AISAR: Artificial Intelligence-Based Student Assessment and Recommendation System for E-Learning in Big Data
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References listed on IDEAS
- Miroslava Raspopovic & Aleksandar Jankulovic, 2017. "Performance measurement of e-learning using student satisfaction analysis," Information Systems Frontiers, Springer, vol. 19(4), pages 869-880, August.
- Xuesong Zhai & Xiaoyan Chu & Ching Sing Chai & Morris Siu Yung Jong & Andreja Istenic & Michael Spector & Jia-Bao Liu & Jing Yuan & Yan Li & Ning Cai, 2021. "A Review of Artificial Intelligence (AI) in Education from 2010 to 2020," Complexity, Hindawi, vol. 2021, pages 1-18, April.
- Jiabo Tan & Naeem Jan, 2022. "Information Analysis of Advanced Mathematics Education-Adaptive Algorithm Based on Big Data," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-9, March.
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- Ali Çetinkaya & Ömer Kaan Baykan & Havva Kırgız, 2023. "Analysis of Machine Learning Classification Approaches for Predicting Students’ Programming Aptitude," Sustainability, MDPI, vol. 15(17), pages 1-16, August.
- Dunhong Yao & Xian Zhang & Yiwen Liu, 2022. "Teaching Reform in C Programming Course from the Perspective of Sustainable Development: Construction and 9-Year Practice of “Three Classrooms–Four Integrations–Five Combinations” Teaching Model," Sustainability, MDPI, vol. 14(22), pages 1-22, November.
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Keywords
artificial intelligence; clustering; map-reduce; recommendation system; student assessment;All these keywords.
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