Through analytics, we intend to equip our stakeholders (learners, instructors, partners and management) with data to achieve high level of learner engagement and completion rates. Kindly take a sneak peek of our initial session here.

1. Role of Analytics in MOOCs

2. 1
To Enhance
Learning
Experience

3. 2
To Encourage
Higher
Enrollment

4. 3
To Predict
Learner
Dropouts

5. 4
To Drive
Higher
Completion

6. Data Sources
Data
Course Information
Course structure, calendar, pages, updates, emails,
student browser and platform tracking logs (clickstream)
Course Enrollment
Activity, Demographics & Geography
Course Engagement
Active Learners, Watched Videos, Tried
Problems and Forum Participation
Learner Performance
Graded and ungraded submissions,
Peer and self-assessments
Learner Analytics
Videos played, replayed and un-played.
Problems tried, correct and attempts.
Discussion Contribution and additional readings
Surveys, Reviews and Ratings
Pre-course & Post-course survey.
Feedback by Learners and Instructors.
Ratings for course and team.

7. General Insights

8. IIMBx Overview
860,000+
Enrollments
35+
Courses
190+
Countries
8000+
Certificates

9. IIMBx Spectrum of Learners
Age
>40 <25
26- 40
Education
High school / Diploma
Bachelors / Associate
Masters / Doctoral
Geography

10. Top 10 Countries for Mobile Learning
13% learn exclusively on mobile
Mobile learners have increased by 78%
from 2014 to 2017

11. Mobile Learning
Mobile Learning is highest worldwide in Personal
Development courses and lowest in Computer
based courses

12. Peak Learning Time
Times of the day when learners
watch lectures worldwide

13. IIMBx: Night Owls
Innovation & IT
Management Learners are
Night Owls
While other course areas peaked at
2 to 4 PM

14. Top 6 Countries of IIMBx Learners
INDIA
USA
CANADA
INDONESIA
UK
NIGERIA
Online Learning is
gaining steam worldwide
In Canada and
Indonesia it nearly
doubled in
2017

15. Insights: MOOCs Learning Components

16. Video Insights

17. Video Data
▪ Explore the video clickstream data to have a better understanding about how data can help
us to analyse the learning behaviour.
▪ Interesting insights on dropouts and interaction peaks in the videos.
▪ Data entry for videos
[user ID], [timestamp], [in -video position], [event type]
▪ Event Types
‘play’, ‘pause’, ‘seek’, ‘stalled’, ‘error ’, and ‘rate change’

18. Video Interaction Parameters
EVENT RECORDED WHEN
Play The video is loaded for the first time
User clicked the play button
Pause The video is over
User clicked the pause button
Seek User dragged the video from one time point to another time point
Stalled The video is stalled due to buffering
Rate Change User changed the playback speed
Error Error occurs

19. Video: Learner Interaction Analysis

20. Video Analytics
The histogram shows the p o p u l a r i t y o f v i d e o s . Color encodes the v i d e o t y p e and height
encodes the l e a r n e r c o u n t .

21. Video Insights

22. Assessment Insights

23. Grading Analytics
▪ Analyse video watching behaviour
▪ Analyse student performance in assignments
▪ Use learner behaviour to predict their performance
Data Entry for Quiz Submission
[user ID], [quiz ID], [time of submission],[answer selected -CFA]
Insight: “Create User-Quiz Pair – Study Buddies”

24. Grading Analytics

25. Assessment Insights
Progression Graph Practice Problems Vs Course Completion

26. Forum Insights

27. Forum Analytics
Due to the vast number of queries/posts, the course admin might tend to overlook this category,
resulting in learner dissatisfaction and increase in drop-out rate
Visualization:
- Break down the posts by course and see the spread
- Look at the posts per user
- Geographic analysis
- Analysis of Pinned Vs Unpinned Posts
- Number of events per course
- Course completion percentage
- Dropout distribution : Number of dropouts per week

28. Forum Posts: IIMBx Courses

29. Pinned Vs Unpinned Posts: IIMBx Course Responses

30. Forum Posts: Geography

31. Discussion Highlights: MOOC on MOOCs

32. Active Learner Cloud: MOOC on MOOCs

33. Feedback & Ratings

34. Feedback Cloud
Course: Predictive Analytics

35. Synchronous Response: Platform Support

36. IIMBx Course Promoter Score

37. IIMBx Instructor Promoter Score

38. Top IIMBx MOOCs: Global Ratings
Innovation and IT
Management
People Management Strategy and Sustainable
Enterprise
Operations management Predictive analytics

39. Top IIMBx Instructors: Global Ratings
Prof. Vasanthi Srinivasan Prof Rahul De’ Prof. PD Jose
Prof. B Mahadevan Prof. PC Narayan Prof. M S Narashimhan Prof. U Dinesh Kumar

40. If you torture the data long enough,
it will confess.
- Ronald Coase