Early Detection of At-Risk Students in a Calculus Course
Author:
Affiliation:
1. School of Computing and Augmented Intelligence (SCAI), Arizona State University,Mesa,Arizona,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9842455/9842394/09842632.pdf?arnumber=9842632
Reference21 articles.
1. Mining LMS data to develop an “early warning system” for educators: A proof of concept
2. Predictors of performance in the virtual classroom: Identifying and helping at-risk cyber-students;wang;The Journal (Technological Horizons in Education),2002
3. Academic analytics: A new tool for a new era;campbell;EDUCAUSE Review,2007
4. Academic analytics: Using the CMS as an early warning system;campbell;WebCT impact conference,2006
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Early Prediction of Student Performance with LSTM-Based Deep Neural Network;2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC);2023-06
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