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

Author(s): Emilia-Felicia Coșniță, Păun Antonescu, Ebru Resul
Subject(s): Social Sciences, Economy, Education, Higher Education , ICT Information and Communications Technologies
Published by: Weik Press SRL
Keywords: artificial intelligence; computer science concepts; educational robots; haptic divices; personalized active learning;
Summary/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.

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