Reviewerly/exHarmony huggingface dataset:
Relationship between the Principal Support, Self-Efficacy, Collective Efficacy and Teacher Commitment in Primary School

Teacher commitment to school is an important factor of school efficacy and it has immediate influence on pupil success.It also conveys teachers' psychological attachment to the teaching profession.There are numerous positive results of teacher commitment to school.Committed teachers are more devoted to their work, are willing to contribute to the achievement of school goals and are less likely to leave their profession.Quality teacher retention has become a growing challenge in education systems across the world.Thus, it is important to determine the factors which affect teacher commitment.The aim of this study was to examine to which extent certain demographic and contextual teachers' characteristics, together with the perceived principal support, self-efficacy and collective efficacy contribute to the affective, normative and continuance teacher commitment to school.The results of the performed regression analyses indicate that principal support is the most significant predictor of affective and normative teacher commitment.Although principal support has had a significant contribution in explaining continuance commitment, this contribution is quite small.Teacher self-efficacy has not been proved to be a statistically significant predictor of teacher commitment, while collective teacher commitment has a statistically significant, but low contribution in explaining affective, continuance and normative teacher commitment.
Pedagogical and Psychological Conditions for the Organization of Independent Work of Students

The article discusses the scientific, regulatory, organizational and pedagogical foundations of self-organizational work and support for students in education in higher educational institutions.The key terms and principles of education are revealed; examples of the organization of vocational training are given.The legislative framework and regulatory documents regulating the implementation of the requirements of education in university levels are presented.The student not only works fully, but also understands the essence of his individuality in the implementation of educational activities.The joint work of the teacher and the student will undoubtedly allow the student to increase the level of knowledge and develop as an individual person.On the basis of the cooperation between the student and the teacher, feedback is provided, a certain educational activity is actively carried out, and the actions performed are fixed by control and self-control.In the context of credit learning technology, the subject-to-subject relationship is realized and the feedback between the teacher and the student is enhanced.The reproductive nature of learning becomes intense, creative.The content component determines the content of the organization of independent work in the in-depth study of pedagogy.The main goal of the model will be the creation of a methodological system for organizing independent work of students in the conditions of a credit training system.Starting with the 2020 to 2022, there has been arranged and conducted a research of the selforganization process of students in four groups of Abay Kazakh National university.The aim of the study was to research the influence of a set of pedagogical measures for the enhancement of elements of self-organization work of students.The conducted research revealed the following: students of gr.Pedagogy and psychology -71 «b» and gr.Pedagogy and psychology -70 «b»
PELATIHAN DAN PENDAMPINGAN PEMANFAATAN MEDIA DIGITAL GURU SMP MUHAMMADIYAH 1 KOTABUMI DALAM PEMBUATAN VIDEO PEMBELAJARAN

An educator needs to continue to develop their potential in order to support improving the quality of students in schools. One of the self-potential development activities is to participate in training activities and the development of learning videos. This activity is carried out with the aim of providing experience to teachers in training activities and assisting in making learning videos. The participants in this activity were all teachers at SMP Muhammadiyah 1 Kotabumi, North Lampung. The implementation of this activity is carried out in three stages, namely planning, implementation and evaluation. At the planning stage, the team conducts cooperation, conducts preliminary studies, and develops concepts. At the implementation stage, the team conducted training and mentoring for teachers about making learning videos. At the evaluation stage, the team evaluates the series of activities that have been carried out by conducting interviews with training participants and mentoring. This service activity was carried out from 03 August 2021 to 28 September 2021. The results of this activity were obtained in the form of 3 (three) learning videos
Using New Technologies and Mobiles for Students with Disabilities to Build a Sustainable Inclusive Learning and Development Ecosystem

Nowadays, the educational policy, in many countries, promotes equal access for all students, including those with disabilities, to the general school, against all forms of social exclusion. Inclusion, in an innovative sense of the concept of diversity, focuses on the active participation and interaction of a heterogeneous student population in the general classroom. “E-inclusive” pedagogy refers to teachers’ decisions about the use of technology in the educational process with a view of compensating their developmental deficits and making functional use of their strengths. The aim of this paper is to propose tech tools and e-services for the access and active participation of students with sensory and motor disabilities in the educational procedures of the mainstream school and examine the role of teachers in realizing their inclusion / e-inclusion, as the main facilitators and modulators of the classroom settings to an open learning and development student-centered ecosystem. The results showed that teachers who accept as equal members of the school community all their students and incorporate flexibly new technologies into their teaching strategies to meet their unique needs, providing them with authentic opportunities for interaction and learning, contribute catalytically to their academic and social achievements, preparing them for substantial employment and integration opportunities in community life.
Hourglass-based interoperability through nanopublications in VODAN-A

This paper makes the case for the potential use case of nanopublications to expand the interoperability of the Virus Outbreak Data Analysis Network – Africa given their similarity to FAIR Digital Objects.
Analysis of Tourism Businesses Number in the Entertainment and Recreation Sector using Predictive Apriori Algorithm

Data Analysis of the Number of Tourism Businesses in the Entertainment and Recreation Sector is used as data sources for extracting information. In this study, data on the number of tourism businesses in the entertainment and recreation sector will be mined to support decision-making information. This research purpose is to analyze the tourism business number in the entertainment and recreation sectors. The method is using predictive Apriori algorithm. The data has been tested using Knime software to process data on the number of tourism businesses in the entertainment and recreation sector at the domestic level by using business data whose numbers are increasing or decreasing. Starting from entering nodes 1, 2 and 3 to getting node 4, which is the final result. The results obtained show the data set that produces the final result for every 1 tourism business data. The result obtained that the tourism number in entertainment and recreation sectors are increasing. Furthermore, the prediction result of entertainment and recreation which have best accuracy are balls, discotheques, massage parlors, karaoke, live music, massage parlors, sports and physical fitness centers, family recreation facilities and spa
Mengenal Sastra Anak Melalui Pembelajaran Bahasa Indonesia di Kelas VII dalam kurikulum 2013 Sekolah Menengah Pertama

Learning Indonesian is a learning that has an important role in terms of knowledge, emotions and attitudes. Learning Indonesian with material related to literary works in the form of children's literature. Children's literature is part of the 2013 curriculum in Indonesian language learning. This research method uses literature study as data collection. The results of the analysis of research on children's literature in learning Indonesian in grade VII curriculum 2013 high school, namely children's literature into reading that can stimulate children's imagination according to the end and the child's psyche. Fantasy stories are stories whose plot development uses a causal basis as a form of moral message and combines logic with things that don't make sense. A fable is a traditional story in which the character is an animal about the life of an animal which is intended as a personification of human character that contains a moral message. Witty rhymes are rhymes that aim to entertain and have value or are humorous without offending others and as a means of socializing. The role of children's literature is to become a medium for teachers to introduce good attitudes and behavior and things that are not accepted in society with the characters in fables and fantasy stories. Keywords: Indonesian language learning, children's literature, the role of children's literature
The International Issues and Future Tasks in Digital Trade

Purpose – The aim of this research is to analyze the international issues of digital trade and present future tasks. Design/methodology/approach – This research is used in analyzing the literature review and the domestic and foreign legislation for legal research related to digital trade. Findings – With the 4th Industrial Revolution, the global industrial structure and business paradigm are facing a new period of transformation different from the previous. However, laws and systems do not meet the rate of change in the overall structure of the industry, which shows the same pattern not only in Korea but also in the international community. Companies that supply digital goods, such as electronic transmissions using these gaps, are trying to avoid taxes, and international organizations have come to discuss new measures such as introducing digital taxes to prevent such tax avoidance. Therefore, this research confirmed the current status of digital trade and international issues, and presented opinions on Korea's preemptive tasks and countermeasures. Research implications – First, the E-commerce tariff moratorium perpetuation on electronic transmission should be reviewed. Second, a solution to the problem of personal information protection arising from data transactions between countries should be prepared. Third, measures should be prepared to protect intellectual property rights caused by the characteristics of digital transactions. Fourth, terms used in digital trade-related laws and regulations should be unified for consistent digital trade agreements and efficient policies. Fifth, a dedicated digital trade organization should be established to collect statistical data on digital trade and exchange opinions between government and companies.
Representasi Lingkungan dalam Sastra Indonesia: Tinjauan Literatur Review

The current environmental crisis is an important issue that is the focus of research globally, including in Indonesia. Therefore, this research is an effort to explore trends in environmentally sound literary research in Indonesia. The research process was carried out by combining statistical data combined with descriptive analysis. Therefore, mixed-method research methods are considered appropriate to use. Research data is a source of literary ecology research trends taken from the Google Scholar database. The data source is Google Scholar. Data retrieval using the Publish or Perish app. The data is taken by entering the keyword "literary ecology" in the Google Scholar database drop-down menu. Once the data is retrieved, it is then analyzed using the Vosviewer application. Vosviewer analysis can display research trends, research topic relationships, research developments from year to year, and various research information, in accordance with the research focus based on data inputted in the application The results of the study show that literary ecology research in Indonesia has only developed in at least the last five years. In quantity, the amount of literary ecology research in Indonesia is increasing. In terms of the quantity of types of relationships with various other scientific terminology, the number is still small. Meanwhile, in terms of research trends with literary ecology research topics have shown progress that continues to develop by involving other sciences. This is certainly a good development in scientific debate, because the issue of environmental crisis discussed through literary ecology involves various other scientific fields for the purpose of solving environmental problems globally. An important implication of this research is that information about literary ecology research trends in Indonesia can be an important source of knowledge to see the efforts of the Indonesian people in their participation in dealing with global environmental problems. Keywords: Literary ecology, Ecocriticalism, Literature Review, Environmental Ethics, Literary Works
An Unsupervised Learning Approach to Handle Movement Epenthesis in Continuous Sign Language Recognition

In this paper, the problem of movement epenthesis in continuous sign language sentences is considered. Movement epenthesis caused due to unwanted but unavoidable hand movement in between two sign gestures in continuous signing has emerged as one of the most challenging problems in automatic sign language recognition. To handle this problem, a novel method based on unsupervised learning approach has been proposed in this paper to separate out video frames corresponding to meaningful sign gestures from meaningless movement epenthesis segments in a continuous signing gesture video clip. Our proposed method is based on K-means clustering of the norm values of the absolute difference between current frames and the reference frame to detect the movement epenthesis frame and then classify the frames of the video as movement epenthesis frames and sign frames. Exhaustive experimentation on the publicly available standard ChaLearn LAP ConGD gesture video dataset was carried out to test our algorithm. Experimental results demonstrate that the proposed method is good enough to detect and separate out the movement epenthesis frames in sentence level sign language videos. Our proposed approach performs the movement epenthesis detection task accurately in 91% of the videos of the ChaLearn LAP ConGD dataset.
The Use of Self-Recording Videos as ESL Learning Method in Increasing English Learning Performance

The use of Technology-based learning is currently tended to massively used in a variety of activities in schools and universities. SRV is designed to become an effective English learning method that can promote the students learning performance. This research aims at assessing or investigating the effectiveness of using SRV (Self-Recording Videos) in the university students of the Engineerings department, at the university of Bumigora. It was carried out by a quantitative research method which is descriptively statistically analyzed along with a number of samples are 14 students. This research’s sampling technique was carried out through a simple random technique, then it was accounted the sample’s number by using Slovin’s technique. The instrument of data collection used is a questionnaire consisting of 9 items, then the reliability of the instrument was tested, in which the Cronbach alpha value (0.721 &gt; 0.60), showing that the questionnaire is reliable. The quantitative data were descriptively analyzed by using a t-test. This study suggests that the use of Self-Recording Videos (SRV) affected students’ English learning performance by assessing the average score. It is obtained that the average score is 0.8476/84.76%. In conclusion, SRV is an effective English learning method for enhancing students’ English performance.
Sign Language Recognition using Deep Neural Network

Abstract—Sign language recognition is an attractive research field with a wide range of applications including telesurgery techniques. Another important application of hand gesture recognition is the translation of sign language, which is a complicated structured form of hand gestures. In sign language, the fingers’ configuration, the hand’s orientation, and the hand’s relative position to the body are the basis of structured expressions. The importance of hand gesture recognition has increased due to the prevalence of touchless applications and the rapid growth of the hearing-impaired population. However, developing an efficient recognition system needs to overcome the challenges of hand segmentation, local hand shape representation, global body configuration representation, and gesture sequence modeling. In this paper, a novel system is proposed for dynamic hand gesture recognition using multiple deep learning architectures for hand segmentation, local and global feature representations, and sequence feature globalization and recognition. The proposed system is evaluated on a very challenging dataset, which consists of dynamic hand gestures performed by subjects in an uncontrolled environment. The results show that the proposed system outperforms state-of- the-art approaches, demonstrating its effectiveness.
EasyNUSC: An Efficient Heterogeneous Computing Framework for Non-uniform Sampling Two-Dimensional Convolution Applications

Non-uniform sampling two-dimensional convolution (NUSC for short) is a practical method in the field of 2D space image processing. NUSC maps sampling data of non-uniform distribution to a regular output grid through convolution. The growth rate of such data volume continues to increase, and the computational performance of NUSC is one of the key issues to be solved. Heterogeneous computing platforms provide advanced computing capabilities for accelerating NUSC performance. But heterogeneous programming and performance tuning are complex. A simple and efficient dedicated programming model and corresponding runtime framework can effectively solve such a problem. This paper proposes a parallel programming model and framework for the development of NUSC applications in heterogeneous computing environments, named EasyNUSC. When developing NUSC applications, EasyNUSC can automatically parallelize NUSC applications and perform tedious work. Developers no longer need to pay attention to the details of algorithm parallelization and task scheduling. In terms of performance optimization, this paper proposes a series of strategies in vectorization, memory access, and data reuse. The experimental data shows that EasyNUSC achieves up to 339 times the performance of a serial program within a single node, while providing excellent scalability.
Formalised or Music? Some Thoughts on Xenakis's Khoai

The analytical approach to Xenakis's compositions is largely focused on the underlying mathematical operations of the music. More recently; however, some analyses have relativised the relevance of the mathematical basis. Xenakis's own statements can support this relativisation. Taking into account the meaning of the title and recognising Khoaï´s distinctly gestural character, an interpretive approach to Khoai is ventured. The form and performance of the work can be interpreted as storytelling, with the gestures and movements involved in the preparation of a sacrifice to the ancient gods.
Dicto-Comp in Indonesian’ English Writing Class

The present inquiry investigated the dicto-comp’ effectiveness on the writing achievement of EFL learners. An experimental research design, chiefly concerned on the non-equivalent pretest-posttest control group design, was taken into the research. Thirty six students were taken as the sample purposively. An English writing test was employed as the primary instrument to assess the writing achievement of EFL learners. The research results found out (1) the EFL learners’ English writing achievement level in the group of experimental after the treatment given was in the good and very good category, (2) dicto-comp significantly improved the EFL learners English writing achievement in the experimental group, and (3) dicto-comp made significant difference on EFL learners’ English writing achievement than those who were not. In conclusion, implementing dicto-comp improved the writing achievement of the EFL learners significantly. Pedagogical implications for English students and lecturers, stakeholder, and near future researchers were also made in this research.
The Integration of Multimodality in EFL Classes: Students’ Perception

Technology has greatly influenced education in the twenty-first century. Multimodal teaching is one of many classroom methods brought by technology. However, only a few studies have been conducted on how to create a multimodal pedagogy to assist EFL students in enhancing their language skills. Therefore, the purpose of this study was to investigate the perceptions of high school English students regarding the integration of multimodality into English classroom practices. Participation in this study was determined using a random sample. Data was gathered from 100 high school students in SMA Panjura, Malang. These students have experienced using multimodal in their learning process for six weeks. In this research, a quantitative method with a survey research design was chosen. The data were analyzed using SPSS 24 and the data was presented descriptively. The study revealed that the majority of students had a positive attitude toward the implementation of multimodality in their learning process in response to the characteristics of current students.
USE OF PYTHON AND MACHINE LEARNING FOR FAKE NEWS DETECTION

Everyone now relies on various online news sources because the internet is so widely used. News quickly spread among millions of users in a very short period of time along with the increase in the use of social media platforms like Facebook, Twitter, etc. Additionally, spammers use alluring news headlines to lure readers into clicking on their ads. You occasionally need to confirm the accuracy of information. A new area of research that is receiving a lot of attention is fake news detection. Due to the limited resources, including datasets, processing, and analysis methods, it does, however, face some difficulties. In this work, we suggest a machine learning-based system for detecting fake news. Keywords: sklearn, Vectorizer, PassiveAggressive Classifier
DOMESTIC AND INTERNATIONAL EXPERIENCE IN ORGANIZING THE PROCESS OF PROFESSIONAL COMPETENCE DEVELOPMENT OF TEACHERS

Article discusses the development of professional competence of teacher. Authors of the work considered approaches to competence, including methodological. Issue of the organization of process of professional competence development was analyzed. Accordingly, the legal acts of Kazakhstan and experience of the universities in improving the qualifications of teachers were studied. Foreign experience is presented in the form of analysis of process preparing teachers for professional activity in the context of countries such as the UK, USA, Malaysia, Russia. At the same time, the experience is shown in the context of requirements of the state and proposals of universities themselves in advanced training. Study of domestic and foreign experience in the organization of process of professional competence development is conditioned by the objectives of the scientific project "Creation of system for the development of methodological competence of teachers of IT disciplines based on the continuity of education".