Predicting academic performance of learners with the three domains of learning data using neuro-fuzzy model and machine learning algorithms

Author:

R. Parkavi,P. Karthikeyan,A. Sheik Abdullah

Publisher

Elsevier BV

Subject

General Engineering

Reference44 articles.

Cited by 5 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. Evaluating Factors Influencing Learner Satisfaction in Massive Open Online Course Selection: A Data-Driven Approach Using Machine Learning;Arabian Journal for Science and Engineering;2024-07-02

2. Harnessing Uncertainty: Integrating Fuzzy Logic into Machine Learning Algorithms;2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN);2024-05-03

3. Harnessing machine learning tools for water quality assessment in the Kebili shallow aquifers, Southwestern Tunisia;Acta Geochimica;2024-04-30

4. FUZZY LOGIC APPROACH FOR PREDICTING STUDENT ACHIEVEMENT IN SCRATCH;Konya Journal of Engineering Sciences;2024-02-26

5. Using Machine Learning-based Algorithms to Predict Academic Performance - A Systematic Literature Review;2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM);2024-02-21

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