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Empower artificial intelligence webinar week a personalized early warning system for supporting learners the uoc case by david baneres
- 1. A personalized early warning system for supporting learners: the UOC case David Bañeres (dbaneres@uoc.edu) Universitat Oberta de Catalunya
- 2. UOC Virtual Campus StaffFaculty Students
- 3. UOC Virtual Campus StaffFaculty Students - Provide support - Manage programmes - Manage system - Solve questions - Provide support - Prepare activities - Assess activities - Generate resources - …- …
- 4. • Some repetitive tasks can be (semi)-automated Potential enhancement: • We can provide a real 24x7 support to students • We can provide a better personalized support
- 5. LIS: Learning Intelligent System • Project supported by the eLearn Center through the New Goals call • 3 years project • A research group composed of 4 members
- 6. Principal Aim To develop an adaptive system to be globally applicable at UOC campus to help students to succeed in their learning process.
- 7. Predictive Analytics Early Warning System Automated Recommendations Automated feedback My Checklist Gamified Interface Research topics
- 8. Predictive Analytics Early Warning System Automated Recommendations Automated feedback My Checklist Gamified Interface Research topics
- 9. Outline • GAR predictive model • Infrastructure • Dashboards • Nudgeting system
- 10. Outline • GAR predictive model • Infrastructure • Dashboards • Nudgeting system
- 11. CAA1 CAA2 … CAAn ? Pass Course? Grade CAA1 Grade CAA1, Grade CAA2 Grade CAA1, Grade CAA2,…, Grade CAAn Students at-risk identification model v1
- 12. CAA1 CAA2 … CAAn ? Pass Course? Accuracy Detect At-risk 56% 87% 91% Acc. Detect Non-at-risk 93% 95% 97% Students at-risk identification model v1
- 13. CAA1 CAA2 … CAAn ? Pass Course? Grades CAANewbie Student Enrolled Courses Semester Failed Times Course GPA Profile Student + Students at-risk identification model v2
- 14. 56% 87% 91% 93% 95% 97% CAA1 CAA2 … CAAn ? Pass Course? Accuracy Detect At-risk 81% 88% 92% Acc. Detect Non-at-risk 92% 92% 96% Profile Student Students at-risk identification model v2
- 15. Accuracy Threshold High quality Low quality Relevancy of accuracy on real setting
- 16. Model for a CAA Accuracy Threshold High quality Low quality Relevancy of accuracy on real setting
- 17. Model for a CAA Accuracy Threshold High quality Low quality Relevancy of accuracy on real setting
- 18. Relevancy of accuracy on real setting Model for a CAA 75% High quality Low quality Accuracy Threshold
- 19. Outline • GAR predictive model • Infrastructure • Dashboards • Nudgeting system
- 20. Infrastructure
- 21. Infrastructure Institutional data mart
- 22. Infrastructure Computational service
- 23. Infrastructure Informational service
- 24. Infrastructure Desanonamyzer service
- 25. Infrastructure Nudgeting service
- 26. Outline • GAR predictive model • Infrastructure • Dashboards • Nudgeting system
- 27. Grade CAA1 Grade CAA2 Pass? B A PASS B B PASS B C+ FAIL B C- FAIL B D FAIL B N FAIL CAA2 Student’s dashboard v1 Fail Pass
- 28. Student’s dashboard v2
- 29. Grade CAA1 Grade CAA2 Pass? B A PASS B B PASS B C+ FAIL B C- FAIL B D FAIL B N FAIL CAA2 Student’s dashboard v2
- 30. Teacher dashboards
- 31. Teacher dashboards
- 32. Teacher dashboards Recovered Students
- 33. Outline • GAR predictive model • Infrastructure • Dashboards • Nudgeting system
- 34. Consecutive non-submitted One activity non-submitted Likelihood to fail May fail but low accuracy model May pass but low accuracy model Likelihood to passPass the activity but grade lower than prediction Prediction feedback Nudgeting system
- 35. Consecutive non-submitted One activity non-submitted Submit activity Informational feedback Nudgeting system
- 36. Not accessed on activity Not yet submitted activity Already submitted the activity Remainder Nudgeting system
- 37. Lessons learned ● Predictive model needs further analysis to be applied on real setting ● Infrastructure solves particular UOC setting ● Is the EWS/nudgeting system really useful?
- 38. UOCresearch @UOC_research http://lis-project.research.uoc.edu/ Welcome LIS at UOC, we expect that you succeed as students do.