Reviewerly/exHarmony huggingface dataset:
Exploring the possibility of 'classroom textbooks' in the future in elementary social studies - Based on the implications of Harold Rugg's social studies textbook -

This study was conducted for the purpose of exploring the possibility of 'classroom textbooks' by teachers to overcome the limitations of existing nationwide social studies textbooks in elementary social studies education. To this end, we theoretically reviewed the characteristics of classroom textbooks and examined the characteristics of Harold Rugg's elementary social studies textbooks. Based on this, we identified the limitations of existing nationwide textbooks and devised the principle of developing 'classroom textbooks' by teachers suitable for elementary social studies education based on the implications obtained through analysis of Harold Rugg's social studies textbooks. The principles are as follows. First, the selection of alternative educational content considering the curriculum standards, second, integrated topic-oriented approach, third, the composition of reading materials by storytelling and step-by-step questions aimed at student inquiry, and fourth, textbook production and post-supplementation considering the characteristics of classroom students. Based on this principle, the researcher developed a 'classroom textbook' by teachers for some of the contents of the fourth grade of elementary school and used it for class, and confirmed the response of students and fellow teachers to the 'classroom textbook.' The possibility of 'classroom textbooks' by teachers in elementary social studies is as follows. First, 'classroom textbooks' by teachers provide the possibility of realizing social studies classes suitable for classroom students. Second, 'classroom textbooks' by teachers provide the possibility as a useful tool to realize alternative elementary social studies education led by teachers and students.
The Effect of Adding the Heuristic Evaluation Method to the Usability Evaluation Method of Design Thinking in the UNSIL Vclass Application

Siliwangi University’s VClass Application (UNSIL), launched in 2021, grappled with substantial interface issues affecting the user experience. The developer encountered challenges that significantly impacted user interaction and satisfaction. This study aims to identify usability problems in the UNSIL VClass application using the heuristic evaluation method, inserted at the empathize stage of the design thinking method, to identify specific and in-depth problems based on heuristic principles that users sometimes overlook. Data was collected from 70 students who actively used this application through the System Usability Scale (SUS) questionnaire. The initial evaluation results obtained a value of 54 with a score of F with an acceptance range of “not acceptable. However, with the application of the heuristic evaluation method, a prototype was successfully developed, which showed a significant increase in three main aspects of usability: effectiveness, efficiency, and satisfaction. Time completion was reduced by 86%, the error rate decreased by more than 90%, and the completion rate reached 100%. Testing the satisfaction aspect on the prototype using SUS showed a value of 61 with a score of D, with “acceptable” acceptance. The insertion has helped enrich the usability evaluation process and identified problems that users might have missed. This revision also provides alternative solutions to increase the usability of the UNSIL VClass application.
Estimation of Higher Education Institution Expenditure by Cost-Function: Focus on 4-year Domestic Universities

The purpose of this study was to estimate the expenditure of universities by using cost function. For the research purpose, this study used indicators related to major education and research functions of 125 universities in Korea in the 2022 disclosure data of Academy Information System. The analysis results are as follows. First, the number of enrolled students had an effect on the expenditure of the university and that there was an economy of scale for the estimated cost according to the increase in the number of enrolled students. However, the economy of scope did not appear meaningful. In addition, the number of students per full-time faculty, the annual salary of full-time faculty, the rate of securing full-time faculty, and the education expenditure per student also showed significant influence. It can be seen that these results show differences in the influence depending on whether the interaction between variables is considered and the nature of the dependent variable. Second, the marginal cost per student of private universities in the metropolitan area were relatively high. Finally, there are some differences between actual and estimated expenditures in the institutions. The difference may exist depending on the characteristics of various universities. Based on the above research results, this study discussed policy and academic implications related to cost estimation for higher education institutions.
Analysis of professor characteristics and program support plan through teaching competency diagnosis: Focusing on F university

The purpose of this study is to diagnose the level of teaching competency and propose a teaching competency priority and teaching competency program by analyzing the difference in perception between the importance and implementation of the competency. For this purpose, data from 175 University F faculty members who participated in the survey were analyzed using paired-sample t-test, Borich needs assessment, and The Locus for Focus model. As a result of the study, first, significant differences in teaching competency were found by major, gender, rank, and number of participation in teaching methods programs. Second, for some competencies, significant differences were found between the importance and degree of implementation by employment experience and age. Third, as a result of comparing The Locus for Focus model analysis and Borich needs analysis, the teaching competencies that need to be developed as a top priority to strengthen teaching competency were motivational design competency, learning outcome evaluation and feedback competency, and lifelong learner competency. And, the next-highest priority competency was professional development regarding educational content and class time management competency. Based on the research results, a professor capacity building program considering characteristics such as professor experience was proposed. The significance of this study is that the programs proposed for each competency can be used as basic data for establishing and improving faculty support programs at other universities.
Implementation of Sentiment Analysis of Shopee E-Commerce Reviews using Naïve Bayes, N-Gram, and Information Gain

One of the important parts of e-commerce like Shopee reviews. The reviews are part of user trust in conducting business transactions, so it becomes a challenge for sellers to evaluate their products and services. Evaluation can be done by looking at star ratings, but the discrepancy between the content of the review text and the star rating causes the information received to be biased and evaluations carried out by classifying reviews manually require a longer time so sentiment analysis is needed to speed up the process of classifying by objectively dividing product quality into several categories such as positive, neutral, and negative. This study uses the Naïve Bayes method combined with N-Gram feature extraction and Information Gain feature selection to determine positive, neutral, and negative sentiments toward buyer reviews. In its testing, this study used confusion matric to obtain accuracy, precision, recall, and f1-Score results. The best results show an accuracy value of 92%, precision of 56%, recall of 65%, and f1-score of 60%.
A Political Analysis of the Yoon Government’s Higher Education Reform Policy Process

The purpose of this study was to analyze of the characteristics and issues of the current government’s higher education policy design and implementation process, and the contents of major higher education policies. As the results of it, first, the current government’s education reform design and implementation process tends to independently pursue Ministry of Education-led policies that the ruling power wants to do with less than 20% of the presidential election pledges, national tasks, to launch in the image of an unprepared government, and to implement the policies that lacks consistency and reliability in the presidential election process, since the beginning of the administration.&#x0D; Second, among the current government’s higher education policies, major contents and issues were discussed, focusing on deregulation policies for higher education, establishment of the Regional Innovation System &amp; Education (RISE), fostering Glocal universities, and special accounts for higher and lifelong education support.&#x0D; Currently, the main issues of higher education are to amplify confrontation and conflict with the education community, so the government needs to change its perception of designing and operating predictable and sympathetic higher education policies through transparent and democratic procedures in the future.
A Study on the Achievements and Tasks of the Politics of Education in the last 3 decades

This study aims to analyze the achievements of the politics of education(PE) during the last 30 years and discuss its tasks. For this, the author focuses on apolitical myth of education and the empirical data which evidence the quantitative growth of policy studies. And then, considering the tasks for broadening the qualitative aspects of PE, the author proposes research items according to their importance and timing. The results of this study are as follows.&#x0D; Firstly it is found that while education scholars almost overcome apolitical myth of education on behalf of PE, most educators are not yet freed from it. Secondly the author finds that there have been the quantitative growth of PE, which is based on consolidating the Korean Society for the Politics of Education(KSPE). Thirdly the author finds that the task for broadening the qualitative aspects of PE negatively comprises contributing to overcome conservative and government manufactured feature of education research. On the other hand, the task positively contains strengthening the critical functions of PE beyond policy legitimization. Fourthly the author proposes three imminent tasks; the summative evaluation of 5.31 education reform, the evidence-based research of local education autonomy, and academic society’s positive response to the class divide of education.
Development of A Trilingual E-Dictionary for Early Childhood; Indonesia-English-Lampung

The development of this trilingual e-dictionary (Indonesian-English-Lampung) is expected to help children learn multi-languages and make it easier for children to learn Indonesian, English, and Lampung language. This study aimed to develop a trilingual e-dictionary (Indonesia-English-Lampung) for early childhood students’ at TK Pertiwi Metro. The study used a Research and Development approach, where the data were collected through questionnaire and interview. Qualitative data were analyzed using interactive analysis and quantitative data analysis used percentages. The research participants consisted of 25 Kindergarten teachers at TK Pertiwi Metro and TK PKK 1 Yosodadi Metro. The results showed that learning media in the form of e-dictionary is very needed to introduce languages to early childhood. The contents of trilingual e-dictionary consists of three volumes. Volume one consists of five themes: numbers, colors, fruits, vegetables, and animals. Volume two consists of four themes: family, human body, transportation, and profession. Volume three consists of four themes: classroom, bedroom, nature, and time. The total vocabulary of the entire volume is 158 vocabularies. Furthermore, the teachers’ responses toward the trilingual e-dictionary (Indonesia-English-Lampung) showed that 0% expressed disagreed, 10% less agreed, 41% agreed, and 49% strongly agreed. The average score is 3,38 and, if converted on a table with a scale of 4, includes into a very good category. Therefore, a trilingual e-dictionary (Indonesia-English-Lampung) is declared suitable to be used as an interactive media in learning languages for early childhood.
The influence of parenting behaviors on parents' digital media guidance methods for parents with young children

The purpose of this study is to explore the relationship and influence of parenting behaviors on digital media guidance methods among parents of young children who are first exposed to digital media. The results of the study are as follows. the correlation analysis results between parenting behaviors of parents with young children and parents' digital media guidance methods showed a significant correlation in all sub-factors of digital media guidance methods, except for the supervisory aspect of controlling media guidance methods. However, in the case of the sub-factor rules of the controlling media guidance method, a negative correlation was shown with the sub-factor responsiveness of parenting behaviors. Second, when examining the influence of parents' parenting behaviors on digital media guidance methods, boundary setting, rational guidance, and affection in that order had a positive influence on controlling media guidance methods, while responsiveness had a negative influence. On affectionate media guidance methods, boundary setting, affection, and rational guidance in that order had a positive influence. Through this study, it was possible to know the correlation between parenting behaviors of parents with young children and digital media guidance methods. It was predicted that when parents show appropriate boundary setting, rational guidance, and affectionate parenting behaviors for young children, correct controlling and affectionate media guidance methods will be implemented.
A Study on the Level of Recognition and Use of Standards Among College Students

As global competition intensifies, the pace of technological innovation rapidly accelerates, and demand for new markets increases, standards are emerging as a key tool not only in the national economy and industry, but also in corporate management. Particularly, as the 4th Industrial Revolution, where convergence is a keyword, becomes a hot topic, the importance of standards is being further emphasized. Standards are work for companies, countries, and local communities based on the integrated results of science, technology, and experience. Since the end users of standards are general consumers, general consumers' awareness of the standards is important.&#x0D; Recognizing the importance of standards, the world's major advanced countries have been working to cultivate manpower to respond, and the government of the Republic of Korea also recognized the importance of the role of standards in the national economy and has been working to foster standards experts. Especially, it has been revealed that the university standardization course, which began in 2004 with the purpose of cultivating standard manpower required by the industry, has contributed greatly to improving college students' awareness of standards.&#x0D; Accordingly, in this study, Survey on students at a university in Seoul where standardization courses are being offered was done regarding their awareness of standards and their importance, and their level of standards knowledge. According to the analysis results, college students' awareness of standards and their importance, and the level of standards knowledge appear to be somewhat high. In particular, standard knowledge was shown to be very high with an average score of 8.7 points, and these results showed that the difference was significant depending on whether or not students took standards class. That is, it can be judged that the standards class had a positive effect on these results. However, compared to the awareness of standards and their importance and the level of standards knowledge, the degree of use of standards was found to be somewhat low. Therefore, it is necessary to add contents and activities for utilizing standards in future standards class.
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In the digital age, the European Commission has published the AILD(Artificial Intelligence Liability Directive). The Commission proposed to supplement and modernize the EU's non-contractual civil liability regime, introducing new special rules for damages caused by AI systems. The new regulation is intended to ensure that victims of AI systems receive the same level of protection as victims of other technologies in the EU. The AILD reduces the burden of proof of damage caused by AI systems by creating a 'presumption of causal relationship' that can be disproved. It also gives courts the power to order the release of evidence about high-risk AI systems that appear to have caused harm. And, the European Commission announced the revision of the PLD(Product Liability Directive). The revised PLD aims to transform the EUs product liability regime to suit the digital age. The amendment introduces new regulations addressing liability for products such as software and digital services containing AI systems. In addition, the victim's burden of proof is alleviated by the presumption of defects and causal relationships, and the disclosure of evidence by the courts. Meanwhile, Korean laws that apply to artificial intelligence include the Tort Act and the Product Liability Act, both of which do not yet have special regulations on AI. In this situation, the EU's AILD(Artificial Intelligence Liability Directive) and the revision to the PLD(Product Liability Directive) give us many implications.
An Improved Object Tracking Technique for Remote Weapon Station Using Yolov5_Deepsort_Dlib Architecture

This paper presents an improved DeepSORT_YOLOv5_Dlib architecture for object tracking. Study showed that [13] improved DeepSort_YOLOv3 architecture by inserting the correlation tracker of Digital Library to the traditional DeepSort_YOLOv3 in order to reduce the identity switches. In addition, the architecture was designed in parallel to boost the operating speed. Experimental results with different videos showed that the proposed architecture obtained a lower identity switches and higher operating speed compared to the conventional DeepSort_YOLOv3. The custom model in this study uses a confidence threshold of 0.2 and image size of 416 x 416, same as the size used for training. Slicing Aided Hyper Inference (SAHI) model was used to improve detection in YOLOv5. An overall inference speed of 314.8fps was achieved compared with Dang’s 218.6fps. A precision value of 0.98 and a recall of 0.81 was gotten from evaluation of the model on COCO dataset. The MOTA for the proposed custom model is 0.86 compared to the 0.83 of the benchmark while an identity switch of 1881 was achieved which is better than 2288 of the benchmark technique. The detection accuracy was improved on as a result of the use of SAHI inference with YOLOv5 which also improved the overall tracking accuracy from 56% to 79%. The proposed custom model is also able to detect more objects.
«Au Paradis Des Archétypes»: Follia e mondo primitivo nell’Art Psychopathologique di Robert Volmat

This paper is a research around an aspect of contemporary history of culture, regarding modern fascination for the primitive word and the search for the primitive through study of the artistic productions of the mentally ill. In my work this problem is analyzed by the point of view of the book of Robert Volmat L’art psychopathologique. L’art psyichopathologique is a remarkable example to observe the problem of primitivism in its connections with psychology, anthropology and philosophical research on artistic expression.
Curriculum learning for deep reinforcement learning in swarm robotic navigation task

This study investigates the training of a swarm consisting of five E-puck robots using Deep reinforcement learning with curriculum learning in a 3D environment. The primary objective is to decompose the navigation task into a curriculum comprising progressively more challenging stages based on curriculum complexity metrics. These metrics encompass swarm size, collision avoidance complexity, and distances between targets and robots. The performance evaluation of the swarm includes key metrics such as success rate, collision rate, training efficiency, and generalization capabilities. To assess their effectiveness, a comparative analysis is conducted between curriculum learning and the proximal policy optimization algorithm. The results demonstrate that curriculum learning outperforms traditional one, yielding higher success rates, improved collision avoidance, and enhanced training efficiency. The trained swarm also exhibits robust generalization for novel scenarios.
Metode Decision Tree Dalam Klasifikasi Kredit Pada Nasabah PT Bank Perkreditan Rakyat (Studi Kasus : PT BPR Lubuk Raya Mandiri)

Data mining is a new technology that has been successfully applied in many fields. Many problems are solved by data mining algorithms C4.5 as a supporter.Classification is one of the methods contained in data mining and not a few researchers who use the classification methods in solving problems. Credit analysis will be done with the digging data against existing data customer credits based on atribut-atributnya with tekanik data mining algorithm C4.5. The algorithm C4.5 is itself a group of decision tree algorithm. This algorithm has input in the form of training and samples. Data mining technique used to classify loans with algorithm C4.5. Analysis and processing of data use applied tools of RapidMiner v 7.3
Code Book for the Annotation of Diverse Cross-Document Coreference of Entities in News Articles

This paper presents a scheme for annotating coreference across news articles, extending beyond traditional identity relations by also considering near-identity and bridging relations. It includes a precise description of how to set up Inception, a respective annotation tool, how to annotate entities in news articles, connect them with diverse coreferential relations, and link them across documents to Wiki data’s global knowledge graph. This multi-layered annotation approach is discussed in the context of the problem of media bias. Our main contribution lies in providing a methodology for creating a diverse cross-document coreference corpus which can be applied to the analysis of media bias by word-choice and labelling