student-personalization

Audit adaptive learning and student personalization systems for pedagogical quality. Use when you need to evaluate learning path algorithms (branching, remediation, acceleration), mastery detection models (Bayesian, IRT, threshold-based), knowledge graph prerequisite accuracy, recommendation engine fairness and bias, spaced repetition and interleaving, WCAG…

Independent GitHub snapshot · Automated classification · Original documentation governs