Automated Identification of Learning Styles Using SARSA Reinforcement Learning Based on the Felder–Silverman Model

Identifying students’ learning styles is essential for developing adaptive educational systems that enable personalized learning experiences. Traditional methods, however, often rely on static questionnaires and lack adaptive mechanisms that can learn from data. This study proposes a reinforcement...

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Detalles Bibliográficos

Principais autores:	Nesi Syafitri, Suzani Mohamad Samuri, Yudhi Arta
Formato:	Artigo
Idioma:	Inglês
Publicado:	Universitas Pendidikan Ganesha 2026-04-01
Series:	Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI)
Assuntos:	FSLSM learning styles identification personalized learning reinforcement learning SARSA
Acceso en liña:	https://ejournal.undiksha.ac.id/index.php/janapati/article/view/104783
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