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

Emilia-Felicia Coșniță (), Păun Antonescu () and Ebru Resul ()
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Emilia-Felicia Coșniță: 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

Enformation Conference Proceedings Series, 2025, vol. 16, 51-59

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.

Keywords: artificial intelligence; computer science concepts; educational robots; haptic divices; personalized active learning JEL Classification: C63; C69; I21; I26; I29 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:enf:proc25:art4:v:16

DOI: 10.63467/alls16.art4

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