AI-driven predictive models for optimizing mathematics education technology: enhancing decision-making through educational data mining and meta-analysis

This paper explores the challenge of achieving consistent effectiveness in integrating Mathematics Education Technology (MET) in K-12 classrooms, focusing on factors such as technology type, timing, and instructional strategies. It highlights the difficulties novice teachers face in optimizing MET c...

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Bibliographic Details

Main Authors:	He, Aneng, Yuan, Wenwen, Lee, Lai Soon, Tian, Tian
Format:	Article
Language:	en
Published:	Springer 2025
Subjects:	Education Computer Science Applications
Online Access:	http://psasir.upm.edu.my/id/eprint/123319/1/123319.pdf http://psasir.upm.edu.my/id/eprint/123319/ https://link.springer.com/article/10.1186/s40561-025-00415-z
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