Reviewerly/exHarmony huggingface dataset:
3D Animated Videos to Improve Student Knowledge at a Primary School in Malaysia

This study aims to examine the usability and usefulness of the learning module for the development of 3D animated videos to improve student knowledge at SK Kepong Baru. The use of 3D animation technology is becoming increasingly important in education. An effective learning module is needed to ensure the enhancement of student knowledge. The findings indicate that the learning module for 3D animated video development is perceived as useful by students at SK Kepong Baru. They report positive feedback on the clarity of the module content and user satisfaction. However, there is room for improvement in the user interface of the module to ensure a more intuitive and user-friendly experience. Based on the study findings, suggestions for improvement include enhancing the user interface of the module to enhance the learning experience. Additionally, enriching the module content with project examples and additional resources can improve students' understanding of 3D animated video development. This study provides guidance to the school authorities in improving the quality of the learning module provided for 3D animated video development at SK Kepong Baru. By considering the suggested improvements, it is expected that the learning module will offer greater benefits in enhancing students' knowledge in this field.
Photonic reservoir computing for energy efficient and versatile machine learning application

Time-multiplexed reservoir computing is a machine learning concept which can be realised in photonic hardware systems using only one physical node. The concept can be used for various problems, ranging from classification problems to time-series prediction tasks, while being fast and energy efficient. Here, a theoretical analysis of a reservoir computer realised via delay-coupled semiconductor lasers is presented and the role of the internal system time-scales and the bifurcation structure is discussed. It is further shown that optimal performance can be reached by tailoring the coupling delays to the specific memory requirements of the given task.
Structural Relationship among Teacher’s Decision-making Authority, Morale·engagement, and teacher efficacy

The purpose of this study is to investigate the structural relationship among teacher’s decision-making authority and morale·engagement on teacher efficacy. For this purpose, high school teacher data from the 9th year of the Gyeonggi Education Longitudinal Study (GEPS) were used, and a structural equation model was used. The results are as follows; First of all, teachers’ decision-making authority have a static significant impact to morale·engagement and teacher efficacy. Secondly, teachers’ morale and engagement have a significant effect to teachers’ efficacy. Third, indirect effect between teachers’ decision-making authority and teachers’ efficacy are significant madiated teachers’ morale and engagement. Based on these findings, we proposed policies necessary to maintain and improve teacher efficacy. The results of this study have implications in that it proves that supporting teachers’ decision-making authority is a effective way to develop sustainable school education.
Content Analysis of the Career Linkage Education in 2022 Revised Elementary School Curriculum

This study analyzes the content of career linkage education in the 2022 revised elementary school curriculum and draws implications for its improvement and implementation. To this end, a literature analysis was conducted on the revised curriculum overview, subject-specific curriculums, and the creative experiential activity curriculum documents, focusing on the elementary school level. The key findings are as follows: First, regarding career education, the definition of career linkage education in the 2022 revised curriculum summary requires revision to more clearly reflect career education. There is a need to place a greater emphasis on strengthening career education and fostering connections across school levels. Second, except for a few elementary school subjects, the majority lack sufficient reflection on career linkage education content. The science curriculum includes a separate section (unit) titled ‘Science and My Career’ while the Korean language curriculum includes specific career-linked education methods guided by consideration of achievement standards. However, the English, Art, and Music curriculum briefly deals with career linkage education only in the context of teaching and learning without reflecting it as an achievement standard. Mathematics, social studies, and physical education curricula barely reflect career linkage education. Third, reflecting the career linkage education contents in each elementary school subject primarily emphasized strengthening career exploration and career education. Fourth, the content of the career linkage education regarding connections between school levels was specified to be implemented in the autonomous activity section of the creative experiential activities curriculum. These findings highlight the need for a greater emphasis on career education within the concept of career linkage education in future revisions. Moreover, the findings underscore the need for developing effective career linkage education class materials that can be used in schools. Therefore, the study recommends improving career linkage education and follow-up research.
An Analysis of Research Trends about Elementary STEAM in Korea: Focusing on Master's and Doctoral Dissertations

This study analyzes the research trends in master’s and doctoral dissertations on elementary STEAM (Science, Technology, Engineering, Arts, and Mathematics) published between 2012, when STEAM gained prominence, and 2022. To that end, four research contents were identified. A total of 190 theses were selected for final analysis after searching the “elementary STEAM” keyword in the Korea Education &amp; Research Information Service database. The analysis criteria included thesis characteristics (publishing year, publishing university, and intended degree), research purposes and subjects, and research objects and methods. Research methods involved frequency analysis and cross-tabulation analysis by reviewing the relevant literature and utilizing Excel. The specific conclusions drawn from this study are as follows.&#x0D; First, regarding publishing years, 29 theses were published in 2013, 28 in 2017, and 26 each in 2014 and 2015. Regarding publishing universities, the Gyeongin National University of Education took the lead with 47 theses, followed by the Seoul National University of Education (27) and the Busan National University of Education (18). In terms of degrees intended for publication, master’s degrees comprised the majority of publications with 177 theses, while only 13 were doctoral degrees. Second, regarding research purposes, 86 theses were published on influence and effect, 35 on development, 34 on development and application, and 18 on analysis. Concerning subjects, 79 theses focused on science, followed by 38 on STEAM, 29 on arts and sports, 15 on practical studies, and 12 on mathematics. Third, regarding research objects, 145 theses focused on students, 26 on works of literature, and 19 on teachers. In terms of methods, 139 theses employed quantitative research, 32 were literature reviews, and 12 were qualitative research. Based on these findings, future studies should consider subdividing the analysis criteria in terms of research purposes, subjects, and methods.
A Study on the Design of Liberal Arts Mathematics Subjects Appropriate to the Changing Educational Environment in the Post-Corona Era

This study aims to review the learning goals, learning contents, and teaching and learning methods of pure liberal arts mathematics courses being opened in line with the reorganization of the liberal arts curriculum applied by N University in 2023, and to design subjects by reflecting the demands of the times and the propensity of learners that have changed in the post-COVID era. In order to design the subject's class content, a consumer perception survey on mathematics subjects and a level of understanding of elementary and secondary curriculum achievement standards were conducted and analyzed, and the results of basic academic evaluation were considered. In order to induce learner-centered participatory learning, learners themselves chose to complete learning by finding, learning, and checking mathematical concepts in works such as art, literature, and movies through specific learning activities (drawing, writing, making games, etc.). In this study, it was confirmed that learner activity-oriented classes are suitable for reducing fear of mathematics, inducing active participation in class, and increasing interest and interest in learning in mathematics subjects.
The Role of the Reading Terrace in Increasing Village Children's Reading Interest

Books and libraries play an essential role in the democratization of information, even in the dissemination of knowledge, especially for today's children and youth who are more familiar with mobile phones than reading books. This paper aimed to investigate the role of the reading terrace in increasing village children’s reading interest. This study used a qualitative descriptive approach using the participatory action research method to determine the role of reading terraces in increasing children's interest in Balingka Village. This research data collection technique used observation, interviews, and documentation. Data analysis techniques used the Miles and Huberman models in this study. The results of this study show that the availability of terrace facilities can influence the reading interest of Balingka children to be more effective and optimal for carrying out activities related to sustainable reading.
Exploring the Effects of Attraction and Repulsion Parameters on the Bacterial Foraging Algorithm through Benchmark Functions

Metaheuristics are essential when working with complex problems from different fields. However, a suitable tuning scheme for these parameters is necessary to facilitate the search for potential solutions. This tuning is a challenging task. This work aims to develop a tuning method for the BFOA algorithm regarding attraction and repulsion values. In some cases, the parameter values are taken from previous works, while in other cases, the parametrization scheme comes from an automated or dynamic process. This work explores the Bacterial Foraging Algorithm (BFOA) within its parameters related to attraction and repulsion among bacteria, using 18 well-known benchmark functions from the literature. For this purpose, multiple BFOA executions were made, and averages were calculated for each test with repetitions for 24k BFOA executions. The interest variables for contrasting performance were the number of evaluated functions (NFE), the required time for the execution (time), and the associated cost to the achieved solution by BFOA (cost). Results: BFOA produced a different performance corresponding to each benchmark function. From this, four tuning schemes are proposed and validated by repetition, also contrasted by t-test. The conclusions show that the BFOA algorithm is susceptible to tuning, and the attraction and repulsion parameters must be according to the optimization problem. In terms of execution time, scheme III showed remarkable results. Regarding the obtained solution cost, scheme II outperformed the other three schemes.
Strategi Guru Mengatasi Kesulitan Belajar Siswa Terindikasi Disleksia

This research has a background where students experience reading difficulties in class III. This research aims to This research is based on the problems of students who experience reading difficulties in class III. This research aims to determine teachers' strategies for dealing with students' learning difficulties as indicated by descriptive research. Data collection uses observation, interview and documentation techniques. There are two sources of data in this research, namely primary and secondary. Primary data sources are three students and one homeroom teacher. Secondary data sources are interview transcripts and photographs. The data analysis techniques used are data collection, data reduction, data presentation and drawing conclusions. The results of this research show the class teacher's strategy in dealing with students' difficulties in learning to read by providing additional hours for students who cannot read by using an individual approach. In this way the teacher can interact directly with students who have difficulty reading, in this case the teacher always pays attention to the students. one student with another in the hope that the strategy used is successful or not. It can be concluded that teachers must prepare more interesting strategies so that students are interested in learning in the classroom and outside the classroom. Teachers must have the competence to recognize, understand the characteristics and needs of students.
Digital Literacy Teaching Modules in Early Childhood Education Units in Jember Region

This study was done to aid PAUD or Early Childhood Education units in the Jember region and determine the efficacy of deploying digital literacy teaching modules. The effectiveness and effects of using digital literacy in PAUD learning modules are the main subjects of this study. The PAUD guardians of students as well as the teaching personnel are the respondents to this study. This study employed a qualitative methodology to present data through observation, interviews, and documentation in order to evaluate the teaching of digital literacy modules to PAUD teaching staff. The usefulness and advantages of digital literacy teaching modules in PAUD education are examined from the perspectives and experiences of instructors, parents, and students in this study. Insight into how these teaching modules were put into practice with help from Early Childhood Education units in the Jember region was gained from the research results on the contribution of digital literacy teaching modules to early childhood education. In addition, it assists stakeholders in developing efficient plans for incorporating digital literacy teaching modules into the PAUD curriculum, including educators, policy-making organizations, and stakeholders.
Leveraging A Multi-Criteria Decision-Making Approach with AHP &amp; TOPSIS Method for the Selection of IoT-Based Inverter Smart Grid System and Smart Meter in Solar Photovoltaic and Wind Turbine Installations at Pelabuhan Ratu CFPP.

The effective selection of inverters plays a critical role in optimising the efficiency and performance of solar photovoltaic (PV) and wind turbine systems. Inverters have a direct impact on overall energy conversion efficiency and system output by influencing their efficiency and reliability. Inverter selection also involves essential criteria such as cost, compatibility with renewable energy sources, and environmental considerations. Therefore, a comprehensive and systematic approach is necessary to thoroughly assess and compare various inverter options.&#x0D; This study utilises a multi-criteria decision-making methodology to address these challenges. It assesses the identified criteria using the Analytical Hierarchy Process (AHP) and ranks them to determine the most suitable solution through the Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS). As a result, the investigation identifies smart grid and smart metre inverters as the optimal solutions, effectively addressing concerns related to power stability, communication and connectivity, security, data management, and cost.&#x0D; The proposed methodology yields a substantial total equity portion of USD 9,325.71, along with impressive annual earnings before interest, taxes, depreciation, and amortisation (EBITDA) of USD 1,734.09. The estimated payback period is 6.85 years, and the return on investment (ROI) reaches a remarkable 338.07%. Additionally, the nett income significantly reduces the production cost, amounting to USD 40,853.34 in a single period.
Development of Inquiry-Based Solar System Augmented Reality Science Learning Media

Science learning in the 21st Century needs to adapt to technological developments in the Era of Revolution 4.0. 21st Century science learning uses digital technology, namely Augmented Reality combined with an inquiry learning model on the Solar System material. The research aims to determine the feasibility of the Inquiry-based Solar System Augmented Reality (SSAR) Learning Media being developed. Inquiry-based SSAR Learning Media Research is development research that uses the ADDIE Development Model with assessment by 8 validators using a 1-5 Likert scale. Inquiry-based SSAR learning media which was developed through the Analysis, Design and Development stages. The Analysis stage is carried out through an initial preliminary study to determine needs analysis. The results of the needs analysis are used in the design stage and then realized in the Development stage. The Media Development stage carried out a feasibility test through validation by 8 experts. The feasibility of SSAR Learning Media is reviewed including Media, Material, Learning and linguistic aspects. The results of the assessment by the Validator were analyzed using the Aiken formula with validation criteria &gt; 0.75. Inquiry-based SSAR Learning Media indicators based on Aiken Validation analysis obtained validation results with a score of 0.85 &gt; 0.75 indicating that Inquiry-based SSAR Learning Media is suitable for use in the science learning process on Solar System material
Curriculum implementation of cooperative learning models in pantun writing instruction

The Indonesian language instruction that has been applied by teachers in the classroom still relies on the practical application of conventional models, even though it is still ineffective and making students bored in the class. The purposes of this research are 1) to explain the use of cooperative learning model, especially Think-Pair-Share (henceforth TPS) in pantun (a type of old poetry) writing instruction in seventh grade to effectively improve students' abilities in writing pantun, 2) to describe the learning process of pantun writing by using TPS, and 3) to find out whether there are differences in students’ pantun writing skills before and after the use of TPS.This study used a quasi-experimental research method. Samples were taken using purposive sampling technique. The data were collected using test questions and observation sheets. Based on the results, it can be concluded that tcount&amp;gt;ttable so that the application of TPS is effective in pantun writing instruction. In addition, in terms of the learning process, the use of TPS makes the students more active and the instruction more optimal than the conservative methods. Students also show improvements in writing pantun after the application of the TPS model.
Research Trend of Socio scientific Issues on Chemical Kinetic Materials: Literature Review

The success of an individual in the 21st century can be measured by their ability to utilise knowledge as a tool to enhance their personal qualities. This development can be initiated by enhancing fundamental scientific knowledge. The objective of this study is to examine the correlation between research advancements and socioscientific difficulties in the field of chemistry, with the purpose of aiding advanced researchers in identifying new cutting-edge research topics. This literature evaluation includes 20 articles that were selected based on specific inclusive criteria: 1) I have been journaling for the past five years (2018-2020). 2) The journal I write for is accredited by SINTA and Scopus. 3) Research opportunities in Indonesia 4) Keyword: Journal on socio-scientific issues and reaction rates. Discovering academic journals can be accomplished by utilising the search engine "Publish or Perish." The number 8. The SSI technique is predominantly used to assess science literature among secondary pupils. The content of socio-scientific issue shows minimum controversion of alcohol correlated to the reaction order concept. Delivering this issue will add knowledge and change the behavior of students in responding to the issue spread. The result of this study can be used as review of study, the measurement aspect still minimalizes done is awarness of environment as the result of the SSI approach.
The Problem of Criminal Liability for Generating Pornography Using Artiﬁcial Intelligence

The process of advancement of artificial intelligence (hereinafter: AI) seen in recent years results in breakthroughs in many areas of human life, such as medicine, agriculture, and science. However, despite its many advantages and benefits, it also inevitably creates room for abuse. This is particularly true of child pornography, where AI systems are increasingly being used to generate nude images of minors – both existing in reality and fictional. These cases, given much attention in the public debate, cause doubts as to whether existing normative solutions are suitable to combat this new phenomenon. The article aims to answer the question of whether the existing law makes it possible to successfully prosecute perpetrators who use AI systems to generate child pornography (including that depicting fictional charac-ters). In addition, it also offers an analysis of the criminal liability of the developers of the AI systems used in this process and of the hosting providers managing the websites used to distribute such pornographic content.
Drafting a Digital Transformation Strategy for Project Management Sector – Empirical Study on UAE

It is without a doubt that the impact of digital transformation and disruptive technologies has impacted all industries globally. There is hardly any sector that is left untouched by this form of innovation. This is also true for the power sector, which is the industry targeted for this study. The power sector is crucial for human existence, and hence, it is the use of different kinds of technology that must be employed at the helm of its operations. These different kinds of technology are related to AI, Robotics, IoT, and Big Data. The major intention behind these technologies should be to pace up different projects managed in the industry. Therefore, the company selected for this project is Dubai Electricity and Water Authority (DEWA). It is a company that is involved with various technological projects ranging from smart grids to digital meters to managing customer data. By interviewing thirteen key people from the company, the study highlights the current status of technology and how it is being employed by different power sector companies. In the end, it has been deduced that the future of the power industry relies on its adaption of green energy generation, and hence, all the efforts of the companies should be directed toward producing green energy with the help of modern technology. Also, it was found that the use of AI can enhance the efficiency of the projects, making them less risky. Therefore, the use of AI ensures that the projects are less prone to risks and have a higher chance of success.