A review on Student Performance Prediction using Educational Data mining and Artificial Intelligence
Author:
Affiliation:
1. Symbiosis International (Deemed University),Pune,India
2. Symbiosis International (Deemed University),Symbiosis Institute of Computer Studies & Research,Pune,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9768306/9768311/09768773.pdf?arnumber=9768773
Reference61 articles.
1. Evaluating teaching performance based on fuzzy AHP and comprehensive evaluation approach
2. Perception based performance analysis of higher education institutions: a soft computing approach
3. Student Academic Performance Prediction using Supervised Learning Techniques
4. A Study of Feature Selection Algorithms for Predicting Students Academic Performance
5. An exploratory study of factors affecting undergraduate employability
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1. Predicting students’ academic progress and related attributes in first-year medical students: an analysis with artificial neural networks and Naïve Bayes;BMC Medical Education;2024-01-19
2. Beyond Scores: A Novel Method for Predicting Student Performance Based on Rank and Positional Embedding;2023 10th International Conference on Behavioural and Social Computing (BESC);2023-10-30
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