Systematic Literature Review: An Investigation Towards Finding Constructs For Performance Prediction of Students in an Online Engineering Course-Reference-Cited by-同舟云学术

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

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 Kaushik²^ORCID,M. Vijayalakshmi³^ORCID

Affiliation:

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

2. School of Electronics & Communication Engineering, KLE Technological University,Hubballi,India

3. Centre for Engineering Education Research, KLE Technological University,Hubballi,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9996196/9996199/09996249.pdf?arnumber=9996249

Reference35 articles.

1. Mining LMS data to develop an “early warning system” for educators: A proof of concept

2. Students' Performance Prediction Using Multimodal Machine Learning

3. An Interpretable Online Learner's Performance Prediction Model Based on Learning Analytics

4. Predicting Student Performance using Advanced Learning Analytics

5. Predicting Academic Performance Based on Learner Traces in a Social Learning Environment

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1. Students' Performance Prediction Using Multimodal Machine Learning;2022 IEEE IFEES World Engineering Education Forum - Global Engineering Deans Council (WEEF-GEDC);2022-11-27

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