Unlocking Enigmatic Pathways: Empowering Student Dropout Analysis with Machine Learning and Energizing Holistic Investigation-Reference-Cited by-同舟云学术

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Unlocking Enigmatic Pathways: Empowering Student Dropout Analysis with Machine Learning and Energizing Holistic Investigation

Published:2024-04-05 Issue: Volume:10 Page:1-7
ISSN:
Container-title:2024 IEEE 9th International Conference for Convergence in Technology (I2CT)
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Author:

Patel Dhruvkumar¹,Savaj Kovil¹,Malani Prince¹,Patel Jay¹,Trivedi Himani²

Affiliation:

1. LDRP Institute of Technology and Research Kadi Sarva Vishwavidyalaya, Sarva Vidyalaya Kelavani Mandal,Information Technology,Gandhinagar,India

2. LDRP Institute of Technology and Research Kadi Sarva Vishwavidyalaya, Sarva Vidyalaya Kelavni Mandal,Computer Engineering,Gandhinagar,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10543249/10543223/10543438.pdf?arnumber=10543438

Reference10 articles.

1. How many students are at risk of not returning to school?,2020

2. Towards Predicting Student’s Dropout in Higher Education Using Supervised Machine Learning Techniques

3. Student dropout prediction using machine learning techniques;Dasi;International Journal of Intelligent Systems and Applications in Engineering,2022

4. All-Year Dropout Prediction Modeling and Analysis for University Students

5. Student Dropout Prediction for University with High Precision and Recall

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