Enhancing Online Learning: A Comparative Analysis of Machine Learning Models and Data Visualization Techniques for Predicting Learner Flexibility-Reference-Cited by-同舟云学术

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Enhancing Online Learning: A Comparative Analysis of Machine Learning Models and Data Visualization Techniques for Predicting Learner Flexibility

Published:2023-12-14 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)
language:
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Author:

Priya P. Kanaga¹,Suguna R.K.¹,Sujitha S.²,Devi G.³,Nandhini D.⁴,Kalyan G. Ramesh³

Affiliation:

1. KPR Institute of Engineering and Technology,Department of Computer Science and Engineering,Coimbatore,India

2. Kongu Engineering College,Department of Computer Science and Engineering,Erode,India

3. SNS College of Technology,Department of Computer Science and Engineering,Coimbatore,India

4. SNS College of Engineering,Department of Computer Science and Technology,Coimbatore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10464384/10465267/10465487.pdf?arnumber=10465487

Reference18 articles.

1. Students;Hasan Suzan

2. Analyzing and Predicting Students’ Performance by Means of Machine Learning: A Review

3. A systematic literature review of student;Albreiki;performance prediction using machine learning techniques," Education Sciences,2021

4. Comparison of Predictive Machine Learning Models to Predict the Level of Adaptability of Students in Online Education

5. The role of contemporary digital tools and technologies in Covid‐19 crisis: An exploratory analysis

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