Education 4.0: Explainable Machine Learning for Classification of Student Adaptability-Reference-Cited by-同舟云学术

Education 4.0: Explainable Machine Learning for Classification of Student Adaptability

Published:2022-10-25 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Data Analytics for Business and Industry (ICDABI)
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Author:

Tiwari Raj Gaurang¹,Jain Anuj Kumar¹,Kukreja Vinay¹,Ujjwal Neha¹

Affiliation:

1. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10041434/10041254/10041636.pdf?arnumber=10041636

Reference14 articles.

1. Predicting the Acceptance of Mobile Learning Applications During COVID-19 Using Machine Learning Prediction Algorithms

2. Students’ Adaptability Level Prediction in Online Education using Machine Learning Approaches;suzan;2021 12th International Conference on Computing Communication and Networking Technologies ICCCNT 2021,2021

3. Explainable Artificial Intelligence in education

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

5. Education 4.0 – Jump to Innovation with IoT in Higher Education

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