A machine learning approach to Predict the Engineering Students at risk of dropout and factors behind: Bangladesh Perspective-Reference-Cited by-同舟云学术

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A machine learning approach to Predict the Engineering Students at risk of dropout and factors behind: Bangladesh Perspective

Published:2019-07 Issue: Volume: Page:
ISSN:
Container-title:2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)
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Author:

Ahmed Sheikh Arif,Khan Shahidul Islam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8932651/8944341/08944511.pdf?arnumber=8944511

Cited by 11 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. Estudo sobre a evasão de alunos do curso de engenharia de produção da Universidade Federal Fluminense - Campus Rio das Ostras;Caderno Pedagógico;2024-07-09

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. Fairness of Academic Performance Prediction for the Distribution of Support Measures for Students: Differences in Perceived Fairness of Distributive Justice Norms;Technology, Knowledge and Learning;2023-11-11

4. Effect of flipped classroom and automatic source code evaluation in a CS1 programming course according to the Kirkpatrick evaluation model;Education and Information Technologies;2023-03-24

5. Analysing University at-Risk Students in a Virtual Learning Environment using Machine Learning Algorithms;2023 Conference on Information Communications Technology and Society (ICTAS);2023-03

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