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EduRiskX: A Neuro-Symbolic Framework with F-Logic Reasoning for Early Academic Risk Prediction
Not provided
neuro-symbolicrisk predictioneducational analytics
2608.26107
Builder Relevance
1h ago80%
Abstract
EduRiskX is a neuro-symbolic framework designed to predict students' academic risk in online education, enhancing early detection and interpretability.
Reality Card
Core Claim
EduRiskX achieves an accuracy of 0.900 and an F1-score of 0.894 for early academic risk prediction, with a detection rate of 94.30 percent.
Method / Result
Achieved an average early detection week of 9.32.
Limitations
The paper does not specify the authors, which may hinder reproducibility.
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