Predicting Learning Styles Using Machine Learning Classifiers-Reference-Cited by-同舟云学术

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Predicting Learning Styles Using Machine Learning Classifiers

Published:2022-07-20 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)
language:
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Author:

Assiry Khadeja Ali Hamamy¹,Muniasamy Anandhavalli¹

Affiliation:

1. King Khalid University,College of Computer Science,Abha,KSA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9872524/9872533/09872971.pdf?arnumber=9872971

Reference40 articles.

1. LEARNING STYLE DETECTION USING K-MEANS CLUSTERING

2. Ensemble Learning Using Fuzzy Weights to Improve Learning Style Identification for Adapted Instructional Routines

3. A fuzzy classification approach for learning style prediction based on web mining technique in e-learning environments

4. An adaptive mechanism for Moodle based on automatic detection of learning styles

5. Students' learning style detection using tree augmented naive Bayes

Cited by 2 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. Adaptive learning in programming education: A systematic mapping of the literature;2023 IEEE Frontiers in Education Conference (FIE);2023-10-18

2. Personalized Adaptive Learning Technologies Based on Machine Learning Techniques to Identify Learning Styles: A Systematic Literature Review;IEEE Access;2023

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