AI Co-Pilot.
Honours thesis. A Chrome extension turning learning analytics into personalised recommendations.
Reads quiz scores, content engagement time, skipped lessons and link clicks from SCORM and Moodle, then routes those signals through an LLM to deliver tailored next-step recommendations directly inside the student's LMS. Demonstrated lift in engagement and module completion.
How it works.
The flowThe signals we read.
Quiz performance
Per-section scores, miss patterns, and answer-time per question.
Engagement time
Time spent on each piece of content compared to the per-lesson target.
Lesson skips
Which sections were jumped past versus completed end-to-end.
Link clicks
Whether linked readings, case studies, and external references were opened.
Quiz retry attempts
Number of attempts before passing a quiz and the score gradient between tries.
Scroll depth
How far down each lesson page the student actually scrolled.
Video pauses & rewinds
Where students paused, rewound, or sped up embedded video content.
Bookmarks & notes
Which items the student saved or annotated for later review.
Session pacing
Length and frequency of study sessions across the week.
Drop-off points
Where in a lesson the student tends to disengage or close the tab.