Predicting examinee performance based on a fuzzy cloud cognitive diagnosis framework in e-learning environment

The score profiles could be used to measure learners’ skills proficiency via cognitive diagnosis models (CDMs) for predicting their performance in the future examination. The prediction results could provide important decision-making supports for personalized e-learning instruction. However, facing...

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Detalles Bibliográficos
Autores principales: Ma, Hua, Huang, Zhuoxuan, Zhu, Haibin, Tang, WenSheng, Zhang, Hongyu, Li, Keqin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Application of Soft Computing
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10108817/
https://www.ncbi.nlm.nih.gov/pubmed/37362284
http://dx.doi.org/10.1007/s00500-023-08100-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10108817/
https://www.ncbi.nlm.nih.gov/pubmed/37362284
http://dx.doi.org/10.1007/s00500-023-08100-4

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