Early dropout prediction in distance higher education using active learning
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8308011/8316350/08316424.pdf?arnumber=8316424
Cited by 5 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. A Novel Grades Prediction Method for Undergraduate Students by Learning Explicit Conditional Distribution;IEEE Transactions on Artificial Intelligence;2024-09
2. From Sparse to Smart: Leveraging AI for Effective Online Judge Problem Classification in Programming Education;Lecture Notes in Computer Science;2024
3. Not Another Hardcoded Solution to the Student Dropout Prediction Problem: A Novel Approach Using Genetic Algorithms for Feature Selection;Intelligent Tutoring Systems;2022
4. A Self-Adjusting Approach for Temporal Dropout Prediction of E-Learning Students;International Journal of Distance Education Technologies;2020-04
5. From Lab to Production: Lessons Learnt and Real-Life Challenges of an Early Student-Dropout Prevention System;IEEE Transactions on Learning Technologies;2019-04-01
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