A Systematic Review of Data-Driven Approaches to Item Difficulty Prediction

Author:

AlKhuzaey SamahORCID,Grasso FlorianaORCID,Payne Terry R.ORCID,Tamma ValentinaORCID

Publisher

Springer International Publishing

Cited by 6 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. Item Difficulty Prediction Using Item Text Features: Comparison of Predictive Performance across Machine-Learning Algorithms;Mathematics;2023-09-28

2. Text-based Question Difficulty Prediction: A Systematic Review of Automatic Approaches;International Journal of Artificial Intelligence in Education;2023-09-08

3. Proactive and reactive engagement of artificial intelligence methods for education: a review;Frontiers in Artificial Intelligence;2023-05-05

4. Multiple-Choice Questions Difficulty Prediction with Neural Networks;Methodologies and Intelligent Systems for Technology Enhanced Learning, 13th International Conference;2023

5. A Quantitative Study of NLP Approaches to Question Difficulty Estimation;Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky;2023

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