Students' Performance Prediction Using Multimodal Machine Learning-Reference-Cited by-同舟云学术

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Students' Performance Prediction Using Multimodal Machine Learning

Published:2022-11-27 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE IFEES World Engineering Education Forum - Global Engineering Deans Council (WEEF-GEDC)
language:
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Author:

Joshi Yamini¹,Mallibhat Kaushik¹^ORCID,M. Vijayalakshmi¹^ORCID

Affiliation:

1. School of Computer Science& Engineering KLE Technological University,Hubballi,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9996196/9996199/09996212.pdf?arnumber=9996212

Reference28 articles.

1. Predicting academic performance: a systematic literature review

2. Multimodal data as a means to understand the learning experience

3. Predicting Student Performance using Advanced Learning Analytics

4. Systematic Literature Review: An Investigation Towards Finding Constructs For Performance Prediction of Students in an Online Engineering Course

5. The role of demographics in online learning; A decision tree based approach

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. Systematic Literature Review: An Investigation Towards Finding Constructs For Performance Prediction of Students in an Online Engineering Course;2022 IEEE IFEES World Engineering Education Forum - Global Engineering Deans Council (WEEF-GEDC);2022-11-27

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