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0577144 - ÚI 2024 RIV CH eng J - Journal Article
Štěpánek, Lubomír - Dlouhá, Jana - Martinková, Patrícia
Item Difficulty Prediction Using Item Text Features: Comparison of Predictive Performance across Machine-Learning Algorithms.
Mathematics. Roč. 11, č. 19 (2023), č. článku 4104. ISSN 2227-7390
R&D Projects: GA ČR(CZ) GA21-03658S
Institutional support: RVO:67985807
Keywords : text-based item difficulty prediction * text features and item wording * machine learning * regularization methods * elastic net regression * support vector machines * regression and decision trees * random forests * neural networks * algorithm vs. domain expert’s prediction performance
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 2.4, year: 2022
Method of publishing: Open access
https://dx.doi.org/10.3390/math11194104
Permanent Link: https://hdl.handle.net/11104/0346365