Metrics and Engagement is 7 articles: learning analytics map, completion vs learning, in-video engagement signals, retention and re-engagement, predictive at-risk analytics, real-time instructor dashboards, and a metrics-to-decisions capstone.
Learning analytics turns learner data into decisions: which e-learning metrics matter, which vanity numbers mislead, and the xAPI stack behind them.
"Watched 100%" is not "completed." See what course completion rate really means across SCORM, xAPI, and cmi5 — and the product levers that lift it.
Watch-time, the drop-off curve, and re-watch hotspots for learning video: what each reveals about content quality and the editing decisions they drive.
Why interaction signals beat watch-time for measuring learning: the ICAP ladder, the signals worth capturing, and how to track them with xAPI and Caliper.
How engagement heatmaps reveal what completion hides, how to build them from xAPI played-segments, and the GDPR / AI-Act line on attention tracking.
Build a learning analytics pipeline end to end: design the xAPI event schema, batch and sample events, choose an LRS, and model the data warehouse.
Design learning and development reporting for three audiences — learners, instructors, and the business — and climb from completion to training ROI.
Specialist software house for video, real-time and AI products. Founded 2005. 50 in-house engineers.
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