Showing 1,001 - 1,020 results of 2,078 for search 'data education algorithm', query time: 0.21s Refine Results
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    Neutrosophic Cognitive Maps to Analyze Barriers and Opportunities in the Development of Critical Thinking through Inquiry Strategies in Public Universities by Betsy Maryetta Quispe Baca, Adán Humberto Estela Estela, Vladímir Bendezú Pérez, Yessika Madelaine Abarca Arias, Manuel Cesar Vildoso Villegas, Pierre Sean Rojas Padilla, Juvita Dina Soto Hilario

    Published 2025-05-01
    “…Through a rigorous methodological design that includes systematic data collection and the use of specialized algorithms, the study seeks to uncover the hidden dynamics that affect the adoption of these pedagogical strategies. …”
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    Article
  5. 1005

    Effectiveness and Design of PBL-Based Project Approach for Non-Major University Computing Courses by Jung-In Choi, Sooyeon Yang

    Published 2024-12-01
    “…These findings suggest that the Problem-Based Learning project approach mirrors real-world practices, equipping students with essential computational thinking skills and a deeper understanding of foundational topics such as Python, data structures, and algorithms. This study provides valuable insights for the development of instructional strategies in computing courses for non-major students, emphasizing the importance of creating systematic learning environments that bridge theoretical knowledge and practical application through real-world problem-solving activities.…”
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  6. 1006

    On the principles of building a model of a specialist – a graduate of a pedagogical university by K. S. Kаtаеv, S. G. Kаtаеv, I. V. Kаmenskaya

    Published 2023-03-01
    “…The reasonableness of the obtained results of the study, the availability of a variety of algorithms for data interpretation indicate the real possibility of using in practice the proposed structure of the model, including the way of organising data as a monitoring system.…”
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  7. 1007

    Modern information and communication technologies in professional training of sociology students: Evolving needs and significance in the digital age by Liudmila V. Kalashnikova, Alla S. Lobanova, Iryna V. Hrabovets, Liudmila S. Chernous, Viktoria A. Chorna, Yevhen O. Davydenko

    Published 2025-03-01
    “…We examine the current state and future directions of digital tools for sociology education, including statistical software packages, digital data collection platforms, AI-assisted analysis tools, and data archiving systems. …”
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    Article
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    Utilizing an NLP-supported mobile reflection application to explore academic engagement, application engagement, and performance in engineering and physics courses by Saira Anwar, Ahmed Ashraf Butt, Muhsin Menekse

    Published 2025-08-01
    “…Abstract Background Technology-enhanced classrooms now integrate a range of educational apps designed to improve student outcomes. …”
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  10. 1010

    The Analytical System for Determining the Attitude of Students to the University by Violeta Tretynyk, Mariia Pinda

    Published 2024-12-01
    “…However, traditional methods of collecting and analyzing feedback are often not automated, requiring significant time and human resources to process large amounts of text data. Existing software solutions use methods for processing and analyzing text tone based on machine learning methods and algorithms (naive Bayesian classifier, support vector machine, logistic regression), as well as deep learning (recurrent neural networks). …”
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    BRIDGING THE GAP: OPPORTUNITIES, CHALLENGES AND STRATEGIES FOR AI DEPLOYMENT IN PUBLIC SERVICE DELIVERY by Richard Douglas Kamara

    Published 2025-06-01
    “…At the same time, it emphasises significant challenges, such as algorithmic bias, data privacy risks, public trust deficits, and resource disparities that may impede the equitable adoption of AI. …”
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    AI’s role in transforming learning environments: a review of collaborative approaches and innovations by Dwi Mariyono, Akmal Nur Alif Hd

    Published 2025-03-01
    “…AI’s ability to enhance learning outcomes is evident, yet concerns around algorithmic bias, data privacy and the digital divide must be addressed to ensure equitable access to AI-powered education worldwide. …”
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    Deep knowledge tracing and cognitive load estimation for personalized learning path generation using neural network architecture by Chunyan Tong, Changhong Ren

    Published 2025-07-01
    “…A dual-objective optimization algorithm balances knowledge acquisition with cognitive load management to generate paths that maintain optimal challenge levels. …”
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    Mathematical model of the formation of the basic statistical sample for evaluating the level of the digital competence of lecturers by Svetlana V. Avilkina, Marina A. Bakuleva, Nadezhda P. Kleynosova

    Published 2019-01-01
    “…On the basis of the mathematical model the algorithm of analytical processing of statistical data on monitoring of digital competences is developed.…”
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    Application of Hardware and Software Complex for Individualisation of Students’ Sport and Recreational Physical Activities by O. N. Moskovchenko, L. V. Zakharova, N. V. Tretyakova, N. V. Lyulina, O. A. Kattsin, G. S. Savolaynen

    Published 2019-02-01
    “…Considerably increased intensity of educational process in higher education institution frequently becomes the reason of deterioration in students’ health. …”
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    Designing a work program for the discipline based on the elements of competencies by A. M. Polyanskiy, E. A. Smirnova

    Published 2018-06-01
    “…According to the authors, the use of the elements of competences allocated from the texts of standards, scientific and methodological developments and other sources of the subject field of activity of the university graduate, allows to determine the set and content of knowledge, skills and knowledge necessary for training in the field of preparation more fully, rationally distribute them among educational disciplines and practices, to form the main didactic units of the work program of the academic discipline, to ensure the traceability of the requirements to the results of mastering the disciplines to a specific source of requirements.In the process of research, a methodology for the collection, processing and systematization of information necessary for the preparation of documents for the organization of the educational process at the department of the university was developed and approved; the analysis of professional and branch standards of software engineering is carried out; an array of elements of competencies required by the graduate training directions 09.03.04 is formed; software tools for processing and structuring information, managing changes in the elements of competences, taking into account the interrelations between them are proposed.The article describes the structure of the data array of competencies required by the graduate of the bachelor’s degree in the direction of training 09.03.04 “Software Engineering”; the results of the analysis of the main types of competence sources are presented: the educational standard in the specified direction of bachelor’s degree, professional standards and branch standards of software engineering, ontological and architectural models of entities of the subject domain; an algorithm for the collection, processing and systematization of information necessary for the formation of competency elements; examples of forming various types elements of competences are given.The study has showed that the competence approach, expanded in the proposed methodology, to the formation of working programs of educational disciplines and practices of the basic professional educational program of higher education allows to ensure the completeness, relevance and consistency of the requirements for the preparation of students, the rational distribution of the subject matter of the teaching material between disciplines and their mutual coherence in the educational process.…”
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    THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE DEVELOPMENT OF PREDICTIVE COMPETENCE IN MODERN SPECIALISTS by Viacheslav Osadchyi, Maksym Pavlenko, Liliia Pavlenko, Oleksii Sysoiev, Vladyslav Kruglyk

    Published 2025-06-01
    “…At the same time, diverse adaptation patterns to AI use necessitate a rethinking of the role of human judgement and raise concerns about technological dependency, algorithmic bias, and unequal access to innovation. …”
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