“Earlier” Warning Systems: Making the Most out of the First Signs of Student Underperformance
Author:
Affiliation:
1. University of Vigo,AtlanTTic Research Center,Vigo,Spain
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9962306/9962373/09962630.pdf?arnumber=9962630
Reference14 articles.
1. Learning analytics to unveil learning strategies in a flipped classroom;jovanovi?;The Internet and Higher Education,2017
2. Profiling Students’ Self-Regulation With Learning Analytics: A Proof of Concept
3. Permutation importance: a corrected feature importance measure
4. Monitoring students’ self-regulation as a basis for an early warning system;liz-domínguez;Learning Analytics Summer Institute Spain 2021 Learning analytics in times of COVID-19 Opportunity from crisis,2021
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1. Fairness in Predictive Learning Analytics: A Case Study in Online STEM Education;2023 IEEE Frontiers in Education Conference (FIE);2023-10-18
2. Assessing the Importance of Video Visualization Timings in a Flipped Classroom Context;2023 IEEE Frontiers in Education Conference (FIE);2023-10-18
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