Students' performance on engineering mathematics: Applying rasch measurement model
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/6661500/6670995/06671040.pdf?arnumber=6671040
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. Analysis of students performance based on the assessments using novel classification technique of decision tree comparing with logistic regression;AIP Conference Proceedings;2024
2. Validate students performance based on enrolled module using classification technique of novel naive bayes comparing with logistic regression;INTERNATIONAL CONFERENCE ON SCIENCE, ENGINEERING, AND TECHNOLOGY 2022: Conference Proceedings;2023
3. Using the Ensemble Approach, Predict Students' Achievement;2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART);2022-12-16
4. Student performance Prediction using Ensemble Technique;2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS);2022-03-25
5. Application of Rasch Measurement Model in Evaluating Student Performance for Foundation of Computing II;7th International Conference on University Learning and Teaching (InCULT 2014) Proceedings;2016
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