Prediction of Students’ Performance in E-learning Courses-Reference-Cited by-同舟云学术

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Prediction of Students’ Performance in E-learning Courses

Published:2021-11 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Promising Electronic Technologies (ICPET)
language:
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Author:

Sabaneh Kefaya,Jayousi Rashid

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9691501/9692003/09692058.pdf?arnumber=9692058

Reference18 articles.

1. A Review on Feature Selection Methods For Classification Tasks

2. Gabor Feature Selection Based on Information Gain

3. Random wheel: An algorithm for early classification of student performance with confidence

4. Can We Predict Student Learning Performance from LMS Data? A Classification Approach

5. Predicting academic success through students’ interaction with Version Control Systems

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. Human Computer Model for E-learning in Pandemic of Covid-19;2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS);2022-04-07

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