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Predictive Analytics (Interventions interventions (Defining Processes,…
Predictive Analytics
Interventions 
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Setting Policies
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"Interventions should ideally have a specific, defined outcome and be measurable for effectiveness." (E-CAR)
Data Sets
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Activity from Event Logs
High level general events, course site logins, individual content views on discussion forums, etc :pencil2:
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Impact on Learners
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Predictive Modeling
focuses on student success, completion, and operations
used to forecast the number of courses needed to meet student demand, based on course taking behavior
by looking at what students click on instructors can analyze how a student will perform in the course
References
- ECAR-Analytics Working Group. (2015). The predictive learning analytics revolution: Leveraging learning data for student success. ECAR working group.
- Koedinger, K. R., McLaughlin, E. A., & Stamper, J. C. (2014). Data-driven Learner Modeling to Understand and Improve Online Learning: MOOCs and technology to advance learning and learning research (Ubiquity symposium). Ubiquity, 2014(May), 3.