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Direct linkJialun Pan; Zhanzhan Zhao; Dongkun Han – IEEE Transactions on Learning Technologies, 2025
Properly predicting students' academic performance is crucial for elevating educational outcomes in various disciplines. Through precise performance prediction, schools can quickly pinpoint students facing challenges and provide customized educational materials suited to their specific learning needs. The reliance on teachers' experience to…
Descriptors: Prediction, Academic Achievement, At Risk Students, Artificial Intelligence
Download full textCorrin, William; Parise, Leigh M.; Cerna, Oscar; Haider, Zeest; Somers, Marie-Andrée – MDRC, 2015
Too many students drop out and never earn their high school diploma. For students at risk of dropping out, academic, social, and other supports may help. "Communities In Schools" seeks to organize and provide these supports to at-risk students in the nation's poorest-performing schools, including through "case-managed"…
Descriptors: Caseworker Approach, At Risk Students, High School Students, Potential Dropouts
