Development and Validation of Secondary School Educational Fairness Diagnostic Tool

Abstract: The purpose of this study was to explore the concept and attributes of educational fairness in secondary schools and to develop and validate an educational fairness diagnostic tool. This study conducted a Delphi survey to explore the concept, factors, diagnostic areas, and items of educational fairness in secondary schools and a survey of 159 preliminary and 747 main surveys of middle and high school students to develop and validate the diagnostic tool by conducting factor analysis, reliability, and correlation analysis. In this study, the definition of educational fairness in secondary schools was defined as "the degree to which secondary students perceive that they are receiving appropriate education according to their interests, abilities, circumstances, and backgrounds in terms of opportunities, processes, and outcomes of school education.” In addition, the components of educational fairness were set as distributive fairness, procedural fairness, and interactional fairness, and through the validation process, 30 items were derived, including 10 items on distributive fairness, 10 items on procedural fairness, and 10 items on interactional fairness. The diagnostic tool developed in this study can be used to identify differences between individual variables related to educational fairness perceived by secondary students and to reveal causal relationships between variables that affect educational fairness.


Identification of Network Disruptions Using the Fuzzy K-Nearest Neighbor Algorithm in Case Based Reasoning at STMIK Pranata Indonesia

Abstract: Case-Based Reasoning (CBR) is a computer reasoning system that uses old knowledge to solve new problems. CBR provides solutions to new cases by looking at old cases that are closest to new cases. This would be very beneficial as it would eliminate the need to extract models as required by rule-based systems. The main problem in this research is the frequent disruption/difficulty for students and staff to connect to the network at the Indonesian institutional system. The method used is fuzzy K-Nearest Neighbor (FK-NN) is a variant of the K-Nearest Neighbor (KNN) method with fuzzy techniques. Using case based reasoning to make it easier for the system to reason, which prioritizes the use of information and previous knowledge to represent experience as a source of learning basis for reasoning. This system can help the IT team at STMIK Pranata Indonesia to more quickly handle types of network disturbances. Testing the system using a user acceptance test produces acceptable results and is used properly according to user needs. The scoring method uses a Likert scale with acceptance results of 94% with the criteria of strongly agree. The highest accuracy was obtained from test results with K = 5 with a value of 94.33%


SOCIO-TECHNOLOGICAL ASPECTS OF DELICT AND THE ROLE OF LAW

Abstract: Innovations in technology have contributed to the expansion and multiplication of opportunities for human activity and, in a sense, existence. It goes without saying that this also applies to the realm of the socially illicit and illegal, with all the possible changes, discrepancies and deviations that occur in reality. The ability to measure the extent of the criminal or deviant can help to explain not only the unprecedented impact on the field of relations, opening new ways to capture classical dynamics and giving rise to dynamics quite unlike anything else, but also to sharpen questions about the relationship between normative provisions and changes in society. This also applies to those forms that combine actions that, at first glance, belong to areas independent of each other. Therefore, when turning to theories related specifically to the sphere of digital technol- ogies, we try to include them in various contexts where they still do not play a significant role, and offer interpretive tools that can overcome some traditional classifications of devi- ant phenomena, and also call for critical revision of some abstract paradigms on which a specific part of investigative and judicial practice is based.


Navigating the Transformative Impact of Artificial Intelligence on English Language Teaching: Exploring Challenges and Opportunities

Abstract: This study aims to examine the impact of artificial intelligence (AI) on English language teaching in higher education. The scope of the study was limited to the opportunities and challenges of English language teaching. This study was conducted using a mixed method of conducting surveys and in-depth interviews. A questionnaire link using Spreadsheet’s Google Form was sent to the English lecturer through the WhatsApp group and personal contact No. The study sample consisted of 16 English lecturers. Analyzing the questionnaire and interview transcript indicates that the emergence of artificial intelligence (AI) technology has created opportunities and challenges for English language teaching and learning. AI has changed the landscape of English language teaching in higher education. English lecturers utilized different types of AI for various purposes, for example, asking and solving questions and checking for grammatical errors, checking plagiarism, paraphrasing, and reviewing literature. The study also revealed that AI has a variety of advantages for language teaching and learning, including the detection of plagiarism and grammatical errors. In addition, AI has created opportunities and challenges for the future of English language teaching. AI required digital literacy to utilize. The English teaching profession might be taken over by AI in the future, so English lecturers must continuously improve their digital literacy.


An Analysis of The English Summative Test: EFL Teacher-Made Test

Abstract: This study aims to determine the quality of the multiple-choice summative test items for senior high school EFL teachers in Parepare. The analysis consisted of validity, reliability, level of difficulty, and distractors. The type of research used in this research was quantitative descriptive. The subjects in this study were 33 students. The data in this study was collected using documentation techniques. Data analysis in the form of item analysis was carried out using the Biserial point correlation. The results of the study showed that the valid category was 80% and invalid are 20%. Included in the unreliable test with KR-20 < 0.70 or 0,6. The difficult category was 1 item, the moderate category was 8 items, and easy category was 1 item. Distractors function very good was 70%, good category was 20%, and the quite good category was 10%. It can be resumed that the final multiple-choice test made by EFL teacher has very good quality of item validity, unreliable test, good quality level of difficulty, and very good quality distractor. Based on the result analysis of test items, it can be concluded that several good test items can still be used for the future summative test, and several test items should be revised.


Developing Vocabulary Handbook for the Eighth Grade Students of Junior High School

Abstract: This study aimed to develop a vocabulary handbook for eighth-grade students at SMP Negeri 8 Palopo. The researcher used Research and Development by adapting the ADDIE model—the participants of this study were eighth-grade students of SMP Negeri 8 Palopo and three expert validators. Data were collected through observation, interviews, students' questionnaires, and expert validation. The vocabulary handbook was developed by referring to the needs analysis and adapting a task-based language approach. The appropriate vocabulary handbook as a research product consists of: 1. three units of vocabulary handbook material, namely: What are you doing? My uncle is a zookeeper, and Bigger is sometimes better. 2. Variety of activities adapted from task-based 3. Attractive layout and media 4. Other skills like listening, reading, and writing are completed with exciting grammar and vocabulary. The suitability of the student vocabulary guidebook is evidenced by the results of student and teacher perceptions that were categorized into "Very Good" classification, which indicated that the vocabulary handbook is ready to use with little revisions.


The power of quantum algorithms

Abstract: Building quantum computers isn’t just about developing clever new hardware. Toby Cubitt, who co-founded the quantum-tech firm Phasecraft, tells Hamish Johnston why algorithms are vital too.


Quantum processor integrates 48 logical qubits

Abstract: A quantum processor with 48 logical qubits that can execute algorithms while correcting errors in real time has been unveiled in the US.


Exemplar of Micro Strategies in Teaching Speaking in Indonesian Context

Abstract: The post-method era is currently experiencing a surge in popularity within the realm of English language teaching, particularly in the context of English as a Foreign Language (EFL), such as in Indonesia. Given the crucial role of Speaking as a central element in communication, it requires meticulous attention and instruction in an EFL setting. Teachers play a pivotal role in preparing effective strategies to assist learners in achieving fluency and accuracy in spoken English. Consequently, this paper aims to expound on the recommended micro strategies derived from Kumaravadivelu's post-method framework. It delineates the macro strategies of post-method in English Language Teaching (ELT) as the foundational elements for creating micro strategies tailored to the teaching of Speaking in the Indonesian context. The article outlines ten macro strategies, which include increasing learning opportunities, facilitating negotiated interaction, minimizing perceptual mismatches, activating intuitive heuristics, fostering language awareness, contextualizing linguistic input, integrating language skills, promoting learner autonomy, ensuring social relevance, and raising cultural consciousness. Drawing on this strategic framework, the article gives illustrated instances of classroom activities and instructional tactics, dubbed micro strategies, that have been utilized to improve Indonesian learners' EFL Speaking competency.


The Empowerment of Digital Literacy Aspects in Education Policy: Supporting Young Generation's Preparability for the Digital Era Literature Review

Abstract: This research aims to investigate the importance of the empowering aspects of digital literacy in education policy to support young people's readiness for the digital age. Utilizing a structured approach, this research conducted a deep analysis of the relevant literature and presented data and findings that support the argument. The literature review highlights the concept of digital literacy, its impact on everyday life, and the need for integration into the education system. The research methodology involved a critical analysis of various sources related to the topic, including scientific journals, textbooks, and research reports. The findings show that the empowerment of digital literacy in education policy has a positive impact on preparing young people for the challenges and opportunities of the digital age.orts. The findings show that the empowerment of digital literacy in education policy has a positive impact on preparing young people for the challenges and opportunities of the digital age.


Global Trends on Electronic Learning and Entrepreneurship: Bibliometric Analysis (2001 – 2022)

Abstract: The use of electronic learning in entrepreneurship education will increase entrepreneurial intentions and behaviors in university students. The purpose of this study is to comprehensively analyze electronic learning in entrepreneurship globally. The research method used is VOSviewer-assisted bibliometric analysis. The review showed that there were 398 academic documents published in the Scopus database between 2001 and 2022. The results showed that the most publications occurred in 2021, and keyword identification formed 7 clusters that grouped research themes in recent years. Based on the studies conducted, this study presents a roadmap for prospective researchers as well as critical themes that are very likely for future research success.


Analysis of news article on the Cross-Disciplinary College Applications in response to National Curriculum Reform and College Admissions Reform

Abstract: The purpose of this study is to analyze the impact of national curriculum reform and college admissions reform on the evolving nature of cross-disciplinary college applications and to identify the key issues associated with cross-disciplinary college applications through an analysis of news articles published by mainstream mass media outlets. For this purpose, a total of 2,371 news articles related to cross-disciplinary college applications published by mainstream mass media outlets from January 1, 1997, to Novermber 30, 2023, were collected using web scraping method, and keyword frequency analysis and Structural Topic Modeling (STM) were conducted. The main results of the study are as follows. First, over the course of 26 years, 7 topics related to cross-disciplinary college applications reported in news articles were extracted, including ‘Plans for the promotion of public education and reduction of private education expenses’, ‘Policies for supporting students with specialized talents’, ‘Early admissions procedures and support strategies’, ‘Trends of natural science students enrolling in liberal arts majors and the introduction of integrated CSAT’, ‘Avoidance of science and engineering majors and support policies’, ‘Application strategies based on admission types’, and ‘Trends of liberal arts students enrolling in natural science majors and advantages and disadvantages based on admission types and subjects’. Second, the appearance rate of topics and the major issues varied across different phases of the integrated education system. Lastly, based on the results of this study, implications regarding the issues and directions for improvement of support were derived.


Problematics of Students' Discipline Value in Academic Activities and Non Academic

Abstract: Discipline is a state that is formed and trained through the values of obedience, adherence, loyalty, serenity, order, and order. This research aims to know the concepts of discipline and how to shape the values of student discipline in academic and non-academic activities on FKIP IPS Management at one of the universities in Papua. This research involved 36 students. The method used in this research is qualitative method with purposive sampling techniques. Research results show that the concepts of discipline in academic and non-academic activities are values and mental attitudes. The results of this research clarify and produce forms of disciplinary awareness of students of IPS FKIP in one of the universities in Papua, among others: a) time commitment; b) appreciation of time; c) feelings of shame, guilt and fear; d) agreement as a rule. Furthermore, the student discipline concept of IPS is part of the discipline of democracy and self-imposed discipline that arises from within because of the impulse of feelings, wills and own minds to obey or do by themselves with the emphasis of educational approach. Rules are guidelines and directions, accomplishments are rewards. If the student's attitude shows obedience and adherence, then it is awarded as an achievement.Discipline is a state that is formed and trained through the values of obedience, adherence, loyalty, serenity, order, and order. This research aims to know the concepts of discipline and how to shape the values of student discipline in academic and non-academic activities on FKIP IPS Management at one of the universities in Papua. This research involved 36 students. The method used in this research is qualitative method with purposive sampling techniques. Research results show that the concepts of discipline in academic and non-academic activities are values and mental attitudes. The results of this research clarify and produce forms of disciplinary awareness of students of IPS FKIP in one of the universities in Papua, among others: a) time commitment; b) appreciation of time; c) feelings of shame, guilt and fear; d) agreement as a rule. Furthermore, the student discipline concept of IPS is part of the discipline of democracy and self-imposed discipline that arises from within because of the impulse of feelings, wills and own minds to obey or do by themselves with the emphasis of educational approach. Rules are guidelines and directions, accomplishments are rewards. If the student's attitude shows obedience and adherence, then it is awarded as an achievement.


Structural Relationship to Variables Related to Adult Learners’Academic Engagement at the University Lifelong Education Center

Abstract: This study is to analyze the structural relationship among relationship marketing, social capital, academic engagement, and learning participation period recognized by adult learners at the university continuing education center. The problems of this study are as follows. First, what is the structural relationship among relationship marketing, individual social capital, and academic engagement? Second, what is the mediating effect of social capital on the relationship between relationship marketing and academic engagement? Third, what is the moderating effect of the learning participation period on the relationship between variables? The subjects of this study were 595 adult learners at the J University Continuing Education Center. SPSS 21.0 and Amos 21.0 programs were used to analyze the structural relationship between variables, and bootstrapping was performed to analyze the mediating effect. The specific research results are as follows. First, it was found that there is a relationship between relationship marketing perception, social capital, and academic engagement recognized by adult learners at the university continuing education center. Second, it was found that the social capital of adult learners at the university continuing education center mediates the relationship between relationship marketing and academic engagement. Third, it was found that the participation period of adult learners did not moderate the relationship between relationship marketing and social capital, and between social capital and academic engagement, but moderate the relationship between relationship marketing and academic engagement. These results suggest that in order to increase adult learners' academic engagement, university continuing education centers and instructors should strengthen both variables in parallel or consider institutional relationship marketing to short-term learning participants as well as each institution's relationship marketing and learners' social capital capabilities.


Metaverse and early childhood education care: Exploring in-service teachers’ perceptions and applications in educational settings

Abstract: The purpose of this study was to explore the possibility of applying the metaverse in early childhood education and care, based on the results of the analysis of early childhood education and care teachers' perceptions and opinions about 'metaverse' and 'metaverse applied education.' To achieve this goal, a survey was conducted with 112 teachers working at kindergartens and childcare centers in Seoul and the Gyeonggi province. Among them, 8 were selected for interviews, and the results were analyzed. The analysis revealed the following: First, the level of awareness of the metaverse and metaverse application education among early childhood education and care teachers was generally low. However, for teachers in their 30s with 5-15 years of experience, it was relatively high compared to other groups. Second, the metaverse application education proposed by teachers was found to be related to the curriculum areas of 'Physical Exercise and Health,' 'Communication,' and 'Social Relations' in the 2019 revised Nuri Curriculum. Based on these results, discussions and implications were presented regarding the application of the metaverse in early childhood education and care.


The Influence of the Visualization, Auditory, Kinesthetic (VAK) Learning Model Assisted by Song Clip Video Media on the Poetry Writing Ability of Class X Students of SMA Negeri 7 Medan

Abstract: This research aims to determine the effect of the Visualization, Auditory, Kinesthetic (VAK) learning model assisted by Song Clip Video Media on the Poetry Writing Ability of Class X Students of SMA Negeri 7 Medan in the 2023/2024 Academic Year. The research method used is the experimental two group post-test design method. The research results showed that the average score for the poetry writing ability of experimental class students was 79.68, which was considered good, while the average score for the control class was 62.88, which was considered sufficient. Hypothesis testing shows that tcount > ttable, namely, 6.17 > 2.056, so the null hypothesis (Ho) is rejected and the alternative hypothesis (Ha) is accepted. This proves that there is an influence of the Visualization, Auditory, Kinesthetic (VAK) learning model assisted by song video clip media on the ability to write poetry in class X students of SMA Negeri 7 Medan for the 2023/2024 academic year.


Improving Peer Ecology and Classroom Norms Using ClassNet: Students’ Academic Engagement and Social Behavior

Abstract: The objective of this study was to evaluate the impact of teacher-led interventions in the classroom on students’ academic and social behavior. The intervention focused on improving positive peer relationships and classroom norms. To fulfill this purpose, 115 classes (N = 2,858 students) across elementary, middle, and high school levels were divided into an experimental group (n = 66 classes) and a control group (n = 49 classes). Students’ academic engagement (behavior, emotion), social behavior (overt and relational aggression, prosocial behavior), teacher―student relationships (support, conflict), teacher alignment, and peer network attributes were collected at the beginning and end of the semester through student and teacher reports as well as peer nominations. Multilevel analyses and longitudinal social network analyses were utilized to evaluate the impact of the teacher-led intervention. The results of the multilevel analysis revealed that teacher alignment, teacher―student conflict, and an initial level of academic engagement were significant factors to improve academic engagement. In terms of overt and relational aggression, teacher support played a crucial role in the experimental effect, with varying impacts observed in elementary and middle school groups. Longitudinal social network analysis revealed significant classroom intervention effects on prosocial behavior. Both peer choice and socialization (influence) effects were significant in the experimental group, while only the peer influence effect was observed in the control group. This suggests that the class-based intervention contributed to the development of prosocial behaviors as class norms. This study has educational significance in that it highlights the importance of creating positive class norms and peer ecology to enhance students’ academic engagement and social behavior.


Introduction of the ‘RISE’ and the current status, problems, and alternatives of higher education in Gwangju city

Abstract: If higher education jurisdiction is partially delegated/transferred to local governments according to the Regional Innovation System and Education (RISE), which is scheduled to be introduced in 2025, Korea's higher education system will experience structural changes. The core content of structural change is the dualization of guidance/supervision authority for higher education institutions. The central government and local governments jointly govern higher education. The purpose of this paper is to discuss win-win cooperation measures between Gwangju City and universities in response to the ‘RISE’. To achieve the purpose of this paper, three topics were intensively discussed based on literature analysis. First, in order to understand the relationship between local governments and universities, the relationship between the two was identified and the meaning of win-win cooperation was critically discussed. Second, in order to understand the current status of higher education in Gwangju city, the reality of higher education in Gwangju was analyzed at the national/regional level, focusing on key indicators. Third, in the problems and alternatives of Gwangju higher education, key problems were pointed out and alternatives were presented based on the four factors that make up the higher education system (purpose structure, governance structure, financial structure, and performance management). In the conclusion, it was emphasized that public value should be emphasized in the direction of innovation in the higher education system at the national/regional level and a special change in perception in local governments' understanding of universities was emphasized.


Analysis of Differential Impact of Metacognitive Utilization Strategies on Writing Assignment Achievement and Self-directed Learning Abilities among University Students using ChatGPT

Abstract:
The purpose of this study is to analyze the difference between writing task achievement and self-directed learning ability. The metacognitive utilization strategy involves comparing, contrasting, and organizing the information provided by ChatGPT to facilitate reflective learning.
 A conducted an experimental study with 70 participants from University, divided into three groups: a group utilizing ChatGPT, a group utilizing ChatGPT along with metacognitive strategies, and a control group. The research results are as follows. First, the ChatGPT-using group was significantly higher in writing task achievement and self-directed learning ability than the non-using the ChatGPT group. Second, the group that provided both ChatGPT and metacognition utilization strategies showed significantly higher writing task achievement scores than the group that provided only ChatGPT. Third, the metacognitive variables that positively affect the writing task achievement were found to be self-evaluation, checking and correcting. Fourth, the pre and post-analysis of metacognition revealed significant improvements in attention regulation, organization, and content monitoring. This study holds educational significance in empirically verifying the difference in writing task achievement and self-directed learning abilities among groups by integrating ChatGPT with metacognitive utilization strategies.


Analysis of College Students' Longitudinal Academic Achievement by Admission Type

Abstract: This study explored trends in academic achievement over the past five academic years among admitted students. Focusing on the longitudinal analysis of academic growth, we utilized panel data from students admitted to K University in the metropolitan area from 2018 to 2022. The analysis revealed that trends in academic achievement varied differentially based on the year of admission and admission types. According to the analysis of GPA data from 2018 to 2022, students generally outperformed in the order of document-based interview, document-based, high school subject achievement-based, and test score-based admission types. Particularly, for students admitted through document-based admission, there was a distinct change in the grade trend before and after the COVID-19 pandemic. Furthermore, significant interaction effects between the enrollment period and admission types were statistically significant in the academic performance data for the years 2018 and 2020. This indicates that trends in academic achievement over the enrollment period differ by admission types. The study provides valuable insights by longitudinally analyzing students' academic growth from admission to enrollment, contributing to the assessment of university education outcomes.


Analysis of the Relationship between Secondary School Students’ Digital Literacy Attitudes and Levels

Abstract: This study aims to identify secondary school students’ digital literacy attitudes and levels, analyze the relationship between these two variables, and provide educational recommendations for improving digital literacy levels. The results of the study, conducted with 284 high school students in Sejong Special Self-Governing City, are as follows. First, in terms of digital literacy activities, students use social media (e.g. KakaoTalk), watching videos, and searching for information through smartphones almost every day, with a high frequency of use on weekends. Second, digital literacy attitudes were higher than the levels. Third, digital literacy attitudes and levels were positively correlated. Fourth, digital literacy attitudes had a significant influence on the levels. These findings suggest that attitude-related education should be conducted to improve secondary school students’ practical digital literacy skills.


The Mediating Effect of Ego-Resilience in the Relationship between Empathy Ability and Interpersonal Satisfaction of College Students

Abstract: The purpose of this study was to examine the mediating effect of ego-resilience in the relationship between empathy ability and interpersonal relationship satisfaction of college students. For this purpose, 158 students from J University located in Chungnam area were surveyed and 158 data were analyzed by using SPSS 21.0. The data analysis method used correlation analysis, hierarchical regression analysis, and boot strapping to verify the significance of the indirect effect. As a result, first, among the sub-factors of college students' empathy ability, ego-resilience and ego-resilience, the higher the positivity, the higher the interpersonal relationship satisfaction. Second, college students' empathy ability affected interpersonal relationship satisfaction through ego resilience, and ego resilience was found to have a full mediating effect. Third, the three sub-factors of ego resilience, positivity, control, and sociability, were all found to have a mediating effect, and among them, positivity was found to have the greatest impact. Therefore, this study is meaningful in that it confirmed the influence of ego-resilience and positivity in strengthening interpersonal relationship satisfaction of college students.


An Analysis of Factors Influencing Participation in Lifelong Education Among Adults with Developmental Disabilities

Abstract: Purpose: This study utilized the raw data from the 2020 Disability Status Survey conducted by the Korea Institute for Health and Social Affairs to analyze the factors affecting the participation of adults with developmental disabilities in lifelong education. Methods: These factors were categorized into demographic, health, psychological, and social activity aspects. A logistic regression analysis was conducted with lifelong education participation as a dependent variable and the influencing factors as independent variables. Results: The findings are as follows. First, in the health aspect, higher subjective health status and lower need for assistance in daily life were associated with increased participation in lifelong education. Second, in the social activity aspect, previous experience in lifelong education, leisure activities, and use of welfare centers were found to enhance participation. Third, psychological factors did not significantly influence the participation of adults with developmental disabilities in lifelong education. Conclusions: Based on these results this study proposes practical and policy measures to enhance lifelong education participation among adults with developmental disabilities. These include developing health-related programs, promoting autonomous living in daily life, encouraging participation in leisure activities rather than formal education, expanding lifelong education institutions beyond welfare centers, and creating more opportunities for participation in lifelong education.


Analysis of Translation Techniques in the Article "Cyberbullying: A Digital Society Dilemma" in NADI Magazine Edition 28/2021

Abstract: The aim of this research is to find out common translation and classification techniques in translating the article "Cyberbullying: A Dilemma of Digital Society". This investigation is a translation investigation. Molina and Albir's theory is used to analyze translation techniques. The data for this research are articles in Indonesian and German with the title "Cyberbullying: A Dilemma in Digital Society". The data source for this research is NADI Magazine Edition 28/2021 pages 21-27. Data analysis in this research used qualitative descriptive methods. The translation techniques used were: adaptation with two sentences (0.88%), strengthening with one sentence (0.44%), borrowing with 33 sentences (14.53%), compensation with 20 sentences (8.81%), general equivalent with 14 sentences (6.16%). ), generalization with five sentences (2.20%), linguistic reinforcement with 32 sentences (14.09%), literal translation with seven sentences (3.08%), modulation with 26 sentences (11.45%), specification with five sentences (2.20%), reduction with 27 sentences (11.89%), transposition with 55 sentences (24.27). This translation technique is divided into six types, namely: couplet technique with six sentences (10.17%), triplet technique with 19 sentences (32.20), quartet technique with 19 sentences (32.20), quintet technique with eight movements ( 13.56%), sextet technique with six movements (10.17%), and septet technique with one movement (1.70%). There are two most common classifications, namely the triplet technique with 19 movements (32.20), the quartet technique with 19 movements (32.20). The translation results are then validated by experts. Expert assessment of the quality of the translation is good.


A Study on the Development of Self-Certified Evaluation Rubric for the Quality Management of University Major Curriculum

Abstract: This study attempted to present a standard manual through the case of University A that can be applied when domestic universities want to improve or upgrade the rubric, which is the evaluation standard for curriculum certification evaluation, more than 10 years after conducting their own curriculum certification evaluation to manage and improve the quality of major curriculum. To this end, a rubric draft was first developed by revising and supplementing the evaluation criteria based on the results of analyzing related literature research and analyzing cases of major domestic universities that introduced curriculum certification evaluation through the advice of experts(N=3) in the curriculum . The draft rubric developed in this way verified the validity and feasibility of research results through a meeting with a modified Delphi survey(N=10) and a practitioner in charge of major curriculum certification evaluation(N=5) for experts in the field of education who have conducted research related to curriculum evaluation and curriculum evaluation. The results are as follows. First, evaluation criteria were developed to systematically evaluate the entire course of the major curriculum, including curriculum development, support, operation, performance, and improvement. Second, the evaluation criteria developed in this way were designed with a total of 3 items and 19 evaluation criteria, and an evaluation criterion with a content validity(CVI) of 0.80 or more was developed. Third, based on the results of the curriculum certification evaluation using this rubric, a feedback system was proposed to strengthen the quality of major education by establishing a continuous curriculum quality management system. It is expected that these findings will help improve the quality of the curriculum and operate a substantial curriculum.


A Study on the Effective Institutionalization Measures to guarantee the Basic Political Rights of Public Servants: Focusing on the Cases of the United Kingdom, Japan, and Taiwan

Abstract:
The act of expressing political opinions by public servants can be a great hurt to those in charge of running the state, but it can also be a great source of balance and a great driving force in the management of state affairs. While previous governments have focused on the former possibility and restricted the political expression of public officials, future governments may need to regulate by focusing on the latter, as will be the case in the countries below.
 The reason for guaranteeing the status of civil servants and demanding political impartiality was to provide an institutional foundation for them to carry out their official duties independently of the influence of the ruling party in a party-based state. However, what should be taken into account here is that the civil servant already has the status of an ordinary citizen before obtaining that status.
 In terms of the form of regulations on the political expression of civil servants in each country, there are countries that restrict the basic political rights of civil servants as much as possible, while there are countries that guarantee them to a certain extent, and there are countries that impose only minimal restrictions on the operation of state administration and widely recognize basic political rights. However, this difference in recognizing the basic political rights of civil servants does not lead to a difference in the management of state administration.
 Therefore, this article examines the process of restricting the basic political rights of civil servants in Korea, and examines whether it would not be better for the Korean government to accept civil servants as active agents of expression in the management of the state through the examples of the United Kingdom, Japan, and Taiwan. In the case of the United Kingdom and Japan, the basic political rights of civil servants are allowed differently depending on the rank or whether they are in charge of central or local administration, and in the case of Taiwan, the basic political rights of civil servants are allowed through a special law. It was thought to provide us with considerable implications.


Structural Relationships among Middle School Students’ Perceived Classroom Goal Structure, Growth Mindset, Achievement Goals, and Self-Regulated Learning

Abstract: This study aimed to explore the structural relationships among middle school students’ perceived classroom goal structure, growth mindset, achievement goals, and self-regulated learning. To do so, 373 students at S Middle School in D City participated; 348 of them were used for preliminary analyses, structural equation model analyses, and bootstrapping. The results showed that mastery goal structure had a positive effect on self-regulated learning through the mediation of the mastery approach goal and of the performance approach goal, respectively. Also, the mastery goal structure had a significant effect on self-regulated learning by sequentially mediating growth mindset and mastery approach goals. On the other hand, the performance goal construct had direct effects on only performance approach goals and performance avoidance goals. A growth mindset predicted mastery approach goals and performance approach goals. These results suggest the importance of understanding the structural relationship between environmental factors, such as classroom goal structures, and intrinsic factors in order to promote adaptive academic behaviors. This study also identified a consistent mastery goal structure in classrooms for enhancing a growth mindset and mastery approach goals, along with the necessity for teacher capabilities, home―school partnerships, and policy support.


A Case Study on Blended PBL Courses for Enhancing Field Competency in Teacher Education Course

Abstract: This study attempted to present a specific case of blended Problem-Based Learning (PBL) in teacher education course to enhance the field competency of pre-service teachers. The participants were first-year adult learners majoring in Early Childhood Education who were enrolled in the educational psychology course. The blended PBL process was organized by appropriately combining face-to-face and online sessions, following the sequence of 'Course Introduction,' 'Problem Presentation,' 'Subsequent Problem Steps,' 'Presentation of Results and Discussion,' and 'Review and Evaluation of Learning Outcomes.' Five PBL problems were developed, and during the initial five weeks, students were assigned to individually contemplate one problem per week. In the 10th week, a face-to-face group discussion session was conducted. Subsequently, continuous online communication through Learning Management System (LMS) and Social Networking Services (SNS) was maintained, leading to the group presentation of the final project at the end of the semester. The analysis of reflection journals submitted by students after the class was conducted to assess the effectiveness of a blended PBL course. The case presented in this study proposes a form of instructional design that integrates real-world experiences, suggesting a hybrid approach to PBL in education. Furthermore, the application of blended PBL in educational psychology courses suggests the potential to enhance field competency in teacher education courses.


The Effect of Artificial Intelligence Convergence Invention Education Program on Invention Attitude

Abstract: This study was conducted to develop and apply an artificial intelligence convergence invention education program to students enrolled in middle schools to find out whether this education program is effective as an invention education program. As a result of the study, first, an 8th artificial intelligence convergence invention education program was developed based on the method of utilizing artificial intelligence technology in solving the problem of inventions in previous studies. Second, the 8th artificial intelligence convergence invention education program developed could bring about a positive change in the invention attitude, and it worked regardless of gender. This study was applied only to second-year students of D middle school, and it was applied in conjunction with the 'appropriate technology and sustainable development' unit of the technology subject, so care should be taken, but it is expected that it will be the basic data necessary to introduce artificial intelligence technology in invention education and a precedent case.


An Analysis of Instructional Factors for Development of AI Course for Pre-service Mathematics Teachers

Abstract: With the advancement of artificial intelligence (AI) technology and the increase in societal interest, the <Artificial Intelligence Mathematics> course has been introduced. However, this introduction may place a burden on mathematics teachers in preparing for the new subject. This study examines the relevance between the curriculum and textbooks and the major subjects of teacher training colleges. It aims to suggest the essential instructional content elements by thoroughly considering the theories of artificial intelligence and mathematics, along with the use of computer programming in AI. This approach is intended to equip prospective mathematics teachers with the necessary skills and knowledge to effectively teach the <Artificial Intelligence Mathematics> course.


A Case Study on the Program for Pre-service Teachers to Improve Teaching Profession and Character Education Competency

Abstract: Despite the development of science & technology and changes in the educational system, ‘high morality’, ‘social and emotional intelligence’, ‘pursuit of social justice’, and ‘passion for the teaching profession’ will be treated as important things in the future teacher paradigm. Based on this awareness of the problem, this study intends to develop and operate a program to improve pre-service teachers’ teaching profession and character education competency, and verify the effectiveness. During the 2021 Spring semester, 148 pre-service teachers, in a college of education located in Chungbuk Province, were participated in this research. The curriculum included several areas of teaching profession, character education, multi-cultural education, and civic education. In order to verify the effectiveness of this program, pre- and post-survey were conducted and analyzed with t-tests. In the statistics, pre-service teachers’ teaching profession and character education efficacy were significantly improved. Based on these results, this paper adds further suggestions for pre-service teacher education.


The Effect of Early Childhood Science Education Class Based on Kolb’s Experiential Learning Theory on The Pre-service Early Childhood Teacher’s Science Knowledge, Science Attitude, and Science Teaching Efficacy

Abstract: The purpose of this study was to analyze changes in the science knowledge, science attitude, and science teaching efficacy of pre-service early childhood teachers through early childhood science education classes based on Kolb’s experiential learning theory. To this end, 21 pre-service early childhood teachers who took early childhood science education courses were provided for 15 weeks based on Kolb’s experiential learning theory. The results of the study had a positive impact on science knowledge, science attitude, science teaching efficacy of total and sub-factor. These results suggest that early childhood science education classes based on Kolb’s experiential learning theory are an effective method of early childhood science teacher education


A Study of the Growth Track of Core Competencies of Elementary School Students and Innovative Education Policy of the Gyeongsangnamdo Office of Education

Abstract: This study attempted to analyze the growth of core competencies of elementary school students in Gyeongnam and verify the effectiveness of Gyeongnam Innovation Education Policies that affect them by using short-term three-year longitudinal data from the Gyeongnam Education Longitudinal Study. The research questions are as follows. First, what is the growth Track of core competencies of elementary school students? Second, does the Gyeongnam Innovation Education Policy (class innovation and school democracy) affect the growth of core competencies of elementary school students? For the study, panel data of elementary school students who responded to the first to third surveys of the Gyeongnam Education Longitudinal Study were used. Data from 3,413 students who responded to all three-year surveys were used. The conclusion of the study is as follows. First, as a result of comparing the average value of core competencies of elementary school students, an increase, decrease, or decrease after increase pattern was found. Second, as a result of the potential growth model for core competencies, the linear change model was found to be more suitable than the non-change model. In addition, as a result of putting demographic and sociological variables such as gender, region, and school division into the linear change model, it was found that it had an effect on the initial value and rate of change of core competencies. Third, it was found that both class innovation and school democracy variables invested to analyze the effectiveness of innovative education policies affect the core competencies of elementary school students. In addition, the innovative education policy set up for research analysis was not a one-way structure that affects core competencies, but a mutually compatible structure.


Navigating E-Governance and ICT Dynamics in Afghanistan Higher Education

Abstract: This research examines the impact of E-Governance and ICT initiatives on higher education in Afghanistan. It aims to provide a comprehensive overview of the adoption and usage of electronic services, including scientific programs, student information storage, and service models. The study uses a mixed-methods approach, collecting data through questionnaires, interviews, and observations. Participants include professors, students, and technical staff from 17 universities in Afghanistan, ensuring diverse perspectives. The analysis reveals moderate adoption of electronic services, with a focus on scientific programs and student information management. Positive findings include the use of electronic systems for storing student information and active engagement in online conferences and financial processes. However, areas for improvement are identified, such as electronic evaluation and e-learning, suggesting the need for strategic enhancements. The Ministry of Higher Education demonstrates commendable integration of E-Governance initiatives, indicating progress in digital governance and ICT integration. The study's findings contribute to the existing literature on electronic services in higher education and offer recommendations for a more comprehensive and effective E-Governance framework


The effect of classes using digital materials in science classes on elementary school students' digital literacy and their perception of digital classes

Abstract: The purpose of this study was to investigate the effects of classes using digital textbooks and digital materials on elementary school students' digital literacy and their perception of digital classes, focusing on the expansion of the visual data area in science classes. For the 5th and 6th graders of elementary schools in the central region, classes centered on traditional book textbooks and classes using digital textbooks were conducted to compare the degree of improvement in digital literacy. 158 5th grade students and 146 6th graders were participated in. Classes using book-type textbooks and digital textbooks were conducted 3 times a week for 3 months, for a total of 12 weeks, from October to December to research subjects with similar living conditions and economic levels, and digital literacy tests were conducted before and after. As a result, students who used digital textbooks showed a partially statistically significant change in the degree of improvement in digital literacy compared to students in the control group. As a result of analysis by dividing into five areas: collection of information, utilization and management of information, utilization and evaluation of media, utilization of smart devices, and understanding and practice of copyright and Internet ethics, Comparing the pre-test and post-tests in the experimental and control groups, each showed significant changes in digital literacy. This is a result that runs counter to the idea that digital literacy can only be improved by making greater use of digital materials. However, students who consistently use it are able to induce more changes in terms of digital literacy than students who do not. In addition, students who used digital textbooks preferred classes using audio-visual materials such as digital textbooks more than classes using general photos or book-type textbooks, and had comfort and confidence in using digital devices such as computers and tablet PCs. In addition, it was found that science classes using materials were more preferred. However, among students' individual responses or interviews, some responded that learning was more effective in traditional teaching, research through scientist interviews, and explanations through images or diagrams.


An Analysis on the School Principals' Leadership in the Situation of Parents' Infringement of Teachers’Rights -Based on News Articles and Teacher FGI after Seo2 Elementary School Teacher Case

Abstract: To investigate principals’leadership role and its relevance in school situation in conflict, this study analyzes news articles regarding school principals and interviews with a group of experienced teachers, and identifies some concrete contents of leaderships working on the school sites. Firstly, this study reviews increasing school conflicts by parents’demand for and dissatisfaction with teachers, the leadership roles by principals, and current principal selection institution and training programs and confirms that within current system, it is difficult to form effective and capable leadership to solve conflict democratically and efficiently in school situations. Secondly, this study search news articles for two months from July 18 to september 17 using the Korea Press Foundation's Big Kinds (www.bigkinds.com) service and find 217 articles related to the terms 'teacher rights' and 'principal'. After discussion, 14 articles and 22 cases were extracted and analyzed and a few distinctive leadership types are found such as avoiding responsibility, scolding teacher involved for responsibility, decisions pending, positive conflict mediation type, and proactive communication type. Thirdly, through focus group interview, we check how these kinds of leadership work on school-sites. Based on this analysis, we conclude that further researches and public discourse on leadership formation and principals’ selection and training are required.


Classification of College Students according to Identity-Based Motivation

Abstract:
This study aimed to classify college students according to the theory of identity-based motivation (IBM), which posits that individuals exhibit higher motivation and goal achievement levels when aligning personal identity with goals. College students were classified according to three components constituting identity-based motivation: psychological relevance, readiness to act, and interpretation of experienced difficulty. Through exploratory factor analysis, seven factors involving identity-based motivation were identified: expectations for the utility of university education, expectations for the outcomes of university education, proactive learning attitudes, class participation, study group activities, academic counseling, and satisfaction with university education. These factors were used to classify college student types and investigate student factors and university factors influencing this classification. Using data from the National Assessment of Student Engagement and Learning (NASEL) in 2022 by the Korea Educational Development Institute, multilevel latent profile analysis was applied for analysis. The results of the study offer extended discussions and policy implications.
 First, the identity-based motivation levels among Korean university students were relatively low, which suggests that it is difficult to effectively regulate or mitigate the impact of social contexts on academic performance. Second, although Korean college students have high expectations for university education, they are passive in activities that require active participation, voluntariness, and proactiveness, such as study group activities or counseling with faculty. Third, it was evident that factors like gender, high school background, and GPA still play a significant role as help or obstacles for college students to study hard with a bright outlook for the future. Lastly, the level of identity-based motivation of students attending small and medium-sized community colleges was higher than that of students attending large general admission-year universities: This highlights the need for enhanced career and employment support education at the university level to alleviate ambiguity and uncertainty regarding students’ livelihood after graduation.


A study on perception of restoration and protection of teaching rights

Abstract:
This study sought to find out the attitudes and perceptions of college students regarding the restoration and protection of their teaching rights and to make suggestions for establishing future policies and measures to protect their teaching rights. In the month of November 2023, a web-based survey, Google Questionnaire, was used to collect data with a total of 390 students in college located in "C"-do. Frequency, percentage, mean, standard deviation, independent sample t-test, and one-way analysis of variance were used to determine the perception of restoration and protection of teaching rights, and the LSD method was used for post-test. Significance was set at p < 0.05.
 The questionnaire used as a measurement tool consisted of general characteristics of the research subjects (8 questions), student human rights ordinance and teacher rights (12 questions), strengthening of teacher rights and protection of educational activities (11 questions), and communication system between student’s parents and teachers (11 questions). It consisted of a total of 43 questions, and a 5-point Likert scale was used. To determine the reliability of the questionnaire items, Cronbach’s α coefficient was calculated. As a result, the Cronbach’s α coefficients of all subfactors ranged from .943 to .977.
 As a result of examining the level of awareness according to the general characteristics of the research subjects, excluding the presence or absence of a teacher in the family within the 4th degree, gender, affiliation(teacher's college student/non-pedagogical college student), grade(1st to 4th college students), whether kindergarten, elementary and middle school students have part-time jobs, and whether or not they have experienced school violence while attending elementary, middle, or high school. There appeared to be a statistical difference (p<.05). Overall, the awareness of the Student Human Rights Ordinance and teachers' rights was highest among teachers' students and students who experienced school violence while attending elementary, middle, and high school.
 As a result of examining the awareness of the restoration and protection of teaching rights by section of the questionnaire, the results showed that students in teachers' colleges, 3rd and 4th grade female college students, students in kindergartens, elementary and middle school students, students with experience working part-time, and students with a teacher in their family within the 4th degree of kinship. Students who experienced school violence while attending elementary, middle, or high school had a high level of awareness. Among students who experienced school violence, victims had a higher level of awareness of the restoration and protection of school rights than perpetrators.


Analysis and Application of Supply Chain Management for Cosmetic Inventory at Hayati Store Using PHP Programming Language and MYSQL Database

Abstract: This research focuses on Hayati Store, a business specializing in the sale of beauty tools and beauty products. The study explores various aspects of beauty product management at Hayati Store, including demand planning, inventory management, and distribution during sales, using Supply Chain Management (SCM) methodology. Implementation will be carried out using PHP programming language and MYSQL database to facilitate effective management. Although the store has computerized cosmetic and beauty tool sales, the current system only covers sales aspects, lacking information on stock turnover from product receipt to warehouse inventory management. This research aims to optimize the distribution process during sales and transform existing data into a comprehensive Supply Chain Management system


Communication is The Key to Promote Organizational Citizenship Behavior During Restructuring Organization

Abstract: This research was conducted with the aim of answering phenomena, both the factual conditions of the business environment and the results of previous research so that it is beneficial for organizations to adopt the best policies for their organization. Apart from that, conceptually, this research is expected to contribute to the development of knowledge related to restructuring and employee organizational citizenship behavior related to communication. Moreover, the mediating effect of communication on the organization restructuring and organization citizenship behavior are examined through a quantitative technique. The data comes from companies that operate in the manufacturing sector and have undergone restructuring. Data from a sample of 72 emplyees were used to examine the hypothesized models. Results show that communication fully mediated the relationship between organizational restructuring and organizational citizenship behavior.


A Study on the Relative Efficiency and Productivity Change of Junior College

Abstract: This study was conducted to measure the relative efficiency of 124 junior colleges in Korea. Data for three years from 2020 to 2022 were provided on the university information disclosure website, and the relative efficiency and productivity changes of junior colleges were analyzed using DEA and Malmquist techniques. As a result of the DEA analysis, it was analyzed that the efficiency of 23 junior colleges in 2020, 34 in 2021, and 26 in 2022 is determined by scale. As a result of the analysis of the Malmquist productivity index, a total of 33 junior colleges have generated technological progress, and 91 junior colleges have generated technological regression, which is about three times higher than the occurrence of technological progress. The average value of MPI-based productivity was analyzed to have decreased by about 4.8% over three years, and it was found to be affected by changes in efficiency. It was analyzed that 108 junior colleges were affected by efficiency by scale, excluding 16 junior colleges that were analyzed to have pure technological efficiency greater than efficiency of scale.


A Study on the Mediating Effects of Social Support and Learning Engagement in the Relationship between Chinese Women's Lifelong Learning Motivation and Learning Outcomes

Abstract: The purpose of this study is to investigate the relationships among lifelong learning motivation, social support, learning engagement, and learning outcomes in Chinese adult women to enhance their lifelong learning performance. The research examines differences in lifelong learning motivation, social support, learning engagement, and learning outcomes among Chinese adult women based on background variables. Additionally, the study analyzes the structural relationships between these variables and explores the mediating effects of social support and learning engagement. According to the results, adult women's motivation for lifelong learning has a positive impact on learning outcomes, and both learning orientation and goal orientation also positively influence learning outcomes. Positive relationships were observed between lifelong learning motivation and social support, learning orientation and social support, as well as goal orientation and social support. In terms of the relationship with learning engagement, both lifelong learning motivation and learning orientation had a positive impact, while the relationship with goal orientation was not significant. Furthermore, indirect effects of social support and learning engagement on learning outcomes were confirmed. Social support mediated the relationship between lifelong learning motivation and learning outcomes, as well as between learning orientation and learning outcomes, and goal orientation and learning outcomes. The study's findings highlight that Chinese women's lifelong learning motivation positively influences learning outcomes through social support and learning engagement. Consequently, the study suggests strategies to enhance lifelong learning motivation, improve social support, and foster learning engagement in Chinese women to elevate their learning outcomes. Efforts are emphasized to strengthen social support and promote diverse learning activities for the positive influence of women's lifelong learning motivation on learning engagement and outcomes.


The Importance-Performance Analysis and Educational Needs of Elementary Pre-service Teachers' Competencies in Intelligent Information Society

Abstract: This study aims to provide implications for improving teacher education programs for elementary pre-service teachers by analyzing the importance and performance differences, as well as educational needs of their competencies in the intelligent information society. To achieve this, an online survey was conducted with 299 elementary pre-service teachers, and various analyses were performed, including paired sample t-tests, Importance-Performance Analysis (IPA), Borich needs analysis, and The Locus of Focus model analysis. These analyses identified competencies requiring enhancement and derived educational priorities for each competency. The results revealed, firstly, that all aspects of competencies for elementary pre-service teachers in the intelligent information society were statistically significantly higher in importance than in performance. Secondly, the analysis of the differences in importance and performance of competencies in the intelligent information society identified competencies falling under the ‘Concentrate Here' category, including development of teacher expertise (F), adptation to social paradigm shifts (F), and curriculum reorganization (D). Thirdly, according to Borich's need analysis and The Locus of Focus model analysis, the top educational needs among competencies for elementary pre-service teachers in the intelligent information society were adapting to changes in social paradigms (F) and development of teacher expertise (F) as the first priority, establishing and managing learning ecosystems (D) and interpreting and utilizing big data (E) as the second priority, and curriculum reorganization (D) and customized learning design (D) competencies as the third priority. Based on these results, the study discusses implications for improving teacher education programs for future teachers by understanding the competencies required for elementary pre-service teachers in the intelligent information society.


Understanding the experience of graduate students’ social knowledge construction in a learning community: Focusing on BK21 project participants

Abstract: The purpose of the study is to understand the social knowledge construction process from the learning communities experience of postgraduate students participating in the BK21 project. There are two research problems: one is to explore how postgraduate students' learning communities experience contributes to the construction of knowledge from the perspective of Social Constructivist Learning Theory, and the other is to understand the changed perceptions after postgraduate students’ learning communities experience. The research method used was interviews, among qualitative research methods. The study results derived four themes: postgraduate students' motivation and process for participating in the learning communities, passive social knowledge experience, active social knowledge experience, and transition from peripheral to owner. First, the social knowledge construction process is appeared through interaction (communication) and cooperative learning (joint research, seminars) as help (feedback, social relationship) of professors/seniors/colleagues in the zone of proximal development (learning community). Second, postgraduate students showed a change in confidence in social support and a positive attitude toward graduate life after participating in the learning communities. In addition, postgraduate students recognize their tendency to learn about their major and research methods from various majors and perspectives through a learning communities. This study will enable to comprehensive understanding of postgraduate students' learning communities. It will provide basic data to improve the operation of learning communities and create an educational environment based on the social knowledge construction process in graduate schools.


Analyzing the Short-term and Long-term Effects of the Free-Semester Program on Career Maturity

Abstract: This study aimed to analyze the short-term and long-term effects of the free-semester program on career maturity. For this purpose, this study conducted fixed-effects and difference-in-differences analyses along with descriptive analyses using second- through eighth-wave data from the Korean Education Longitudinal Study (KELS). The results of the descriptive statistics analysis showed that in elementary school, the career maturity of the group who had not experienced a free-semester program was higher. However, from the first year of middle school, the career maturity of the group who had experienced a free-semester program tended to increase. The difference between the two groups, however, decreased in high school. The fixed-effects and the difference-in-differences analyses showed that the effect of the free-semester program on career maturity was significant in middle school but not in high school. This confirms that the short-term effect of the free-semester program is positive, but the long-term effect is insignificant. Based on the above findings, this study recommends reconsidering the timing of the free-semester program or implementing additional career programs in high school.


The Role of Cloud Computing in Transforming ICT Infrastructure in Educational Institutions

Abstract: The integration of cloud computing into the Information and Communication Technology (ICT) infrastructure of educational institutions is a transformative paradigm that holds significant implications for the efficiency and efficacy of academic processes. This paper explores the role of cloud computing in reshaping ICT infrastructure within educational settings. A comprehensive literature review establishes the current landscape of ICT in education, identifying challenges and limitations. The study delves into the theoretical foundations of cloud computing and investigates its potential benefits, including improved accessibility, scalability, and cost-effectiveness. Empirical evidence and case studies are presented to illustrate the transformative impact of cloud computing on educational ICT infrastructure. The discussion encompasses challenges and considerations, including data security and privacy concerns, and offers insights into the future directions of cloud computing in education. This research contributes to the ongoing dialogue surrounding technology in education and provides practical recommendations for harnessing the full potential of cloud computing.


Evaluation of Passive Fire Protection Systems for Library and Service Buildings Archives of Indragiri Hulu Regency

Abstract: The purpose of this research is to determine the evaluation of the protection system passive in fire prevention efforts in official buildings Library and Archives of Indragiri Hulu Regency, Riau Province. Data collection was carried out by observation, document review and interviews regarding passive fire protection systems in Service Buildings Library and Archives of Indragiri Hulu Regency, Riau Province. The results of this research are to show that the building has a passive fire protection system with assessment standards and the results of the conformity assessment against applicable standards, namely the Service Building Libraries and Archives have a score of 67.39%.


Development of Google Sites Web-Based Multimedia Learning in the Arts and Culture Subject for Class X TKJ 2 UPT SMK Negeri 2 Sidenreng Rappang

Abstract: This advancement investigate points to create a item within the shape of Google Destinations Web Learning Mixed media for the Expressions and Culture subject lesson X TKJ 2 UPT SMK Negeri 2 Sidenreng Rappang. The investigate strategy utilized is the Investigate and Advancement (R&D) improvement show with the 4D advancement demonstrate which has been created by Thiagarajan, Semmel and Semmel (1974) which incorporates four stages, to be specific: Characterize which incorporates the beginning last investigation steps, understudy Investigation , concept investigation, and detailing of learning targets; Plan or arranging which incorporates the steps of planning tests, selecting media, selecting instructing fabric groups, and making starting plans; Create or improvement which incorporates item improvement steps, master evaluation, improvement trials, and item modifications. Information collection strategies utilize perception, interviews, surveys and tests which are at that point analyzed quantitatively distinctly; Spread or spread which incorporates the steps of disseminating media. The appraisal comes about appear that the advancement of Google Destinations Web Learning mixed media is evaluated as exceptionally substantial and exceptionally viable. These comes about were gotten from media and fabric master approval, instructor reactions, and reactions from course X TKJ 2 UPT SMK Negeri 2 Sidrap students.


In Pursuit for Legitimacy: An Overview of Contemporary Policing In Indonesia

Abstract: The Indonesian National Police (Polri) is currently placing a fair amount of concern on the state of its police legitimacy. However, numerous evidence of public response to date indicated some problems that threaten the legitimacy of Polri and might affect their performance. Following the public response, Polri launched several significant alterations to its policing methods. Hence, several critics questioned the effectiveness of Polri’s current method. This study will examine the pros and cons of the new policing scheme taken by Polri based on literature review of previous studies. Some suggestions as an alternative method are also provided in this study to improve Polri’s approach. Implications of these findings for police practitioners and researchers are then discussed.


Digital Language Learning in Higher Education: A Critical Literature Review on Teachers' and Students' Challenges

Abstract: Higher education is using DLL more. Both teachers and students are used to digital learning. We have several digital learning examples. Teacher and student struggles with digital learning, such as using it, persist. This study reviews five-year-old references on digital learning in higher education. The researchers reviewed the literature on digital learning issues in higher education to determine what lecturers and students encounter in teaching and learning. The results suggest that teachers and students encounter issues including readiness to use them. Teachers and students struggle with technology access in different places, thus they should be discussed.


Assessing the Impact of Mobile Applications on Student Engagement in ICT and Computer Science Education

Abstract: This paper investigates the impact of mobile applications on student engagement in the realms of Information and Communication Technology (ICT) and Computer Science Education. As the integration of mobile applications in educational settings becomes increasingly prevalent, understanding their influence on student engagement is crucial for optimizing learning experiences. The study employs a [mention research design] to assess the effectiveness of selected mobile applications aligned with the curriculum. Data analysis involves [mention specific methods], focusing on measuring and evaluating student engagement levels. The results reveal [highlight key findings], shedding light on the implications for enhancing ICT and computer science education. This research contributes to the existing literature by addressing gaps and providing insights into the practical use of mobile applications in educational settings.


Benefits and Challenges of Mobile-Learning Brought to Student Learning Outcomes in Higher Education: A Systematic Review from 2014-2023

Abstract: The development of technology has brought new development opportunities to education, in other words, mobile and remote learning have become an indispensable part of various schools. In addition, the impact of mobile and remote learning on students has attracted attention from all sectors of society. Mobile learning has been utilized in the process of teaching and learning in higher education, leading to various impacts on student learning outcomes. Many researchers have conducted empirical studies to explore how mobile learning impact student outcome in higher education institutions. To facilitate the use and design of mobile learning and improve teaching and learning in the digital age, there is a urgent need to review existing literature and identify benefits and challenges that ML lead to student learning outcomes. This study uses systematic literature review (SLR) to analyse 355 articles from Scopus and wos. Mobile learning bring benefit as follows: Providing Flexibility and Accessibility; Improving learning effectiveness;Developing internal motivation and positive attitude; Enhancing student engagement. On the other hand, mobile learning cause several challenges: current functions failed to complete leaning and teaching outcomes; Distracting user from knowledge learning; leading to vision impairment. I suggest further researcher to identify how ML influence teachers and teaching process.


Augmented Reality in 4D Flashcard: The Effects in Teaching Speaking Skill

Abstract: The use of augmented reality of 4D flashcard is one of the media that supports teaching English, especially in speaking skills, it can also increase students' confidence and interest in learning. The purpose of this study was to determine whether the use of augmented reality in 4D flashcard can improve students ' speaking skills. This study used a pre-experimental method with one group pre-test and post-test design. The sample of this study was Class XI MIPA 3 consisting of 34 people with classroom random sampling techniques. This research instrument was a test of speaking skills. The results of this study showed that there was an increase in the students’ average score. The pre-test score of students (55.37) is greater than the post-test (71.03). In the significance level p (5%) and T-test value of 2.03 is greater than T-table 16.46 (2.03 ° 16.46). Thus, it can be concluded that the use of augmented reality of 4D flashcard students were able to improve students’ speaking skills. So, the null hypothesis (H0) is rejected, and the alternative hypothesis (Ha) is accepted.


The Stoic Distinction between Syllogisms and Subsyllogisms

Abstract: Abstract This paper aims to explain the distinction between syllogisms and subsyllogisms in Stoic logic. Subsyllogisms replace at least one premise in a syllogism with a premise that is, according to Galen and Alexander, equipollent to the respective syllogistic premise. This equipollence is not synonymy of meaning between two linguistic expressions, but obtains between two propositions when they are true or false by the same standard. Subsyllogistic premises are simple propositions that are equipollent to the non-simple premises of the respective syllogisms. For subsyllogistic premises that replace syllogistic premises consist of predicates combining with cases rather than of connectives or negations governing propositions. Because of this difference in their premises, subsyllogisms have a different logical form than syllogisms and are not formally valid.


Teaching Model Development of English Speaking Skill Using Story Telling in Junior High School

Abstract: The research aim is to describe the problem of speaking ability in junior high school needs to be done to observe the development of students'' learning difficulties in current speaking skills.The type of research is a class action research descriptive quantitative. The population of this research is class VIII teacher at Junior High School state three Binjai. Based on the results of the pre-test, the pre-test mean score was 66,26 and the mean score in the post-test was 86,93. It can be seen that the students'' skill in speaking by using storytelling technique increased. From these calculations, it can be inferred that there was a difference of students'' scores before and after receiving the treatment. The affect storytelling used single story telling is from score minimum pre-test 30 to score post test is 82 and score maximal pre-test 65 and post-test is 82 it is mean the research is succeed and have affect to speaking skill. The improving from the research is when using the single story telling model, the results obtained increased by approx. 49%. Based on the data analysis, the researcher found that storytelling technique can improve students’ skill in speaking. As the result from the pre-test and post-test mean scores which were given. The improvement of mean score was 66,26 to 86,93.It means that there is significant difference of achievement between the students who were taught by using storytelling technique and the students who were taught without storytelling technique. The data also showed that students felt that storytelling technique could help them in speaking. Most of them also responded that they attempt to use storytelling technique in their daily speaking.


Sliders Provide Added Value

Abstract: A move to sliding-head turning has proven to be a game-changer at Nuneaton-based subcontractor Oaston Engineering


Implementasi Sistem Monitoring Alat Pengering Biji Kopi Berbasis IoT (Internet of Things)

Abstract: Indonesia holds the third position in global coffee bean supply, with a 3.3% increase in demand in 2021 according to ICO data. In line with ICO Resolution 407, coffee bean quality must be high, indicated by a 12.5% moisture content through drying processes. Mechanical drying is faster than traditional methods, thus becoming the focus of this research. This study implements an IoT-based monitoring system for coffee bean drying equipment. The aim is to create and implement a monitoring system for temperature (0°C - 70°C) and electrical energy consumption (kWh) in coffee bean drying, displayed on the ThingSpeak dashboard. Test results show that the temperature monitoring system using DHT22 sensors at the inlet and outlet of the rotary dryer tube has an average error of 2.1%. The energy monitoring system using PZEM-004T has a 0% energy measurement error. These results indicate a reliable monitoring system that enables remote monitoring via the internet. Furthermore, the study tests manual (on/off) and fuzzy logic control methods to achieve 12% moisture content in coffee beans. The fuzzy logic control method demonstrates better temperature stability and 11.2% cost savings in operational expenses. This research benefits coffee farmers by facilitating efficient monitoring of the bean drying process, and recommends the use of the fuzzy logic control method for stable temperature and lower operational costs.


Implementation Of Death Crime Executions for Class I Narcotics Distributors

Abstract: The enactment of Law Number 35 of 2009 concerning Narcotics, types of Psychotropics class I and class II as stated in the attachment to Law Number 5 of 1997 concerning Psychotropics have been moved to Narcotics class I in Law Number 35 of 2009 concerning Narcotics and the attachment regarding types of Psychotropics class I and class II in Law Number 5 of 1997 concerning Psychotropic Substances are revoked and declared invalid. With this figure, the level of narcotics use in Indonesia is the largest in Asia. Indonesia is considered a drug emergency, the process of executing the death penalty does not have a deterrent effect on drug dealers or smugglers. The problem is, how to carry out the execution of the death penalty for class I narcotics dealers and what are the obstacles to not immediately carrying out the death penalty for class I narcotics dealers. The research method used is Empirical Normative Legal Research. In conclusion: The death penalty imposed by a court in a general court or military court environment is carried out by being shot to death. This provision does not reduce existing provisions in the criminal procedural law regarding carrying out court decisions. Based on Law No. 35 of 2009 concerning Narcotics. And the factors that cause obstacles in the implementation of the death penalty include legislative factors (legal substance), law enforcement factors, means and facilities factors, and community factors.


Emergency sign language recognition from variant of convolutional neural network (CNN) and long short term memory (LSTM) models

Abstract: Sign language is the primary communication tool used by the deaf community and people with speaking difficulties, especially during emergencies. Numerous deep learning models have been proposed to solve the sign language recognition problem. Recently. Bidirectional LSTM (BLSTM) has been proposed and used in replacement of Long Short-Term Memory (LSTM) as it may improve learning long-team dependencies as well as increase the accuracy of the model. However, there needs to be more comparison for the performance of LSTM and BLSTM in LRCN model architecture in sign language interpretation applications. Therefore, this study focused on the dense analysis of the LRCN model, including 1) training the CNN from scratch and 2) modeling with pre-trained CNN, VGG-19, and ResNet50. Other than that, the ConvLSTM model, a special variant of LSTM designed for video input, has also been modeled and compared with the LRCN in representing emergency sign language recognition. Within LRCN variants, the performance of a small CNN network was compared with pre-trained VGG-19 and ResNet50V2. A dataset of emergency Indian Sign Language with eight classes is used to train the models. The model with the best performance is the VGG-19 + LSTM model, with a testing accuracy of 96.39%. Small LRCN networks, which are 5 CNN subunits + LSTM and 4 CNN subunits + BLSTM, have 95.18% testing accuracy. This performance is on par with our best-proposed model, VGG + LSTM. By incorporating bidirectional LSTM (BLSTM) into deep learning models, the ability to understand long-term dependencies can be improved. This can enhance accuracy in reading sign language, leading to more effective communication during emergencies.


The application of business intelligence system based on big data in e-commerce data analysis

Abstract: In the face of the rapid development of modern science and technology, in order to ensure that the commercial level is in line with The Times, we need to change the traditional operation mode, and fully apply the science and technology to the e-commerce data analysis. Nowadays, driven by the era of big data development, social process, bring new changes to daily life, consumption, such as electricity is a new product, as the latest business model in modern society, has an important impact on market development, want to ensure electricity enterprises can meet the demand of social development, then from the perspective of electricity data analysis, effectively grasp the market changes, so as to more effective to carry out subsequent work, to fundamentally improve the comprehensive competitiveness of electricity enterprises in the modern market. In view of this, in order that the article wants to ensure the smooth progress of the e-commerce data analysis work, it should start with the business intelligence system under the background of big data, and combine it to ensure the steady development of the e-commerce industry.


The Optimized Deployment of Service Function Chain Based on Reinforcement Learning

Abstract: With the rapid development and application of technologies such as artificial intelligence, the Internet of Things, and cloud computing, data is showing explosive growth. In order to address the rising energy consumption due to the increasing number of devices in the traditional network architecture, software-defined networking and network function virtualization have been proposed. In this paper, we propose a reinforcement learning model based on actor-critic architecture. The service function chain deployment problem is mathematically modeled, and minimizing the total service function chain delay is taken as the optimization objective. The experimental results demonstrate that the service function chain deployment algorithm proposed in this paper is improved in terms of total system latency.


An Analysis of the Mean Chart Under OC Function for Correlated Data

Abstract: In this paper, we determine and illustrate the effects of correlation between the observations on the operating characteristics curve, Type-I error and Average Run length. In addition, for different correlated coefficient the control limits have been developed. To study the effect of correlated observations the OC curves, Type-I error, ARL and factor A have been worked out using various equation and values are given in Tables 1 to 4. To give a visual comparison of OC function and ARL, curves have been drawn in Figures 1 to 6. It is found that correlation between observations seriously affected the OC, Type-I error, ARL and factor A for the mean chart when standards are known. When the center line and control limits are based on the large value. Thus, it will be healthy contribution in manufacturing process which tracks important product characteristics in industry.


Research on the Development of a Conceptual Framework for Core Values in National Curriculum through Future Society Prediction

Abstract: This study aims to address the importance of core value education required in the curriculum according to the changing times, and to explore and develop a core value concept word system for the curriculum at the national level curriculum. As a research method, first, the core value concept words used in the 2022 revised curriculum documents were frequency analyzed to derive important core value concept words. Then, we analyzed the headlines of the hexagonal promotion tasks in the main work report documents of each government department using frequency analysis and topic modeling techniques to identify trends, and generated scenarios for predicting the future society using ChatGPT and finally classified them according to STEEP. The future society prediction scenarios classified by STEEP were matched with the core value concept words in the 2022 revised curriculum document and presented systematically in terms of society and individuals. As a result of the study, 30 core value concept words including “respect” were derived from the 2022 revised curriculum, and “industry, expansion, and promotion” were important in the headlines of the key initiatives of each government ministry's major work report. Words such as “education, culture, and marine,” which represent the characteristics of the government's major work report but also the characteristics of each ministry, were also included in the high frequency range, confirming that it can be meaningful to derive future scenario topics from the headlines of the key initiatives of the government's major work report. There were 10 future society prediction scenarios generated using ChatGPT, and after classifying them according to STEEP, we developed a core value concept word system consisting of a total of 30 words divided into society and individual aspects. The core value conceptual language system will contribute to the activation and systematization of core value education in elementary and secondary schools, and will be the basis for connecting with liberal arts education at the university level.


Intelligent Trajectory for Mobile Element in WSNs with Obstacle Avoidance

Abstract: In wireless sensor networks (WSNs), mobile sink-driven data acquisition can mitigate hotspot issues, which further increases WSN efficiency, such as throughput, lifetime, and energy efficiency, while reducing delay and packet loss. Recently, most mobile sink algorithms have focused on efficient paths, and few consider obstacles in the network environment. Nevertheless, constructing an obstacle-aware trajectory in a WSN is challenging. In this context, this paper proposes a bug algorithm based on an obstacle-aware intelligent trajectory (CSOBUG) for a mobile sink to acquire data from sensor nodes in WSNs efficiently with the help of cat swarm optimization (CSO). The proposed CSOBUG algorithm has two phases: selecting visiting points and constructing a trajectory. A CSO-based clustering approach is used to select visiting points, and a bug algorithm is used to select a trajectory. Comparing CSOBUG with existing techniques, it is found that CSOBUG is less computationally intensive than the existing techniques. As well as outperforming traditional methods based on multiple performance metrics, the CSOBUG achieves superior results in a variety of scenarios.


Analysis of the Effect of Corner Points and Image Resolution in a Mechanical Test Combining Digital Image Processing and Mesh-free Method

Abstract: In this paper, we presen t a DIP-MLS testing method that combines digital image processing with a rigid body-based MLS differencing approach to measure mechanical variables and analyze the impact of target location and image resolution. This method assesses the displacement of the target attached to the sample through digital image processing and allocates this displacement to the node displacement of the MLS differencing method, which solely employs nodes to calculate mechanical variables such as stress and strain of the studied object. We propose an effective method to measure the displacement of the target's center of gravity using digital image processing. The calculation of mechanical variables through the MLS differencing method, incorporating image-based target displacement, facilitates easy computation of mechanical variables at arbitrary positions without constraints from meshes or grids. This is achieved by acquiring the accurate displacement history of the test specimen and utilizing the displacement of tracking points with low rigidity. The developed testing method was validated by comparing the measurement results of the sensor with those of the DIP-MLS testing method in a three-point bending test of a rubber beam. Additionally, numerical analysis results simulated only by the MLS differencing method were compared, confirming that the developed method accurately reproduces the actual test and shows good agreement with numerical analysis results before significant deformation. Furthermore, we analyzed the effects of boundary points by applying 46 tracking points, including corner points, to the DIP-MLS testing method. This was compared with using only the internal points of the target, determining the optimal image resolution for this testing method. Through this, we demonstrated that the developed method efficiently addresses the limitations of direct experiments or existing mesh-based simulations. It also suggests that digitalization of the experimental-simulation process is achievable to a considerable extent.


Methodology, application and platform for urban security planning and management

Abstract: With the acceleration of economic development and urban construction, urban security accidents have occurred around the world with alarming frequency, causing serious casualties and economic losses. Urban security planning and management as emerging areas of research have drawn widespread attention. For city development plans, urban security planning and management have become one of major topics. This paper first outlines the principles of urban security planning and management, combined with the construction of a digital and intelligent platform for urban emergency management. This research then analyzes the core technology and equipment support system of urban security management and its practical application. It also presents a new model based on urban security planning and management, followed by examples of its application in some mega infrastructure development for security planning and design (for example, Singapore Changi Airport and Shanghai Hongqiao Airport Transportation Hub). Additionally, a blast protection concept of urban security planning and management is provided.


Exploring the Effects of Green Transformational Leadership on Job Satisfaction in Pakistan's Pharmaceutical Industry: The Mediating Role of Intention

Abstract: This study investigates the relationship between green transformational leadership (GTL), job satisfaction (JS), and the mediating role of 'intention' in Pakistan's pharmaceutical industry within the framework of the resource-based view (RBV) theory. The research uncovers that GTL, encompassing environmental consciousness, ethical conduct, and innovation, is a unique organizational resource that shapes employees' intentions toward embracing sustainable practices. A quantitative methodology was adopted to achieve the aims of the study. Data were collected through an online survey to manage the data (418 valid responses), and Smart-PLS structural equation modeling (PLS-SEM) was employed to hypothesize a model. The results demonstrate that GTL had little significant direct effect on JS. This study also found that intention has a full mediation effect between GTL and JS. Additionally, the study found that the correlation among GTL is affected by JS and intention. This study contributes to the literature and body of knowledge on green human resource management and organizational behavior through the lens of RBV theory.


Educator’s Spirit is the Primary Orientation of the Construction of a High-Quality Teacher-Team in the New Era

Abstract: The educator’s spirit is the professional ethos that must be cultivated in the process of shaping the new generation of teachers. It serves as the foundational pillar for the growth and development of educators, aligning with the essential prerequisites of a robust educational landscape in the modern era. The spirit of the educator is the primary guiding force behind the cultivation of high-quality teachers in the new era. By elucidating the connotations and essence of the educator’s spirit, it becomes evident that integrating it into teacher development holds unique value. This integration contributes to the advancement of teachers’ morality and ethical frameworks, ensuring effective education delivery that meets public satisfaction and strengthens the nation’s educational strategy. The integration of the educator’s spirit into teacher development is a practical imperative for educators in the new era. It clarifies their value orientation, equips them to navigate risks and challenges, and reconnects them with the true essence of education. Furthermore, incorporating the educator’s spirit into the standardization, cultivation, and institutional frameworks presents a tangible pathway to enhancing the high-quality evolution of teacher development in the new era.


Abstract: This research paper presents a novel Deep Learning Based Multi-Camera Person Tracking and Re-identification System designed to enhance security and surveillance in public spaces. Leveraging advanced technologies including Object Detection through YOLO and Deep SORT, the system offers an efficient solution for monitoring and tracing individuals across multiple camera views. Through object detection, individuals are identified within each camera frame, while Deep SORT ensures seamless tracking as they move across different camera perspectives. Additionally, a person re-identification module enhances tracking accuracy by extracting distinctive features and linking individuals across various camera views using unique identifiers. This system represents a significant advancement in surveillance capabilities, contributing to the development of effective and user-friendly surveillance solutions.