Reviewerly/exHarmony huggingface dataset:
Exploring Student Engagement Patterns in English Utilizing Learning Management System Platform: An Empirical Analysis

Student engagement is a crucial component of learning, particularly when using Learning Management Systems (LMS) in educational institutions. The adoption of LMS is on the rise, and Senior High School in Demak is no exception, as it has implemented an LMS to facilitate technology-based learning. This study aims to investigate student engagement in the Learning Management System, specifically in English classes. The purpose of this study is to examine student engagement in the Learning Management System, with a focus on tenth-grade students who are adjusting to their new academic environment. The study's objective is to explore the extent to which students are engaged when using the LMS. This research employs a descriptive qualitative method with theoretical analysis derived from Fredricks et al. (2004), which categorizes engagement into behavioral, emotional, and cognitive domains. The study focuses on a sample of 36 students from the third social class. This descriptive qualitative research employed three instruments for collecting the data. Those are observation, questionnaire, and interview. The findings reveal that students exhibit a range of engagement levels when using the LMS, with most students showing positive engagement. However, there are areas where engagement could be improved. Additionally, the LMS provides students with several benefits that aid their daily learning. This research enriches our understanding of student engagement when using LMS, specifically in English classes. The study's results demonstrate that while most students exhibit positive engagement, there is room for improvement. Overall, this study highlights the importance of student engagement in LMS and suggests ways to enhance it.
Gamified VS Non-gamified Speaking Assessment for EFL in Higher Education

Students of the eighth basic level must have an A1 level. After developing their speaking skills, a speaking assessment needs to be given to students in the class to know how good their speaking skills are. This research aimed to compare the gamified and non-gamified speaking assessments to the speaking scores of students. This research used an experimental design with a quantitative approach. The participants of this research were the students of STKIP PGRI Trenggalek English Language Learning Students chosen by purposive sampling technique. The instrument of this research used pre and post-test to determine the increase and difference between the two groups. The data collected were analyzed using SPSS software. The results showed that when the students’ speaking skill was assessed utilizing gamified speaking assessment, it was easier for students to increase their score. This research result could provide a contribution to the basic literature on utilizing gamified speaking assessments to motivate students. Thus, they can enhance their speaking skill, leading to an increased speaking score.
THE SCRAPBOOK FOR THE STUDENTS' WRITING ABILITY AT JUNIOR HIGH SCHOOL (A CASE STUDY AT JUNIOR HIGH SCHOOL)

Writing involves textual tasks like formulating and structuring ideas into sentences, encompassing idea creation, organization, drafting, and revision. In this context, the utilization of scrapbooks as a teaching aid for writing has yielded positive results, introducing a novel method for writing instruction. This practice not only improves students' recount text abilities but also highlights the versatility of scrapbooks in catering to multiple skills, as revealed by the interview results—spanning both writing and speaking instruction. Embracing scrapbooks in education holds the potential to foster holistic language development and effective communication skills, thereby enriching the learning experience across various linguistic domains. In this research, the researcher used qualitative with case studied approach.
PHILOSOPHY AND TEACHING METHODS OF CHINESE CHARACTER LITERACY EDUCATION BASED ON THE APPLICATION CONCEPT OF PALEOGRAPHY

The reform and practice of the Chinese character literacy teaching method based on the concept of paleography application can be employed to a certain extent and thus will improve the quality of Chinese character literacy teaching. This paper discusses the necessity and feasibility of applying ancient characters to Chinese character literacy teaching, discusses the epistemological and methodological issues of Chinese character literacy teaching, and expounds five teaching methods for the application of ancient characters to Chinese character literacy teaching, including didactic teaching method, case teaching method, theme-based teaching method, situational teaching method, and comprehensive teaching method. Different teaching methods are the deconstruction of Chinese character teaching goals, highlighting teaching objectives and priorities from different levels. They are not isolated and separated from each other, and teachers can actively choose and use teaching methods under the guidance of teaching objectives at different stages.
Evidence-based practices in teaching

This article presents the results of the implementation of the Erasmus Plus project (KA203 financed by the European Union, contract number 2019-1-NL01-KA203-060339) Research in Teacher Education (RiTE). The aim of the project was to promote and facilitate pre-service teachers to create and undertake evidence-based practices in teaching science, technology, engineering, and mathematics (STEM). In the RiTE project, pre-service teachers were encouraged to use evidence from educational and scientific research and to experiment and introduce didactic innovations in teaching and learning processes. Although it has its justification in the tradition of thinking about science, evidence-based practice is not yet consciously applied in school practice. In the article, we present both the theoretical framework for such practices, and the results of qualitative research – an analysis of interviews conducted with students, future teachers, and novice teachers involved in the project. The presented results show changes in the context of an understanding of evidence and what evidence-based practices are in the teaching process and the vision of such teaching presented by the respondents.
Prediksi Penawaran Mata Kuliah Studi Kasus Prodi Informatika Universitas Kristen Duta Wacana

For taking a course, students are required to make a schedule so that the courses to be taken can be according to their choice. There are several obstacles when taking courses, for example when the number of students taking a course is more than the capacity estimated by the campus, so that the classes that are opened are not sufficient. Therefore, a prediction system is needed that can display how many classes are recommended to be opened and the number of students who are likely to take those classes.&#x0D; In the process of making the prediction system, the first thing to do is to determine what features will be used. These features are then applied to all courses and see what combinations occur. Next is to create an algorithm based on these features in the PHP programming language. Prior to that, data from any table in the database was determined beforehand to be processed so that the system could run properly and accurately. The next step is to make input available to users who can determine the minimum number of repeat students, class capacity, lab capacity, and predicted semester.&#x0D; The results of the research conducted and the system created allow it to predict courses based on the features that have been entered. The data used in the database is also the most recent, so the amount issued to the prediction system is an accurate amount. This system can be said to be successful because it can display recommended courses along with the number of students who are repeating and students who have not taken those courses.
Exploring the Flexibility and Accuracy of Sentiment Scoring Models through a Hybrid KNN-RNN-CNN Algorithm and ChatGPT

This study aimed to address the limitations of sentiment analysis by developing a more accurate and flexible sentiment scoring model using ChatGPT in combination with KNN, RNN, and CNN algorithms. To achieve this, primary data from ChatGPT and secondary data from Kaggle were utilized for training. The model's performance was evaluated, yielding an impressive accuracy rate of 88.17%. This research underscores ChatGPT's pivotal role in offering theoretical insights and precise data for diverse applications. The novelty of this study lies in its innovative approach of combining KNN, RNN, and CNN algorithms to create a more adaptable and accurate sentiment scoring model. Additionally, the primary data from ChatGPT greatly enhances the creation of precise and relevant training data across various topics and languages. Despite these achievements, there remains a need for further exploration of testing methods to mitigate the impact of data limitations on result generalizability. Moreover, it is acknowledged that the model's effectiveness may be diminished when applied to languages other than English. Nevertheless, this research provides a promising avenue for users seeking enhanced and precise sentiment analysis by integrating KNN, RNN, and CNN algorithms with ChatGPT. The findings of this study can serve as a solid foundation for future research endeavors in the advancement of sophisticated and effective sentiment analysis technologies. Doi: 10.28991/HIJ-2023-04-02-06 Full Text: PDF
Implementation of Certainty Factor Method for Identification of Pest Types on Dendrobium Based on Expert Systems

Orchid is an ornamental plant that has high aesthetic value with a variety of attractive colors on its flowers and has high economic value. One of the problems in the cultivation of orchids is the problem of pests that can inhibit growth and reduce the aesthetics of orchid plants. Not only that, the shortage of orchid plant experts can be a trigger for delays in identifying the types of pests on orchids, resulting in poor growth quality and even crop failure. Early identification is needed so that handling is fast so that the quality of growth is good. The solution offered by this research is the implementation of the certainty factor method for identifying web-based types of pests on dendrobium orchids. The stages of this research consist of knowledge acquisition, knowledge modeling, implementation, and accuracy testing. Based on the test results of 32 data, the certainty factor method can identify exactly 29 data and the rest are identified incorrectly, resulting in an accuracy of 90.6%. Thus, the certainty factor method can be used to identify the type of pest on orchids because it has very good accuracy.
A case study of English writing error analysis for non-English majors in China

The Syllabus of Chinese College English Teaching emphasizes the cultivation of students&#39; comprehensive language use ability, but students still have big problems in actual writing. Based on the theory of English-Chinese comparison, this paper collects several English compositions of non-English-speaking students, summarizes and analyzes the main types of errors they make in English writing, and discusses the main reasons for the errors as well as the implications for foreign language teaching.
Automated quality testing of medical web applications in the cloud environment

In the modern world, the problem of increasing the number of cardiovascular diseases among the population of different age groups is particularly acute. Therefore, monitoring the health of the cardiovascular system of patients is extremely important in our country. Existing cardiology web applications, thanks to daily monitoring, enable doctors to monitor the condition of the patient’s heart and prevent the development of severe complications with a decrease in deaths. If the portable EKG device read the data correctly, but the application drew a cardiogram, then a healthy person may detect myocardial ischemia or arrhythmia, and a patient may not notice the signs of a myocardial infarction at the right time. Testing is one of the most important and key stages of software product development, especially if the application refers to the medical field of application and is related to human health. Therefore, the automation of this process is an urgent task today, because during manual testing, the engineer performs all the test cases manually and a lot of time is spent to prepare the data set and the scenario and run the correct inputs or actions to test the described scenario. The main advantages of automated testing, as well as cases when its use is indispensable, are considered. The life cycle of software product testing is also considered. Software testing is conducted to identify defects and improve the quality of the product and is a process of analyzing the software and the accompanying documentation that accompanies it. The purpose of the work is the implementation of automated testing of cardiology web applications in the cloud environment. Implemented automated testing should be cross-browser and generate a test report to summarize test activities and results. During the implementation of automated testing, test artifacts such as the test plan and test cases must be documented.
FORMATION OF PRACTICAL COMPETENCIES IN THE TRAINING OF SPECIALISTS IN INTERNATIONAL ECONOMICS

Innovative educational technologies: European experience and its application in training in economics and management : Proceedings of scientific and pedagogical internship (February 13 – March 26, 2023, Riga, Latvia). Riga, Latvia : “Baltija Publishing”, 2023.
THE CONCEPT OF ONLINE DISTANCE LEARNING «ANYWHERE AND ANYTIME» AND THE PECULIARITIES OF ITS IMPLEMENTATION IN THE TRAINING OF BACHELORS AND MASTERS IN ECONOMIC

Innovative educational technologies: European experience and its application in training in economics and management : Proceedings of scientific and pedagogical internship (February 13 – March 26, 2023, Riga, Latvia). Riga, Latvia : “Baltija Publishing”, 2023.
DUAL EDUCATION IN THE TRAINING OF SPECIALISTS IN THE MAJOR 076 «ENTREPRENEURSHIP AND TRADE»

Innovative educational technologies: European experience and its application in training in economics and management : Proceedings of scientific and pedagogical internship (February 13 – March 26, 2023, Riga, Latvia). Riga, Latvia : “Baltija Publishing”, 2023.
INNOVATION IN RETAIL: RATIONAL AND SOCIO-ETHICAL CONSIDERATIONS

Innovative educational technologies: European experience and its application in training in economics and management : Proceedings of scientific and pedagogical internship (February 13 – March 26, 2023, Riga, Latvia). Riga, Latvia : “Baltija Publishing”, 2023.
THE IMPORTANCE OF INNOVATIVE TECHNOLOGIES IN THE TRAINING OF SPECIALISTS IN ENTREPRENEURSHIP, TRADE AND STOCK EXCHANGE

Innovative educational technologies: European experience and its application in training in economics and management : Proceedings of scientific and pedagogical internship (February 13 – March 26, 2023, Riga, Latvia). Riga, Latvia : “Baltija Publishing”, 2023.
USE OF INTERACTIVE TEACHING METHODS IN EDUCATION

Innovative educational technologies: European experience and its application in training in economics and management : Proceedings of scientific and pedagogical internship (February 13 – March 26, 2023, Riga, Latvia). Riga, Latvia : “Baltija Publishing”, 2023.
Integrating Computational Thinking With the Curriculum of Future Professional Musicians

The purpose of this study is to look at how a music programming course affects the development of computational thinking in undergraduate music conservatory students. In addition to teaching the fundamentals of computational thinking, music programming, and logic, the course addresses the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Four C’s</i> of education. The change in students’ attitudes toward computer and algorithmic skills, creativity, communication, and collaboration is measured using a pre-and post-test experimental design. Additionally, computational thinking abilities are assessed through the administration of music analysis, procedural, graphical, and logic quizzes, while creativity is evaluated through a qualitative grading of the students’ final music projects. Results show a general perceived improvement of the students’ attitudes toward the Four C’s as well as a good ability to convert learned computational models into musical creativity. However, more effort is needed in order to guarantee an overall improvement in the students’ actual computational thinking abilities.
Merge Loss Calculation Method for Highly Imbalanced Data Multiclass Classification

In real classification scenarios, the number distribution of modeling samples is usually out of proportion. Most of the existing classification methods still face challenges in comprehensive model performance for imbalanced data. In this article, a novel theoretical framework is proposed that establishes a proportion coefficient independent of the number distribution of modeling samples and a general merge loss calculation method independent of class distribution. The loss calculation method of the imbalanced problem focuses on both the global and batch sample levels. Specifically, the loss function calculation introduces the true-positive rate (TPR) and the false-positive rate (FPR) to ensure the independence and balance of loss calculation for each class. Based on this, global and local loss weight coefficients are generated from the entire dataset and batch dataset for the multiclass classification problem, and a merge weight loss function is calculated after unifying the weight coefficient scale. Furthermore, the designed loss function is applied to different neural network models and datasets. The method shows better performance on imbalanced datasets than state-of-the-art methods.
DRIFT spectroscopy and permutation importance algorithm in quantitative analysis of organic matter in soil model systems

In order to obtain useful MIR spectrochemical data of soil organic matter for the development of remote sensing methods, synthetically prepared soils with artificial precisely defined organic matter fractions, DRIFT spectroscopy and permutation importance algorithm were used in this paper. In terms of imitation of soil organic matter, sample model systems were prepared with precisely defined added values of added organic components. After MSC and SNV spectral treatments using PCA and LDA techniques and DRIFT spectra, the soil was classified according to the percentage of organic matter. Using the KDE+permutation importance algorithm, three significant MIR spectral regions were obtained for percentage grouping: 600-1000cm-1(skeletal vibrations of organic matter); 1750-2250cm-1 (Total reflectance+quartz overtones) and 3250-3950cm-1 (Hydroxyl groups). In terms of the potential for quantitative analysis, the calculated wavelength ranges match well with the classical spectrochemical theoretical basis of analytical methodologies. Also, extracted useful spectrochemical data can be potentially used in the development of new remote-satellite detection methods (ASTER satellite in SWIR and MIR range).
Logic-Based Explanations for Linear Support Vector Classifiers with Reject Option

Support Vector Classifier (SVC) is a well-known Machine Learning (ML) model for linear classification problems. It can be used in conjunction with a reject option strategy to reject instances that are hard to correctly classify and delegate them to a specialist. This further increases the confidence of the model. Given this, obtaining an explanation of the cause of rejection is important to not blindly trust the obtained results. While most of the related work has developed means to give such explanations for machine learning models, to the best of our knowledge none have done so for when reject option is present. We propose a logic-based approach with formal guarantees on the correctness and minimality of explanations for linear SVCs with reject option. We evaluate our approach by comparing it to Anchors, which is a heuristic algorithm for generating explanations. Obtained results show that our proposed method gives shorter explanations with reduced time cost. Furthermore, although our approach is demonstrated with linear SVCs, it can be easily adapted to other classifiers with reject option, such as neural networks and random forests.
MODERN CHALLENGES IN GLOBAL SUPPLY CHAIN MANAGEMENT AND TOOLS TO IMPROVE THE EFFICIENCY OF TRAINING IN THIS AREA

Innovative educational technologies: European experience and its application in training in economics and management : Proceedings of scientific and pedagogical internship (February 13 – March 26, 2023, Riga, Latvia). Riga, Latvia : “Baltija Publishing”, 2023.
INNOVATIVE APPROACHES IN THE PROCESS OF TRAINING MANAGERS: THE DEMAND OF TIME

Innovative educational technologies: European experience and its application in training in economics and management : Proceedings of scientific and pedagogical internship (February 13 – March 26, 2023, Riga, Latvia). Riga, Latvia : “Baltija Publishing”, 2023.
THE ROLE OF THE STRUCTURAL AND LOGICAL SCHEME IN TEACHING ECONOMIC DISCIPLINES

Innovative educational technologies: European experience and its application in training in economics and management : Proceedings of scientific and pedagogical internship (February 13 – March 26, 2023, Riga, Latvia). Riga, Latvia : “Baltija Publishing”, 2023.
Improving the Teaching of Arabic Language Through Effective Use of YouTube Video As Audio-Visual Aids

This study examines ways of improving the teaching and learning of Arabic language through the application of YouTube video clips as audio-visual aids. This becomes imperative as Arabic is not just a language of religion used by Muslims world over in their religious activities, but as a language spoken by millions of people in the world. It is the official language of the South West Asian and most of the North African countries. It is the 5th in the World’s 10 most influential languages and one of the official languages of many international organizations. The study was carried out by selecting 18 students of Arabic language in Kaduna State College of Education, Gidan –Waya and Kwara State University, Malete to constitute sample of the study. Descriptive method was adopted and Pre-test and Post – test was conducted. Data were collected through the essay writing, translation and structure test. The data were analyzed through the descriptive statistics of frequency (f) and percentage (%). The findings, based on the result of the tests, revealed that the subjects performed better and they were able to demonstrate higher linguistic communicative competence in Arabic language. Finally, the study recommends that YouTube videos should be integrated into Arabic instruction delivery strategies.
A LITTLE ABOUT MODELS OF DECENTRALIZED SYSTEMS

Incorrect formalization of original systems when creating a mathematical model can lead to useless multi-cost work and, moreover, to false conclusions. These models can not be improved by using more general properties or more complicated tools. In this article, we discuss ways of creation of adequate models for decentralized type complex systems containing various active elements with their own interests an sets of actions. We specify some basic properties of systems that correspond to certain classes of mathematical models. This approach can serve as a basis for preliminary selection of suitable models for real systems