Reviewerly/exHarmony huggingface dataset:
MEASURING LEGAL COMPETENCE OF HIGHER EDUCATION STUDENTS IN THE SPECIALTY "SOCIAL WORK"

The set of criteria, indicators, and levels of development of legal competence in students of the "Social Work" specialty, which is presented in the article, is a necessary condition and starting stage when organizing the process of measuring this component of general professional competence. To implement measurement and reflection on this basis of the development state of students' legal competence, the following assessment criteria were selected: value-motivational and cognitive-reflective. Each of them contains important content and technological aspects of legal competence development in future specialists. For the practical implementation of measurement tools, we defined such indicators as: students' legal awareness, their motivation to carry out professional and legal activities, their ability to reflect on the level of awareness in the legal field; these indicators are also related to the conditions for the implementation of effective human rights protection activities. The development degree of each indicator characterizes the level of legal competence formation (beginner, average, sufficient, high), the definition of which is an important component of the diagnostic stage of scientific research. According to the results of the measurement conducted with students of the "Social Work" specialization, we observed a predominant manifestation of high and sufficient development levels of legal competence in students. This is evidenced by their persistent interest and focus on work in the field of social and legal protection, interest in performing complex tasks in legal and professional activities, readiness for timely and competent resolution of social and legal issues, ability to consciously predict their actions, perform self-analysis and self-evaluation. In addition, the conducted measurement revealed a number of factors that need further study and detailing of their impact on the development of legal competence in higher education students: ­ the personal significance of emotional assessment of a professional or real life situation as opposed to a justified and legal assessment; ­ determinism of the phenomena of "we-responsibility" and "I-responsibility"; ­ multidisciplinary discourse on the development of the educational process of higher education, aimed at building the legal culture of students; ­ the role of soft skills as factors of continuous professional and personal growth of social work graduates.
MASTERING HEALTH-PRESERVING TECHNOLOGIES BY HIGHER EDUCATION

The study of the discipline provides for the formation of students' competencies: readiness for physical and mental self-development; the ability to independently analyze the state of health; the ability to make responsible decisions; the ability to make informed choices for a healthy lifestyle; the ability to act in the environment while maintaining own health; the ability to independently make decisions and be responsible for their results. The article discusses the theoretical foundations of somatic, mental, reproductive and spiritual health. Quantitative assessment of an individual's health has been determined; the methodology and methods of formation and preservation of health are considered. The article also presents the basics of healthy lifestyle and the formation of students' motivation for a healthy lifestyle. The research provides examples of practical exercises. The students investigated the risk of myocardial infarction in five people of different ages by nine parameters: age, gender, genetic predisposition, attitude to stress, blood pressure, dietary habits, physical activity, and body weight. Each of the parameters was assessed subjectively. The student had to analyze the results obtained and substantiate a program for the prevention of myocardial infarction. Also, students were asked to rank the priorities of family life. The students were particularly interested in the discussion on the topic: "Love is…"
DIGITAL CRIMINALISATION AND MIGRANT SMUGGLING

The present article focuses on deep diving into the following four main aspects:1.Crime forms evolution versus societal developments; 2. Distinctions between cybercriminals and criminals and associations related to digitalisation of crime;3. Software applications and tools enabling or; ganized crime group members to commit various crimes, including migrant smuggling; 4. Impact of technology on crime and possible developments.
MONITORING OF COGNITIVE DETERMINANTS OF PROFESSIONAL AND PERSONAL SELF-DETERMINATION OF PARTICIPANTS IN THE EDUCATIONAL PROCESS

The main cognitive determinants of modern youth are considered, which are leading, guiding against self-determination at the professional and personal level.The purpose of the work is to determine the main cognitive components of the professional self-determination of higher educational students on the example of Ukrainian Higher Educational Institutions (HEI) students, to identify the level and substantiate the need to control it through monitoring.The main conditions in the context of the socio-cultural functioning of the participants in the educational process are highlighted, which are defining against trends in levels of a particular cognitive determinant.Recommendations for improving the pedagogical conditions for the prevalence of such components of selfdetermination as family values and a multifaceted personality are provided, which allow improving the activity of participants in the educational process, increasing the effectiveness and efficiency of professional and personal self-determination.It is noted that for the majority of respondents, the dominant values are: family, Журнал «Перспективи та інновації науки» (Серія «Педагогіка», Серія «Психологія», Серія «Медицина») № 13(18) 2022 26 close relationships, development (self-development, spiritual development), health, as well as money, material or financial well-being.More than half of the respondents pointed out the peace of mind and freedom among the most important values.The respondents associate planning the future with these values.About a third of the respondents feel fear of the future coused by the uncertainty of the prospects for their future in Ukraine.It has been provena need to increase the number of hours for students' attachment at enterprises and organizations of Ukraine with possible future employment.This improvement of higher education will help to increase the motivation of future professionals, awareness in planning a specific future.
Classification of Learning Sentiments of College Students Based on Topic Discussion Texts of Online Learning Platforms

Depicting the online learning process of student users from multiple angles can help implement deep learning and effectively improve their online learning quality, and it’s a practical and very meaningful work to mine the data burying in the topic discussion texts of online learning platforms so that useful information could be extracted and attained to help teachers better understand students’ learning sentiments and assist students to know of the learning status of their peers. However, in existing conventional sentiment analysis methods, the sample data with uncategorized tags are still labelled manually, and such work is usually time consuming and inefficient. In view of these defects, this paper aims to study the classification of college students’ learning sentiments based on the topic discussion texts of online learning platforms. In the beginning, this paper gave the overall structure of the proposed college student Learning Sentiment Classification (LSC) algorithm, and discussed the similarity between the topic discussion content and the teaching content. Then, this paper proposed to integrate Convolution Neural Network (CNN) with the Long-Short Term Memory (LSTM) network to build the said LSC model, so as to merge the advantages of the two and improve the accuracy of learning sentiment rating. After that, embedding layers of static words and non-static words were introduced into the proposed model for the purpose of realizing the mining of specific textual information while enhancing the semantic expression ability of the words. At last, experimental results verified the effectiveness of the proposed model.
Motion Representation of Images in Dunhuang Flying Apsaras Murals

Dunhuang Murals are historical treasures of China.Among all figures of Dunhuang Murals, Flying Apsaras which shows the dancing, gentle and stretching images of flying freely in the sky is the most representative.The images of Flying Apsaras in Dunhuang Murals are very rich and are often extracted by researchers from Dunhuang Mogao Grottoes and Yulin Grottoes.However, because of the changeable images and the flexible and elegant postures, Flying Apsaras is always a bottleneck in the field of animation.In this study, the image of Double Flying Apsaras in the 305th grotto of Mogao Grottoes was analyzed and motion displayed through preliminary graph extraction and using the package Duik on AE, which thereby integrated murals and animation.
Propaedeutics of programming: how to prepare students for the perception of object-oriented programming

The article describes the methodological foundations for preparing for programming in basic school and, in particular, for the perception of object-oriented programming in the future. This methodics can be implemented in the course of extracurricular activities or use its fragments for implementation in the lesson. Programming is one of the most important sections in the basic school informatics course. This is an interesting and at the same time quite difficult section for initial learning. Given that the basic informatics course starts in the seventh grade and is only one hour per week (advanced — two hours per week), programming is allocated only in the eighth grade and not so much. And you need to introduce pupils to a large number of concepts, teach them how to write programs, from linear programs to array processing. In this regard, it is proposed to use a propaedeutic course of extracurricular activity for students of the sixth-seventh grades in order to familiarize them with the basics of structured programming using the example of working with performers, which allow them to realize familiarity with the structure of the program, syntactic requirements, basic algorithmic constructions through drawing and movement of graphic objects (according the teacher's choice — in algorithmic language, PascalABC, Python, C++). The methodological developments described in the article can be used for those performers who will not be in the lessons, or, conversely, to introduce students to writing programs in a language that will be studied further in the lessons, which will make it easier for them to perceive the material on programming in basic school and develop their abilities in this direction along an individual educational trajectory — both in the classroom and in extracurricular activities.
Explaining the effect of Organizational Justice on Job Satisfaction and Work Performance

The aim of this research is to investigate the effect of organizational justice on work performance and job satisfaction. The purpose of this study is to examine the nature, strength and significance of the links between organizational justice, job satisfaction and work performance .Previous researchers have conducted on Organization justice, job satisfaction and work performance as separate concepts, few of them have attempted to examine the links between them. To date, there is a lack of evidence regarding the nature, significance and strength of relationships between these three variables. The literature review shows that employees’ perceptions of fairness in all organizational processes and practices are assumed to influence their behavior and work outcomes. In order to achieve the aim of the research, the Quantitative method has been used through conducting questionnaires among employees. 400 employees were the participants, with the following results. First, the results showed that distributive justice, Procedural justice and Interactional justice are insignificantly affecting Job Satisfaction. Secondly, the results showed that distributive justice, Procedural justice and Interactional justice are insignificantly affecting work performance. These results suggest that managers should pay workers what they deserve , follow open and fair procedures , offer workers a voice , meet regularly , conduct employee surveys and keep an on-open door policy. Managers must work to distribute the functions, tasks and duties equally, fairs have fairness of outcome, in addition to developing appropriate rules and regulations in order to have fairness of decision making , lastly managers should care about their employees and build manager-employee communication. . Therefore, Employee performance and satisfaction are influenced by organizational fairness (fairness of distribution, fairness of method, and fairness of interaction). Employee’s demographic and career backgrounds are designed as moderators.
Interoperable Database for Citizen Science Observations of STEVE

How can we work with the STEVE event list v2.2?Since not all questions for which the list can be helpful are known, an approach as flexible as possible was chosen, which fulfills the FAIR data principle.The list is available in three variants addressing the different needs.A PDF file variant with hyperlinks to STEVE reports giving a quick overview.An EXCEL file variant that allows the definition of user-specific selection criteria using implemented selection tools.A text file variant that gives full access to the data thus allowing to apply user-defined software tools for data analysis making the data set fully interoperable.Variants of the STEVE event list v2.2 How is the FAIR data principle implemented?
A Smart Picture Book Design Using Augmented Reality Technology

The developments that’s currently being experienced today are passing very fast and growing exponentially, as well as education, teaching methods from the past cannot be applied into the new era. With utilizing developing technology, teaching methods can be developed to adjust to today’s needs. The purpose of this research is to design and develop educational and entertaining picture books to motivate and interest children in learning. This research uses the prototype or designing method with the implementation of Augmented Reality technology into the picture books, where the books will show animation which will draw interest in reading and learning to children. The expected result from this research is the increase of children's literacy interest in Indonesia and implementing the use of books with Augmented Reality in Indonesian education curriculum.
Eggplant Disease Detection Using Yolo Algorithm Telegram Notified

Eggplant (Solanum Melongena L) is a type of seasonal vegetable. Eggplants vary in shape and color from white to green to purple. Facts prove that eggplant plants face several threats to their survival and growth, including disease disturbances such as leaf beetles, fruit rot, mealybugs, etc. One way to treat and monitor eggplant plants is to install a camera to capture accurate and fast image data. The image captured by the camera will be digitally processed, which can be used by deep learning methods on object recognition and evaluation system in eggplant plants. Digital image processing can present the color accuracy of leaves, and fruit stems in eggplant plants for solutions and innovations. Digital image processing is the study of image processing techniques. Processed images are still images or images captured with a model camera. In this study, the images taken were of colored leaves attacked by eggplant rot and brown stem rot. The color model used in this study to transform images to color uses the red-green-blue color function. This study uses the YOLOv4 algorithm implemented on a mobile computing device such as Raspberry Pi 4 to select images of eggplant plants captured by a camera. The image data that has been processed will produce results in plant disease diagnoses based on the image captured by the camera. The results will be announced immediately or announced on the Telegram application. We can then detect diseases in eggplant plants and provide immediate preventative measures for diseased plants to maximize yield.
Empowering Teacher Learning with AI: Automated Evaluation of Teacher Attention to Student Ideas during Argumentation-focused Discussion

Engaging students in argument from evidence is an essential goal of science education. This is a complex skill to develop; recent research in science education proposed the use of simulated classrooms to facilitate the practice of the skill. We use data from one such simulated environment to explore whether automated analysis of the transcripts of the teacher's interaction with the simulated students using Natural Language Processing techniques could yield an accurate evaluation of the teacher's performance. We are especially interested in explainable models that could also support formative feedback. The results are encouraging: Not only can the models score the transcript as well as humans can, but they can also provide justifications for the scores comparable to those provided by human raters.
From sellers' screens to buyers' screens: Screen-to-Screen Smartphone App to digitize all types of print receipts, invoices and paper documents for sustainability and green development

Billions of purchasing receipts, invoices and bills are printed every year worldwide. Manufacturing paper and printing involve large quantities of natural resources (trees, water and energy) while producing large amounts of chemical pollutants and greenhouse gases in the atmosphere. If visual smartphone-scannable codes (VSC) can be developed to encrypt and store large amounts of texts such as purchasing receipts and invoices, and if a smartphone application (App) is developed to scan such codes “from screen-to-screen” (sellers’ screens to buyers’ screens), substantial amounts of environmental resources can be saved and considerable amounts of chemical pollutants and green gas emissions can be avoided. For this purpose, a smartphone App, called “Screen-to-Screen” (STS) is proposed to transfer purchasing receipts and invoices directly from sellers’ monitor displays (i.e., supermarkets, stores, restaurants, pharmacies, etc.) to customer smartphones’ screens without the need to print them anymore. Customers should need only to scan visual scannable codes (VSC) that encrypt purchasing details to convert them into digital formats on the customers’ smartphones screens. As a result, significant amounts of energy, trees, and water can be protected, and important amounts of environmental wastes and chemicals (inks, plastics) used in paper manufacturing and printing can be saved for more vital needs than for printing.
An assessment of website quality at Nigerian polytechnics and colleges of education

This study assessed the quality of the websites of Nigerian polytechnics and colleges of education. Using two web diagnostic tools, SEOptimer and W3C Markup Validation Service, a total of 213 sites were evaluated in terms of six performance indicators: search engine optimisation (SEO), usability, operational performance, social media integration, security, and HTML validation. The weakest performance across the sites of both polytechnics and colleges of education was found to be with respect to social media integration, with the vast majority of sites in both categories making no use of social media. The other two indicators against which sites in both categories of institutions tended to perform poorly were SEO and operational performance. The two areas where the sites in both institutional categories generally scored well were usability and HTML validation. Meanwhile, for the security indicator, the performance was highly variable among both polytechnic and college of education sites, with significant numbers of both strong and weak scores for sites. It was also found that polytechnic sites outperformed college of education sites on SEO to a statistically significant degree (bearing in mind that both categories of sites were weak in this area). It was also found that, among the polytechnic sites, the sites of the state government-owned institutions outperformed, to a statistically significant degree, the sites of the privately owned institutions in their operational performance measure.
DED: Drift Principle in Educational Evolved Data

Clustering data streams is one of the prominent tasks of discovering hidden patterns in data streams. It refers to the process of clustering newly arrived data into continuously and dynamically changing segmentation patterns. This article presents a stream mining algorithm to cluster the data stream with focusing on its evolution and concept drift. Even though concept drift is expected to be present in data streams, explicit drift detection is rarely done in stream clustering algorithms. Concept drift is caused by the changes in data distribution over time. Relationship between concept drift and the occurrence of physical events has been studied by applying the algorithm on the education data stream. Viber education data streams produced by Viber Groups in our Computer Science Department are used to conduct this study. The results show that our proposed algorithm superiority existing ones in purity, entropy, and sum of square error measurements. Experiments led to the conclusion that the concept drift accompanied by a change in the number of clusters and outliers indicates a significant education event. This kind of online monitoring and its results can be utilized in education systems in various ways, such as present the capabilities of participants.
Implementation of Management Information System Using Machine Learning Technology

Implementation of a management information system using Machine Learning technology with the aim of solving the problems owned by the shop owner, namely the owner has a problem in terms of increasing sales. Observation method as data collection by making direct observations of the object under study with the relevant agencies to collect data and information related to existing problems. Research on the implementation of information systems has succeeded in increasing sales by 1.5% each month, using Machine Learning technology, a product sales recommendation system. Because based on the existing problems required an information system to assist in increasing sales. Machine Learning technology used in this research is a product recommendation system that can affect sales increase.
Ceria Mentari: Cerita Rakyat Terpopuler (Most Popular Indonesian Folklore) Applications with Augmented Reality

This study aims to design educational and entertainment media for children and adolescents using Augmented Reality technology. The research method used in this study is a qualitative descriptive analysis. At the same time, in the process of application development, Ceria Mentari adopts the object-oriented method and Multimedia Development Life Cycle prototype (MDLC). The results showed that the design of the Ceria Mentari application could provide a new experience for children in reading folklore through digital devices. The central concept of this application is to make children feel closer to folklore characters through the medium of Augmented Reality (AR), which can provide a sense of interactive learning. In the end, this application emerged as an information medium in the form of dynamic visual media to adapt to the new habits of the world of education, especially in kindergartens and elementary schools.