Comparing supervised learning models for classifying learned helplessness in a mathematics tutoring environment

Learned helplessness affects student motivation and performance, especially in mathematics, where repeated difficulty often leads students to withdraw from tasks. Most existing research has used surveys and teacher observations to study this phenomenon. While these methods provide insights, they do...

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Principais autores:	John Paul Miranda, Rex Bringula, Nelson Rodelas, Carmelita Ragasa, Edie Boy Dela Cruz, Sheila Geronimo, Arlene Mae Valderama, Albert Vinluan, Alexis John Rubio
Formato:	Artigo
Idioma:	Inglês
Publicado:	OmniaScience 2025-12-01
Series:	Journal of Technology and Science Education
Assuntos:	adaptive systems, educational data mining, learned helplessness, machine learning, tutoring systems
Acceso en liña:	https://www.jotse.org/index.php/jotse/article/view/3765
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