student-personalization

by Skills Hub

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 2.1 AA and Section 508 accessibility compliance, IEP/504 accommodation implementation, xAPI/SCORM/LTI data integration, or teacher/student/admin analytics dashboards. Covers platforms like Knewton, DreamBox, ALEKS, IXL, Khan Academy, and custom adaptive systems.