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    Didactic potential of using systems for visualization of algorithms in the process of teaching programming by V. D. Moglan

    Published 2019-05-01
    “…In order to increase the effectiveness of the educational process, it is proposed to use the visualizer of algorithms for teaching algorithms and programming for students of the “Applied Informatics” direction as future specialists in the information technologies.The purpose of the study is to increase the efficiency of the development of algorithmic thinking among students of the specialty “Computer Science”, due to the support and active use of the algorithm visualizer as an additional visual tool for learning when studying the course “Fundamentals of Programming”.Materials and research methods include the analysis of scientific and methodological literature on the subject under study, the analysis of the problem of developing algorithmic thinking by students, the practical implementation of the learning process of the basics of algorithmization and programming using the developed algorithms visualizer, the analysis of students’ survey results.Results. …”
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  8. 108

    Features of training 3d computer modeling and visualization of future teachers of informatics by O. G. Rylova

    Published 2019-02-01
    “…For the implementation of interdisciplinarity, it is proposed to carry out practice-oriented interdisciplinary educational projects in the framework of the study of academic disciplines in three subject areas «Computer Science», «Physics» and «Mathematics». …”
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    Mastery learning in CS1: a longitudinal study during and post-pandemic by Vasa Buraphadeja, Vilasinee Srisarkun

    Published 2024-12-01
    “…The research also offers valuable implications for future instructional strategies, aiming to enhance the learning experience in computer science and potentially influence broader educational practices.…”
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    Editorial Preview by Su-Cheng Haw

    Published 2024-02-01
    “…This editorial highlights all 19 papers in the February issue that deal with the practical aspects of Machine Learning (ML), Artificial Intelligence (AI), Data Mining (DM), the Internet of Things (IoT), and other topics in Computer Science. …”
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