SerinaRica/EduRiskX: EduRiskX

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: SerinaRica
DOI: 10.5281/zenodo.18637900
Cited by: 0

Abstract

EduRiskX (Educational Risk eXplainer) is a comprehensive framework designed to predict at-risk students in online learning environments. It combines the predictive power of modern Deep Learning models (such as Transformers) with the interpretability of Symbolic Reasoning (F-Logic) to provide accurate, explainable, and actionable insights.

Fields of Study & Subjects

Online Learning and Analytics Intelligent Tutoring Systems and Adaptive Learning Artificial Intelligence in Education

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
14 February 2026
Language
EN