Bayesian knowledge-tracing adjusts the difficulty and sequence of content in real time based on each student's mastery level and learning pace.
Computer-vision-based proctoring with face detection, gaze tracking and anomaly flagging. Works browser-native — no plugins required.
WYSIWYG editor for video, slides, quizzes, code sandboxes and assignments. SCORM and xAPI compatible for existing content libraries.
Per-student engagement heatmaps, cohort progress reports, at-risk learner flagging and outcome tracking for institutional accreditation.
Integrated video (Zoom/Daily.co), discussion forums, peer assessment and office hours scheduling within the platform.
Institution-level branding, role-based access, cohort management, certificate generation and API access for SIS integration.
Learning Engine can sit beside an existing LMS or operate as the primary learning platform. Institutions use it for adaptive curricula, assessment workflows, proctoring, learner analytics and intervention planning. The implementation focuses on curriculum mapping first, then gradually layers AI feedback and analytics where faculty teams can trust the outputs.