A Deep Learning Model to Predict Student Learning Outcomes in LMS Using CNN and LSTM-Reference-Cited by-同舟云学术

A Deep Learning Model to Predict Student Learning Outcomes in LMS Using CNN and LSTM

Published:2022 Issue: Volume:10 Page:85255-85265
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Aljaloud Abdulaziz Salamah¹^ORCID,Uliyan Diaa Mohammed¹,Alkhalil Adel¹,Elrhman Magdy Abd²,Alogali Azizah Fhad Mohammed³,Altameemi Yaser Mohammed⁴^ORCID,Altamimi Mohammed¹,Kwan Paul⁵^ORCID

Affiliation:

1. Department of Information and Computer Science, College of Computer Science and Engineering, University of Ha’il, Ha’il, Saudi Arabia

2. Foundations of Education Department, Community College/Education College, University of Ha’il, Ha’il, Saudi Arabia

3. Department of Educational Leadership, University of Rochester, Rochester, NY, USA

4. Department of English, College of Arts and Literature, University of Ha’il, Ha’il, Saudi Arabia

5. School of IT and Engineering, Melbourne Institute of Technology, Melbourne, VIC, Australia

Funder

University of Ha’il, Ha’il, Saudi Arabia, under Grant

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09850995.pdf?arnumber=9850995

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