Higher education student dropout prediction and analysis through educational data mining-Reference-Cited by-同舟云学术

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Higher education student dropout prediction and analysis through educational data mining

Published:2018-01 Issue: Volume: Page:
ISSN:
Container-title:2018 2nd International Conference on Inventive Systems and Control (ICISC)
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Author:

Hegde Vinayak,Prageeth P. P.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8390718/8398856/08398887.pdf?arnumber=8398887

Cited by 45 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. Using a generative AI chatbot for SRL measurement and intervention;2024 International Symposium on Computers in Education (SIIE);2024-06-19

2. Improving the Automatic Detection of Dropout Risk in Middle and High School Students: A Comparative Study of Feature Selection Techniques;Mathematics;2024-06-07

3. Early prediction models and crucial factor extraction for first-year undergraduate student dropouts;Journal of Applied Research in Higher Education;2024-03-19

4. A hybrid approach for early-identification of at-risk dropout students using LSTM-DNN networks;Education and Information Technologies;2024-03-14

5. Investigação da Evasão Estudantil por meio da Mineração de Dados e Aprendizagem de Máquina: Um Mapeamento Sistemático;Revista Brasileira de Informática na Educação;2024-03-10

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