This video belongs to the openHPI course Learning @ Scale 2021 & EMOOCs 2021. Do you want to see more?
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About this video
Moderated by: Rene Kizilcec, Cornell University
This is the program for this session:
- Kavana Ramesh, Laton Vermette and Parmit Chilana: Setting up, Troubleshooting, and Innovating on the Delivery of Online Instruction: A Case Study of an LMS Q&A Forum
- Karen D. Wang, Shima Salehi, Max Arseneault, Krishnan Nair and Carl Wieman: Automating the Assessment of Problem-solving Practices Using Log Data and Data Mining Techniques
- Benjamin Xie, Matt J. Davidson, Baker Franke, Emily McLeod, Min Li and Amy J. Ko: Domain Experts' Interpretations of Assessment Bias in a Scaled, Online Computer Science Curriculum
- Renzhe Yu, Hansol Lee and Rene Kizilcec: Should College Dropout Prediction Models Include Protected Attributes?