Comparative Analysis of Machine Learning Models in Predicting Academic Outcomes: Insights and Implications for Educational Data Analytics-Reference-Cited by-同舟云学术

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Comparative Analysis of Machine Learning Models in Predicting Academic Outcomes: Insights and Implications for Educational Data Analytics

Published:2024-05-03 Issue: Volume:62 Page:1-7
ISSN:
Container-title:2024 International Conference on Smart Systems for applications in Electrical Sciences (ICSSES)
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Author:

Maheshwari Abhishek¹,Malhotra Amit¹,Hada Bhupendra Singh²,Ranka Monica³,Basha Md Shaik Amzad⁴

Affiliation:

1. Christ (Deemed to be University),School of Commerce, Finance and Accountancy,Ghaziabad,India

2. CHRIST (Deemed to be University),School of Commerce, Finance and Accountancy,Delhi,NCR

3. Dayananda Sagar College of Arts, Science and Commerce Bengaluru,India

4. Gandhi Institute of Technology and Management (Deemed to be University) Bengaluru,GITAM School of Business,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10560480/10561248/10561260.pdf?arnumber=10561260

Reference28 articles.

1. Early dropout prediction using data mining: a case study with high school students

2. Dropout prediction in elearning courses through the combination of machine learning techniques.";Lykourentzou,2009

3. STUDENTS’ ACADEMIC PERFORMANCE AND DROPOUT PREDICTION

4. Prediction of students’ early dropout based on their interaction logs in online learning environment

5. Predictive Modeling of Student Behavior for Early Dropout Detection in Universities using Machine Learning Techniques

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