Performance analysis of study material recommendation system to reduce dropout in online learning using optimal behavior prediction cluster and online poll bot-Reference-Cited by-同舟云学术

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Performance analysis of study material recommendation system to reduce dropout in online learning using optimal behavior prediction cluster and online poll bot

Published:2023-07-19 Issue: Volume: Page:1-22
ISSN:1049-4820
Container-title:Interactive Learning Environments
language:en
Short-container-title:Interactive Learning Environments

Author:

S. Sageengrana¹^ORCID,S. Selvakumar²,S. Srinivasan³

Affiliation:

1. Anna University Research Scholar, Information Technology, Sathyabama Institute of Science and Technology, Chennai, India

2. Computer Science and Engineering, Visvesvaraya College of Engineering Technology, Hyderabad, India

3. Computer Science and Engineering, R.M.D Engineering College, Gummidipoondi, India

Publisher

Informa UK Limited

Subject

Computer Science Applications,Education

Link

https://www.tandfonline.com/doi/pdf/10.1080/10494820.2023.2232823

Reference62 articles.

1. A Comparison of Natural Language Understanding Platforms for Chatbots in Software Engineering

2. Predicting Student Performance and Its Influential Factors Using Hybrid Regression and Multi-Label Classification

3. Range clustering: An algorithm for empirical evaluation of classical clustering algorithms

4. Enhancing the prediction of student performance based on the machine learning XGBoost algorithm

5. Investigating the Effect of Chatbot-to-User Questions and Directives on Student Participation

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