This paper introduces SC2R, a framework designed to provide actionable and constraint-aware interventions for students at risk of poor academic performance. SC2R integrates a predictive model with an integer-programming-based recourse generator, utilizing an RDF vocabulary for intervention plans and SHACL for constraint validation. Evaluations on the OULAD dataset demonstrate the framework's ability to generate scalable intervention plans that are both semantically feasible and machine-checkable, going beyond simple model validity. AI
IMPACT Provides a novel approach to generating actionable and constraint-aware interventions for educational decision support.
RANK_REASON The cluster describes a research paper introducing a new framework. [lever_c_demoted from research: ic=1 ai=1.0]
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