Reviewerly/exHarmony huggingface dataset:
ELEMENTS OF GAME TECHNOLOGIES AS A MOTIVATION FACTOR OF AN INCLUSIVE EDUCATIONAL ENVIRONMENT

The article describes the effectiveness of the mechanisms of practical use of game technologies in the environment of inclusive education. The search for optimal ways and the effectiveness of the educational process will be as successful as possible if learning is exciting, interesting, informative, motivating and creative. In connection with today's challenges, the issue of optimization, innovation and availability of knowledge has become relevant. The game as a means of sensory influence for the field of inclusion is extremely important, because it allows people with special needs to adapt to life's difficulties in the future. The paradigm of gaming practices grew as a result of the fact that digital education was institutionalized rather quickly and impulsively. An important transition took place in the system of educational values: the acquisition of experience in the form of informative blocks, the possession of a number of facts, statistics were replaced by the ability to effectively apply the necessary knowledge in the field of practical activity, that is, in life; to be able to choose the main thing, to find the necessary information and to be capable of its practical application. The issue of selecting original methodical practices that would be effective for comprehensive training of students with disabilities remains relevant. Participants of the educational process, who are included in the inclusive platform, are forced to undergo another, universal adaptation in the difficult realities of today. The method of pedagogical observation in combination with a Google Form survey made it possible to analyze the functional significance of game elements in classes in the disciplines of the philological cycle and to prove the effectiveness of the game as a sensory tool among people with special educational needs.
A Novel Fuzzy Unsupervised Quadratic Surface Support Vector Machine Based on DC Programming: An Application to Credit Risk Management

Unsupervised classification is used in credit risk assessment to reduce human resource costs and make informed decisions in the shortest possible time. Although several studies show that support vector machine-based methods have better performance in unlabeled datasets, several factors still negatively affect these models, such as unstable results due to random initialization, reduced effectiveness due to kernel dependencies, and noise points and outliers. This paper introduces an unsupervised classification method based on a fuzzy unsupervised quadratic surface support vector machine without a kernel to avoid selecting related kernel parameters for credit risk assessment. In addition, we propose an innovative fuzzy membership function for reducing noise points and outliers in line with the direction of sample density variation. Fuzzy Unsupervised QSSVM (FUS-QSSVM) outperforms well-known SVM-based methods based on numerical tests on public benchmark credit data. In some real-world applications, the proposed method has significant potential as well as being effective, efficient, and robust. The algorithm can therefore increase the number of potential customers of financial institutions as well as increase profitability.
TEACHERS AS FACILITATORS

This study examines the essential role of educators as facilitators of personalized learning environments in moroccan schools. As education systems around the world increasingly recognize the importance of personalized learning to meet the various needs of students, understanding the specific role of teachers is becoming paramount. This research examines the practices, challenges and potential opportunities faced by educators in implementing personalized learning approaches in moroccan classrooms. The study uses a mixed-method approach, combining qualitative and quantitative data collection methods. Qualitative data is obtained through in-depth interviews with teachers exploring their views on personalized learning and the associated roles and responsibilities of educators. In addition, a survey questionnaire is distributed to teachers to collect quantitative data, which allows a broader understanding of the prevalence and effectiveness of personalized learning practices in different school contexts. The data collected will be analyzed using thematic analysis and statistical techniques to identify emerging themes, models and correlations. The results of this study will contribute to all existing knowledge on personalized learning and highlight the specific challenges and opportunities faced by educators in moroccan schools. By exploring the role of teachers as facilitators in personalized learning environments, this research will inform education decision-makers, administrators and teachers themselves on effective strategies to promote personalized learning approaches in moroccan classrooms. The expected implications of this research include the identification of best practices and strategies to integrate personalized learning into the moroccan education system. The results of the study could lead to the development of teacher training programs, professional development initiatives and policy recommendations that meet the needs of educators and students in personalized learning environments. Finally, this research aims to support the improvement of educational practices in moroccan schools, by promoting a student-centered approach that promotes personalized learning experiences.
Immersion in the Concrete (On Dialectics and Its Interpretation by A. A. Zinoviev)

In correlation with the position of A. A. Zinoviev, the peculiarities of dialectics are discussed. The focus is on the philosophical nature of dialectics, its inherent interrelation of the abstract and the concrete, as well as the specificity of dialectical contradiction. The author’s reasoning is built around several pivotal statements. Science can do without dialectics; but philosophy cannot do without dialectics. Dialectical thought does not ascend from the abstract to the concrete, but immerses in the concrete. Dialectical contradiction arises between meanings that are close to the opposite ones, but are not strictly opposite. It is reasonable to distinguish between dialectics of process and dialectics of state and to insist on the irreducibility to the first dialectical paradigm as such. Dialectics is not only a theory and methodology, but, above all, a style.
Privacy and Security in Digital Health in the Western Balkans During the COVID-19 Pandemic

The COVID-19 pandemic led to mobility restrictions and lockdowns and disrupted traditional face-to-face patient–physician care. As a result, digital health tools became an immediate necessity. The aim of this paper was to look into the state of digitalization from the perspective of a patient in 2020, the first year of the pandemic. By taking into account the context of the Western Balkans, the aim of the study is to explore the online behavior of people in regard to privacy and security issues related to the online delivery of certain health-related data, such as COVID-19 certificates. The methodology of the research is quantitative, based on statistical analysis of data from the databases at the Eurostat, the statistical office of the European Union. Data was generated from the annual Eurostat’s survey on the use of information and communication technologies in households and by individuals. The finding of this research is that the use of digital technologies in the Western Balkans has been growing, but more should be done with respect to digital health at the public level. Another finding is that the general population should improve their digital skills in order to protect their health records and other health-related data online.
ALGORITHMS FOR THE COMPUTATION OF THE EIGENVALUES OF DISCRETE SEMI-BOUNDED OPERATORS DEFINED ON QUANTUM GRAPHS

Spectral problems for differential operators defined on quantum graphs are of great scientific interest related to problems in quantum mechanics, computer network modeling, image processing, ranking algorithms, modeling of electrical, and mechanical and acoustic processes, in networks of a diverse nature, in designing nano systems with prescribed properties and in other areas. Theoretical solutions of direct and inverse spectral problems on quantum graphs have been developed, but computational algorithms based on these methods are computationally inefficient. We have not seen any published works that consider examples of numerical solutions of spectral problems on finite connected graphs with a large number of vertices and edges. Therefore, the development of new computationally effective algorithms for numerical solution of spectral problems given on finite connected graphs is urgent. This paper develops a technique for finding the eigenvalues of boundary value problems on finite connected graphs with a required number of vertices and edges. To use this technique, it is necessary to know the eigenvalues and vectors of the eigenfunctions of corresponding unperturbed vector operators which are usually self-adjoint. Finding them manually, if the graph has a large number of vertices and edges, is difficult. This led to writing a package of programs in the mathematical environment Maple to find transcendental equations in the symbolic mode to calculate eigenvalues and find the eigenfunctions of unperturbed boundary value problems. Examples of calculating eigenvalues for a quantum graph which models an anthracene aromatic compound molecule are presented.
Coleccionistas de Sonido Website. 2022. https://www.coleccionistasdesonidos.com/

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Impact of Peer Review on Learning Performance in a Smart Classroom Teaching Environment

With the rapid progress of educational technology, smart classrooms have gradually been widely applied, aiming to provide students with more efficient and innovative learning experiences. As a non-traditional assessment method, peer review has attracted widespread attention in this context, and its role in the learning process of students is increasingly prominent. However, there are still disputes and deficiencies regarding its specific applications and benefits in smart classroom environments. This study aimed to dig into the peer review standard and its score prediction in a smart classroom environment and evaluate the specific impact of peer review on learning performance. It is expected that this study can provide educators with a more accurate and practical peer review method, thereby optimizing the teaching and assessment modes of smart classrooms.
The Effect of Intelligent Evaluation Technology on Students’ Initiative in Post-lecture Evaluation of Online Teaching

Class evaluation based on intelligent technology is a disruptive innovation and change. Strengthening research, developing key technologies in the education evaluation field, and effectively integrating intelligent technology in higher education evaluation are among the essential measures that can be taken to ensure the high-quality development of higher education. In this study, 352 undergraduates from Anyang Institute of Technology in Henan Province were invited to participate in a questionnaire survey. The influence of four aspects of intelligent evaluation technology (i.e., language analysis, behavioral analysis, emotion analysis, and teaching evaluation techniques) on the initiative of the students in the post-lecture evaluation of online teaching was analyzed. Differences in the initiative of the students in post-lecture evaluation under different frequencies of use of intelligent evaluation technology were measured. Results showed that the overall Cronbach’s α is 0.840 and the Kaiser-Meyer-Olkin value is 0.852, indicating that the questionnaire has very good reliability and validity. Language analysis, emotion analysis, and teaching evaluation techniques have a positive promotion effect on the initiative of the students in the post-lecture evaluation of online teaching. The frequency of use of intelligent evaluation technology after class has a significant influence on the initiative of the students in post-lecture evaluation at the 0.01 level (F = 5.073, p = 0.002). Moreover, the initiative of the students in post-lecture evaluation declines gradually as their frequency of use of intelligent evaluation technology increases. The research conclusions can serve as an important reference for education teaching evaluation mode reform, with artificial intelligence technological support; the interpretability of multidimensional indices (e.g., cognition, emotions, and input) for online teaching quality evaluation; and teaching quality evaluation under man–machine coordination.
FACTORS OF INCREASING OF SPECIAL EDUCATION OF SELF-EFFICACY BY FUTURE TEACHERS IN THE USA

The article examines the importance of the pedagogical self-efficacy formation of future teachers for working with students with special educational needs, analyzes the influence of a teacher's professional self-efficacy on their self-regulation, and indicates possible options for working with students in the direction of the formation of future teachers of special education pedagogical self-efficacy. It was determined that the concept of «pedagogical self-efficacy» is an integrative education expressed in the teacher's confidence in his own professional competence, the ability to productively carry out pedagogical activities, choosing such means of pedagogical influence that ensure the successful achievement of the goals of the educational process. It was made the conclusion that pedagogical self-efficacy is one of the most important aspects of teacher’s professional training. In this key Social-cognitive theory by Albert Bandura was analysed.
Pengelompokkan Zona Belajar Anak Melalui Perencanaan Diskusi Kelas Berbasis Digital di MAN 1 Langsa

ABSTRAK&#x0D; This community service activity in the form of assistance in developing learning media aims to provide knowledge about learning methods by grouping digital based learning zones. The ability to develop learning media is expected to accelerate and facilitate teachers in carrying out the learning process. The targets in this service activity are all 26 teachers of MAN 1 Langsa. Assistance in the development of learning media is carried out by means of lectures, demonstrations and exercises accompanied by questions and answers. The lecture method is used to explain the introductory concept of professional teachers and the theory of learning media. The demonstration method is used to show a work process, namely the stages of developing digital-based learning media, while the training method is to practice learning methods. While the question and answer method is to give participants the opportunity to consult in overcoming obstacles in the development of learning media. The availability of adequate experts in the development of learning media, the enthusiasm of the participants, the support of the school principal for the implementation of activities and supporting funds from the faculty are the supporters of the implementation of this PKM activity. The obstacles faced were that teachers did not have initial knowledge about utilizing digital in the learning process and limited time for training. The benefits that participants can get from this service activity include being able to compile and develop digital-based learning media according to the courses being taught.
Pelatihan Penyusunan Materi Ajar Terintegrasi Teknologi Bagi Guru di SMPN 19 Mataram

From the amount of data obtained on the number of teachers teaching at SMPN 19 Mataram, the situation of the learning process was analyzed. Learning at SMPN 19 Mataram mostly still uses manual materials using printed books. For this reason, this training was deemed necessary so that SMPN 19 Mataram teachers could make technology-integrated teaching materials. One of the technologies that can support teaching materials especially in teaching students achievement in the field of English is the Powtoon Program. This application is a web-based animation software that allows users to quickly and easily create animated presentations by manipulating pre-made objects, imported images, provided music, and user-generated voiceovers. Powtoons are used by businesses to create attractive and creative presentations that attract attention, and can also be used for educational assessments and content delivery. PowToon is a tool similar in operation to Power Point, Impress, or even Prezi. It uses a slide on which text and images can be added, but also allows animation and the incorporation of sound or music, available within the same application or via an external source.
Readiness of Public and Private Sector Organizations for Knowledge Management: A Literature Review

This paper reviews the growing literature on organizational readiness for knowledge management (KM) in both public and private sectors. It is based on literature published during the period 1997-2016. Only original research papers have been included in this literature review. The thematic structure has been adopted. In the beginning, significance of knowledge as well as the significance and definition of KM will be clarified. Afterwards, the underlying problems and methodological issues raised in the literature will be discussed. The paper also reviews the relationship between organizational readiness and organizational and human contributing factors. Finally, significant differences in employees’ attitudes and willingness to be involved in the KM process according to different demographic variables will be examined. Research shows that it is essential to assess organizational readiness before embarking on KM projects. In addition, research indicates that both organizational factors, namely, culture, structure, and information technology (IT) infrastructure, and human factors, namely, acceptance of KM and willingness to participate in the KM process influence, organizational readiness for KM. This study is useful for researchers and practitioners to understand current trends and problems and methodological issues. This paper identifies trends, problems and methodological issues. A mixed-approach investigation consisting of both quantitative and qualitative methods is recommended to provide a comprehensive understanding of the contributing factors influencing organizational readiness for KM.
Explainable renegotiation for SLA in cloud-based system

The excitement around cloud technology often leads people to believe that it can solve all problems, but this is not always true and the complexity of using the cloud is often overlooked by promoters. There is a significant difference between the adoption of cloud technology and the level of innovation that cloud consumers can achieve, which is a major concern for many cloud users. They are questioning the ability of cloud computing to provide continuous service delivery.The Service Level Agreement (SLA) is a crucial document in cloud computing that outlines the obligations of both the customer and the provider, including details about the expected service delivery and penalties for violations. This document is essential for customers to trust the cloud provider&apos;s ability to handle their data and rely on the service. Without strong assurances that their requirements and SLA will be enforced, customers will not outsource their data to cloud infrastructures. Thus, managing the SLA within a cloud-based system is crucial to ensuring service continuity.Cloud providers typically offer two types of SLA: predefined and negotiated. A predefined SLA is a generic template that applies to all customers. However, some customers may have unique QoS requirements that are not covered by a predefined SLA. In such cases, the customer and provider engage in a negotiation process to establish a mutually agreed-upon SLA before service provision (negotiated SLA). In this context, negotiation refers to the process by which parties arrive at a mutually acceptable agreement on a particular matter.In a typical scenario, the terms of an SLA are fixed upon construction and remain unchanged throughout the service period. However, this approach conflicts with the dynamic nature of cloud computing, which is characterised by flexibility. The inability of current SLA management frameworks to accommodate this dynamic environment can negatively affect service delivery performance. In this context, a framework refers to an abstract representation of functionality for managing the SLA. Service providers must be capable of accommodating changes in the needs and circumstances of cloud consumers over time. Failure to address these factors can result in service violations that may impact the acceptance of a cloud service.Existing frameworks for managing SLAs do not include provisions for adjustable SLAs based on customer preferences during operation, nor do they address service violation handling for cloud-based systems that can minimise such violations. The focus of typical SLA renegotiation is limited to the initial phase of service delivery, and service violation handling only reacts after the violation has been detected. Consequently, there is a need for adjusting SLAs during service operation, considering the customer&apos;s changing preferences, the provider&apos;s current situation, and any occurrences of service violations.
Read, understand, write: What are students' mathematics learning results when using e-module to learn integers?

The teaching materials used by teachers still need to meet the learning needs of students, plus the current situation is that there is no direct interaction. Most students do not attempt to solve the questions the teacher poses. Students' scores must be supplemented, and the learning atmosphere should be more comfortable and pleasant. This study aimed to determine the feasibility of modules with Flip PDF Corporate, the practicality of modules with Flip PDF Corporate, and the effectiveness of modules with Flip PDF Corporate. This type of research uses the development research model, also known as R&amp;D (Research and Development), using Sugiyono's 8-stage development model. The subjects of this research are grade VI elementary school students with Data collection techniques using observation, interviews, and questionnaires. , and tests. The data analysis technique in this study looked for the average rating of all endorsers, the average student response to the module, and the independent samples t-test. Research results and the validity, practicality, and effectiveness of the media will be discussed
Implementation of the Teams Games Tournament (TGT) Learning Model Assisted with Lost Card Media to Improve the Numeration Abilities of Class I Students in Primary Schools

This research aims to describe the application of the Teams Games Tournament (TGT) learning model assisted by Missing Card media to improve the numeracy skills of Class I students in elementary schools. The subjects of this research were 24 grade 1 students at SD Negeri 078/I Teluk Ketapang. This research is classroom action research (PTK). Observation, interviews, tests, and documentation were obtained from this research data. The results of research that implemented the Teams Games Tournament learning model assisted by Lost Card media showed an increase in students' numeracy skills as indicated by recapitulation data which was guided by indicators of class I students' numeracy abilities. The percentage of students' numeracy abilities in cycle II reached 79.16%. there was an increase in numeracy ability, which in the pre-cycle was 29.16%. and cycle I reached 59.09%.