Comparing the prediction performance of item response theory and machine learning methods on item responses for educational assessments

To obtain more accurate and robust feedback information from the students’ assessment outcomes and to communicate it to students and optimize teaching and learning strategies, educational researchers and practitioners must critically reflect on whether the existing methods of data analytics are capa...

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Detalles Bibliográficos
Autores principales: Park, Jung Yeon, Dedja, Klest, Pliakos, Konstantinos, Kim, Jinho, Joo, Sean, Cornillie, Frederik, Vens, Celine, Van den Noortgate, Wim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9275388/
https://www.ncbi.nlm.nih.gov/pubmed/35819719
http://dx.doi.org/10.3758/s13428-022-01910-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9275388/
https://www.ncbi.nlm.nih.gov/pubmed/35819719
http://dx.doi.org/10.3758/s13428-022-01910-8

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