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
Format:	Artigo
Jezik:	Inglês
Izdano:	OmniaScience 2025-12-01
Serija:	Journal of Technology and Science Education
Teme:	adaptive systems, educational data mining, learned helplessness, machine learning, tutoring systems
Online dostop:	https://www.jotse.org/index.php/jotse/article/view/3765
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