Student academic success prediction in multimedia-supported virtual learning system using ensemble learning approach-Reference-Cited by-同舟云学术

Student academic success prediction in multimedia-supported virtual learning system using ensemble learning approach

Published:2024-03-18 Issue: Volume: Page:
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Saidani Oumaima,Umer Muhammad^ORCID,Alshardan Amal,Alturki Nazik,Nappi Michele,Ashraf Imran

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11042-024-18669-z.pdf

Reference69 articles.

1. Al-araibi AAM, Mahrin MNb, Yusoff RCM (2019) Technological aspect factors of e-learning readiness in higher education institutions: Delphi technique. Educ Inform Technol 24:567–590

2. Ali AD, Hanna WK (2022) Predicting students’ achievement in a hybrid environment through self-regulated learning, log data, and course engagement: A data mining approach. J Educ Comput Res 60(4):960–985

3. Almaiah MA, Al-Khasawneh A, Althunibat A (2020) Exploring the critical challenges and factors influencing the e-learning system usage during covid-19 pandemic. Educ Inform Technol 25:5261–5280

4. Anala VASM, Bhumireddy G (2022) Comparison of machine learning algorithms on detecting the confusion of students while watching moocs. Master’s thesis

5. Ashraf I, Narra M, Umer M et al (2022) A deep learning-based smart framework for cyber-physical and satellite system security threats detection. Electronics 11(4):667

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. A novel deep learning approach (Bi-xBcNet-96) considering green AI to discover breast cancer using mammography images;Neural Computing and Applications;2024-05-17