Erudite. Overview. Recorded video content is However, there is no - PowerPoint PPT Presentation

Erudite.

Overview. Recorded video content is However, there is no But behavioral viewing an increasingly prominent existing feedback loop for metrics can be predictive of mode of training. improving this content. quality and difficulty.

That’s where we come in. Erudite provides advanced video analytics for online educators.

Process. Instructors and trainees Instructors post video Instructors receive metrics sign up on the platform assignments that trainees about how the video was respectively. then view. viewed and received.

What kind of stats? We provide both time-wise stats throughout the video as well as aggregate summary stats.

Watch time (s) Average speed (?x) Pause time (s) Fullscreen time (s) Active time (s) Rewatch time (s) Muted time (s) Fullscreen paused (s) No. of skips No. of pauses No. of rewinds No. of tab switches Completion Rate (%) Focus Score (%) Difficulty Score (%) Much more data provided compared to other platforms, plus the ability to drill down and aggregate by trainees, assignments, etc.!

Use Cases. Tracking quality of Identifying what videos are Diagnose what videos and completion per viewer as more intuitive, well-paced viewers are facing difficulties. well as on aggregate. and at the right difficulty.

Data-driven education. With the advances in AI and data analytics, Erudite can add value even post lockdown.

Privacy. We only share any data Our platform uses fully We don’t capture off-site and stats with the course encrypted and secure markers about what users specific instructors. communication. open or view.

Future developments. Some things that I have in mind about where we can go from here.

Quizzes By quizzing viewers, we can build models to predict how these viewing metrics translate to understanding. This also improves quality of data, because they have a more urgent incentive to learn the material well. A/B Testing By randomly assigning different versions of a video (e.g. from different YouTubers teaching the same concept) to random subsets of viewers, educators can utilize comparative analytics and what works well and why. Segmentation We can use these behavioral metrics to also find groups of viewers who have similar learning styles and hopefully take this a step further to proactively recommend what videos will work better.