Difficulty level estimation of mathematics problems using machine learning
Author:
Affiliation:
1. Department of Mathematics, Mahidol University, Thailand
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3531232.3531266
Reference26 articles.
1. An Algorithm for Automatic Difficulty Level Estimation of Multimedia Mathematical Test Items
2. Foteini Grivokostopoulou , Isidoros Perikos , and Ioannis Hatzilygeroudis . “ Estimating the Difficulty of Exercises on Search Algorithms Using a Neuro-Fuzzy Approach ”. In: (2015) , pp. 866– 872 . DOI: 10.1109/ICTAI.2015.126. 10.1109/ICTAI.2015.126 Foteini Grivokostopoulou, Isidoros Perikos, and Ioannis Hatzilygeroudis. “Estimating the Difficulty of Exercises on Search Algorithms Using a Neuro-Fuzzy Approach”. In: (2015), pp. 866–872. DOI: 10.1109/ICTAI.2015.126.
3. Automated estimation of item difficulty for multiple-choice tests: An application of word embedding techniques
4. An adaptive neuro-fuzzy model for prediction of student’s academic performance
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