Reviewerly/exHarmony huggingface dataset:
Diagnostics of the Teacher's Professional Skills to use Innovative Forms and Teaching Methods

The article aims to investigate scientific approaches to the process of diagnostics of the teacher's readiness for innovative activities as well as the basic skills necessary for the teacher to apply innovative forms and methods of education.&#x0D; The analysis of scientific research contributes to the determination of the main contradiction between the requirements put forward by the state to teachers regarding the introduction of innovative forms and methods of education and the insufficient level of mastery of innovative technologies and the formation of readiness for the introduction of innovations.&#x0D; The process of formation of professional skills to apply innovative forms and methods of training is presented in the form of a model, the structural components of which are: principles of organization of the educational process aimed at the effective formation of professional skills to apply innovative forms and methods of training; method of formation of professional skills to apply innovative forms and methods of training; methods of applying innovative forms and methods of education; diagnostics of the levels of professional skills to apply innovative forms and methods of training; implementation of innovative forms and methods of training into the educational process of higher education institutions; pedagogical guidance in the process of formation of professional skills to apply innovative forms and methods of education.&#x0D; It is revealed that the formation of professional skills to apply innovative forms and methods of training will contribute to the development of appropriate readiness.&#x0D; Four levels of development of skills to apply innovative forms and methods of education are defined and it is recommended to carry out diagnostics according to two indicators determining both, the theoretical and practical readiness of the teacher to apply innovative methods and forms of education.
Protection of students’ personal data on the websites of general secondary education institutions: research results

The article provides an analysis of the results of an all-Ukrainian study on the problems of sharing students’ personal data on general secondary education institutions’ websites and pages in social networks. A survey of 31,478 parents/persons who replace them and 11,415 teachers and representatives/representatives of the administration of general secondary education institutions was conducted, the results of which were compared with those obtained during the pilot study of 2018. The effectiveness of the approbation of methodological recommendations regarding the organization of an educational institution’s website (with a focus on respect for human rights in the online space), based on the results of the pilot study was verified. It was found that 22.13% more parents/persons who replace them sign permission to take photos and videos of their child, the number of educational institutions’ websites, which publish warnings and contact information for deleting personal data, photos, videos with the child, has increased. It was determined that the number of general secondary education institutions that have a common vision, understanding, instructions and rules for publishing/distributing photos and videos with children on social networks and messengers has increased. This was indicated by 47.12% more parents/persons who replace them, and by 56.48% more teaching staff. The survey showed that 62.71% of the interviewed teachers apply the methodological recommendations and, more often, the rules for filling the educational institution’s website approved by the internal instructions of the educational institution. On the other hand, certain problems related to the research topic were identified and ways of solving them were proposed.
Online platforms for public speaking skills development of education seekers

The article is devoted to the issue of the formation and development of public speaking skills during the forced transition to distance and blended learning in the system of formal, non-formal and informal education. A number of online platforms for the development of public speaking skills were analyzed, in particular online platforms in the virtual educational environment of a higher education institution, specialized international online platforms for developing public speaking skills, courses for developing public speaking skills on educational online platforms, and author's online platforms of this direction. The advantages and prospects of using online in the classroom and during independent work on rhetoric at higher education institutions, as well as self-improvement in oratory skills, are outlined.&#x0D; The study of rhetoric at higher education institutions is considered and it is indicated that it is advisable to expand rhetoric training courses on university online platforms with the help of the creation and active use of online platforms of university or inter-university oratorical schools or clubs, thus forming a favorable rhetorical educational environment. On the basis of the analysis of specialized, educational and author's online platforms for the development of public speaking skills, it is concluded that the use of theoretical material or practical recommendations and cases of the above-mentioned online platforms for future specialists’ rhetorical training will ensure the diversification of the material presentation and increase interest and motivation in studying rhetoric, as well as understanding the importance of public speaking skills development. It is summarized that the combination of formal, non-formal and informal rhetorical education will facilitate the exchange of important and interesting information, views, values and will contribute to individual development and professional growth.
Educational Complex Geographical Practice in Student-Centered Learning

The article presents the problem of creating an optimal list of components of educational and professional programs in geography. It is noted that the Concept of student-centered learning provides for the mandatory involvement of students in the formation of educational programs, and therefore in the formation of the content of individual disciplines - a component of educational and professional programs.&#x0D; The purpose of the article is to determine the ways to optimize the process of forming students' competencies in the context of «soft skills» and «hard skills» based on the results of the study on the analysis and evaluation of the content and method of geographical practice. The study was conducted with students of the first (bachelor's) level of higher education (educational and professional program «Geography») at the Odesa I. I. Mechnikov National University. To analyze and evaluate the content of training, an educational complex geographical practice was chosen as a component of the educational and professional program «Geography». The respondents were students and graduates of 1980-2020. The survey questionnaire contained 12 questions, which were divided into 4 blocks: 1) age and sphere of employment of respondents; 2) received «hard skills»; 3) received social and life safety skills; 4) emotional assessment of the practice and recommendations for improving the practice program. The obtained results proved that the survey of applicants should serve as an additional source for monitoring and modernization of both the program of the discipline and the educational and professional program of the specialty as a whole.
Student Attendance Information System Using QR Code (Quick Response) At ITSNU Kalimantan

In this increasingly advanced era, Information Technology (IT) is unavoidable. Everyone is competing to find innovations that can improve their performance. Private Universities (PTS) in Indonesia are no exception. An educational institution's attendance list is the primary reference in monitoring student activities. Although this sector is critical, traditional data collection is still taking place. As a result, many problems arise, such as data loss, long charging times, long queues, overcrowding, and even affects student concentration. ITS NU Kalimantan is one of several private universities in Central Kalimantan and is still relatively new. Student attendance applications are designed and developed for more mature data collection to avoid problems that arise later. This study offers the use of web android-based technology equipped with a QR code feature. Based on the questionnaire results conducted on 45 respondents who used the UAT model, the perceived usefulness aspect was 82%, the perceived ease of use aspect was 84%, the perceived user acceptance aspect was 82%, and the average rating produced was 83%. This percentage shows that users respond positively to this attendance system.
Development of Virtual Reality Applications as a Media for Digitizing Cultural Heritage in the Historic Building of the Banten Caringin Mosque

The Caringin Banten Mosque is a historic relic that must be preserved and introduced to the public, but the condition of the historic mosque in Banten is no longer visible, therefore digitalization is needed so that people can know the historical events of the mosque. The technology that can be used to digitize the mosque building is Virtual Reality, which is a technology that allows users to see and interact with an environment that is simulated by a computer, so that users feel they are in that environment. Virtual Reality can be applied to various devices, one of which is currently widely used, namely Android. The purpose of this research is to produce a Virtual Reality application for the Caringin Banten Mosque based on an Android smartphone, with the hope of making it easier for the public to know and learn about the historical heritage of the Caringin Banten Mosque. This research method uses the Waterfall model from the SDLC. The stages are divided into 6 namely: System modeling, Software requirements analysis, Design, Coding, Testing and Maintenance. The author uses Blender software to create three-dimensional objects, then uses Unity software to create virtual reality applications. Based on testing, the application can run smoothly on the author's Android device. However, when tested by 10 (ten) people, the application still has some shortcomings. However, the application was successful in introducing the Caringin Banten Mosque to users.
The Utilization of Decision Tree Algorithm In Order to Predict Heart Disease

The data on heart disease patients obtained from the Ministry of Health of the Republic of Indonesia in 2020 explains that heart disease has increased every year and ranks as the highest cause of death in Indonesia, especially at productive ages. If people with heart disease are not treated properly, then in their effective period a patient can experience death more quickly. Thus, a predictive model that is able to help medical personnel solve health problems is built. This study employed the Random Forest and Decision Tree algorithm classification process by processing cardiac patient data to create a predictive model and based on the data obtained, showing that the data on heart disease was not balanced. Thus, to overcome the imbalance, an oversampling technique was carried out using ADASYN and SMOTE. This study proved that the performance of the ADASYN and SMOTE oversampling techniques on the C45 algorithm and the Random Forest Classifier had a significant effect on the prediction results. The usage of oversampling techniques to analyze data aims to handle unbalanced datasets, and the confusion matrix is used for testing Precision, Recall, and F1-SCORE, as well as Accuracy. Based on the results of research that has been carried out with the K-Fold 10 testing technique and oversampling technique, SMOTE + RF is one of the best oversampling techniques which has a greater Accuracy of 93.58% compared to Random Forest without SMOTE of 90.51% and SMOTE + ADASYN of 93.55%. The application of the SMOTE technique was proven to be able to overcome the problem of data imbalance and get better classification results than the application of the ADASYN technique.
Energy consumption analysis of intelligent temperature control steaming process of new concrete prestressed pipe piles

Abstract The traditional steam maintenance process of concrete prestressed pipe piles adopts steam maintenance, and the energy utilization rate is not high due to the inaccurate temperature automatic control system in the steaming pool and the serious loss of steam during the steaming process. In order to effectively ensure the strength and durability of concrete pre-products, shorten the production cycle at the same time, realize the automation of the steam pond temperature control system, the new maintenance process in the traditional maintenance process by manual temperature adjustment on the basis of intelligent control of temperature, thereby improving the accuracy of the steam pool temperature control system. In order to improve the energy utilization rate of the traditional steaming process of concrete prestressed pipe piles, the new concrete pipe pile maintenance process uses recycled water to maintain it, which has a certain energy-saving effect relative to the traditional steam maintenance, and calculates the energy consumption of the new steaming process and the energy consumption of the current steaming process of the enterprise to determine its energy saving.
Safe Discord Bot Using ML

Abstract—Discord is a popular real-time chat platform with comprehensive bot support. Bots are common on Discord and offer a variety of services such as moderating aid, games, music, internet searches, money processing, and more. We attempted to create a simple variation in the Discord community by deploying a bot in this study. The purpose of this study is to implement a safe bot in Discord that identifies chat emotions and automatically eliminates chats that are not acceptable for community platforms. Using Machine Learning and sentiment analysis the bot is able to classify the sentences and classify them into different categories of emotions and automatically eliminates the sentences which are categorized as unusual. This helps to make your chat safe and helpful for the community. In the first instance, sentiment analysis finds emotional tones in real-time behind your chat messages and deletes them automatically if any negative correlation is detected in them. Keywords— Raspberry pi, Discord bot, ML.
WEB APP FOR ALL THE UPDATES OF COLLEGE ACTIVITIES

In the era of technology several technologies are emerging and revolutionizing many sectors.The majority of people want their expertise in these technologies, especially students.Achieving expertise in these technologies is not everyone's cup of tea, it requires a lot of practice.Students often practice these technologies (like Programming, Machine Learning, and Artificial Intelligence) through new competitions and activities.But this creates a fumble for users to distinguish and select the appropriate activity according to interest.This Project focuses on the concept of smart education it will help users (students) to get all the information regarding all the events and majorly the area of interest of the user.Commonly, we used to see all the notifications regarding hackathons and activities whether we are interested or not so to overcome this problem we are using sorting and priority-based techniques in software to give maximum outcomes to the user.In this paper, we discuss the development of a web portal for conveying new updates to the user based on their interest.
Student Experience of Emergency Remote Teaching During COVID-19 Early in the 2020/21 Academic Year

In response to the contagious disease coronavirus disease 2019 (COVID-19), a number of health and safety measures were enacted across Canada in March 2020. These measures included the physical closure of postsecondary institutions, including the authors’ institution Carleton University. The physical closure resulted in an abrupt transition from normal in-person teaching to emergency remote teaching (the term emergency remote teaching is used to distinguish it from online teaching, which is not subject to the challenges and constraints associated with an emergency situation). Emergency remote teaching continued at Carleton University for the entire 2020/21 academic year. There were increased resources, training opportunities, supports, and time to prepare for teaching, as compared to the sudden change in the Winter 2020 term. Simultaneously, there were still many ongoing challenges and constraints in the pursuit of optimal remote teaching and learning. Midway through the Fall 2020 term, a questionnaire on the student experience with emergency remote teaching was developed and delivered to undergraduate students in the Department of Systems and Computer Engineering at Carleton University. This paper presents the findings of this questionnaire from the 159 respondents. Results suggest that, on average, academic and intellectual student engagement was slightly worse for emergency remote teaching versus normal in-person teaching. Emergency remote teaching posed some difficulties and challenges, but also provided some advantages that were preferred (e.g., less travel time, ability to rewatch asynchronous lectures). There was a notable worsening of social student engagement, which was associated with increased feelings of isolation and decreased mental health and well-being. There was also a number of students who faced technical barriers with respect to remote teaching, with only 22% indicating that they experienced few or inconsequential technical barriers. This research adds to the discourse on emergency remote teaching, including the lens of engineering education. The paper can help inform future transitions to emergency remote teaching, with some insights potentially useful for online teaching, which is anticipated to continue to increase in its prevalence.
Facilitating Cross &amp; Beyond Course Project-Based Software Engineering Learning Experiences

Throughout each academic semester, software engineering students are often provided with opportunities to explore open-ended project-based activities. Within the confines of specific courses, many of these explorations have resulted in interesting and impactful, partially or fully engineered software solutions. However, after student-developed solutions are explored, tested, and delivered within a classroom setting it has been the author’s experience that they often don’t progress beyond the course in which students explored and created them in. The results of this are missed opportunities for innovation as well as missed opportunities for further creative and collaborative explorations. This work-in-progress explores the following question: what could a model, process, and/or framework look like that would enable software engineering educators to create a learning environment that facilitates continued exploration, collaboration, and iteration of project-based student work beyond individual courses? This paper will describe an exploratory hybrid framework called ORhiDeCy that the author has designed and has been exploring in his courses over the last several years. This paper describes ORhiDeCy, an example of its successful use in the author’s software engineering teaching practice, collaborator and student feedback, and the author’s reflections and ideas for continued explorations.
Comparative Study on the Teaching of Japanese Listening and Speaking in the Language Room of Teachers' Intelligent Multimedia Systems in Chinese and Foreign Universities

With the popularization of computers and various mobile intelligent terminals, intelligent multimedia teaching systems with learners as the main body are more and more favored by learners, which affects and changes the methods and modes of Japanese teaching to a large extent. Native language teachers are considered the authority of the language. Fluent oral expression and profound knowledge of language and culture make them regarded as ideal foreign language teachers, especially in oral teaching, they are regarded as having incomparable advantages. This research aims to explore the differences between Chinese and foreign teachers in listening and speaking teaching under the teaching conditions of the intelligent multimedia language room, and to try to analyze the reasons for the differences. This paper interviewed 180 sophomores of Japanese majors, 4 Chinese Japanese teachers and 2 Japanese foreign teachers at foreign language universities through a questionnaire survey, and analyzed the statistical data through SPSS 21.0. The 180 students were divided into groups of 30, with 4 groups from non-Japanese teachers' classes and 2 from Japanese teachers' classes. For a long time, they have used the same Japanese listening and speaking textbooks in the intelligent multimedia language room. In order to better improve the quality of teaching, Chinese and foreign teachers should strengthen teaching cooperation and exchanges, rationally improve teaching content, optimize the use of teaching software, and achieve win-win cooperation. In the NJST class, 29.2% of students believe that they spend more time practicing listening in class than speaking. In the NNJST class, close to 39.1% of students believe that teachers spend more time on listening. Fully consider the needs of learners in learning a second language other than Chinese, and through research on Japanese learning strategies and teaching theories, to design and develop an intelligent Japanese teaching system with comprehensive functions, strong applicability, and support for individualized, autonomous and collaborative learning.
: Asynchronous global types in co-logic programming

Global types are at the core of communication-based programming. They allow a high-level specification of protocols involving many participants and enforce good safety and liveness properties, such as deadlock freedom, and the absence of locked participants and orphan messages. The present software provides an implementation in co-logic programming of a novel formalism of global types for sessions with asynchronous communications, where we use coinduction to properly handle the coinductive syntax of global types and processes. It also offers a simple query language to write sessions and global types, providing primitives for type checking.