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Adapting Students' Learning Styles Using Artificial Intelligence in Learning Computer Science Concepts and Developing Educational Robots

Author

Listed:
  • Emilia-Felicia CoÈ™niță

    (National University of Science and Technology Politehnica Bucharest, Romania)

  • Păun Antonescu

    (National University of Science and Technology Politehnica Bucharest, Romania)

  • Ebru Resul

    (Faculty of Automatic Control and Computers, National University of Science and Technology Politehnica Bucharest)

Abstract

By integrating artificial intelligence, this paper presents a method designed to help students learn more efficiently, benefiting from personalized education in algorithms and educational robot programming, which has enhanced the potential of each student. Adapting to current learning needs as well as for the baccalaureate exam, artificial intelligence was used as a study support to provide educational information, detailed explanations, and guide students through the steps to obtain clearer, more learning-oriented answers.

Suggested Citation

  • Emilia-Felicia CoÈ™niță & Păun Antonescu & Ebru Resul, 2025. "Adapting Students' Learning Styles Using Artificial Intelligence in Learning Computer Science Concepts and Developing Educational Robots," Enformation Conference Proceedings Series, , vol. 16, pages 51-59, November.
    • Handle: RePEc:enf:proc25:art4:v:16
    DOI: 10.63467/alls16.art4
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    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C69 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Other
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • I29 - Health, Education, and Welfare - - Education - - - Other

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