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Explainable AI (XAI): Improving At-Risk Student Prediction with Theory-Guided Data Science, K-Means Classification, and Genetic Programming
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Bui, Ngoc Van P. – ProQuest LLC, 2022
This research explores the use of eXplainable Artificial Intelligence (XAI) in Educational Data Mining (EDM) to improve the performance and explainability of artificial intelligence (AI) and machine learning (ML) models predicting at-risk students. Explainable predictions provide students and educators with more insight into at-risk indicators and…
Descriptors: Artificial Intelligence, At Risk Students, Prediction, Data Science