Exploring the Impact of Predictive Analytics and AI in STEM Education

The demand for STEM education is rising globally, yet high attrition rates among underrepresented groups remain a significant challenge. This paper explores the potential of predictive analytics and learning analytics (LA) to enhance student retention and success in STEM fields. Predictive analytics...

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Bibliographic Details
Main Author: Tai Ki Kim
Format: Article
Language:English
Published: The Institute of Research and Community Services, Universitas Terbuka 2025-05-01
Series:International Journal of Research in STEM Education
Subjects:
Online Access:https://jurnal-fkip.ut.ac.id/index.php/ijrse/article/view/1758
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