Different Machine Learning Models to Predict Dropouts in MOOCs-Reference-Cited by-同舟云学术

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Different Machine Learning Models to Predict Dropouts in MOOCs

Published:2018-09 Issue: Volume: Page:
ISSN:
Container-title:2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)
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Author:

Kashyap Avinash,Nayak Ashalatha

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8536361/8554361/08554547.pdf?arnumber=8554547

Cited by 9 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. Predicting Student Dropout based on Machine Learning and Deep Learning: A Systematic Review;ICST Transactions on Scalable Information Systems;2023-07-18

2. Algorithmic Approach to Select MOOCs Platform: An Institutional Perspective;ICT with Intelligent Applications;2021-12-06

3. Adopting Software Product Lines to Implement an Efficient Learning Analytics Framework in MOOCs;J INF SCI ENG;2021

4. Modes, Media and the Online Teaching Space;SpringerBriefs in Education;2021

5. E-inclusion Prediction Modelling in Blended Learning Courses;Educating Engineers for Future Industrial Revolutions;2021

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