Cargando…
Educational Data Mining Techniques for Student Performance Prediction: Method Review and Comparison Analysis
Student performance prediction (SPP) aims to evaluate the grade that a student will reach before enrolling in a course or taking an exam. This prediction problem is a kernel task toward personalized education and has attracted increasing attention in the field of artificial intelligence and educatio...
Autores principales: | Zhang, Yupei, Yun, Yue, An, Rui, Cui, Jiaqi, Dai, Huan, Shang, Xuequn |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8688359/ https://www.ncbi.nlm.nih.gov/pubmed/34950079 http://dx.doi.org/10.3389/fpsyg.2021.698490 |
Ejemplares similares
-
Corrigendum: Educational Data Mining Techniques for Student Performance Prediction: Method Review and Comparison Analysis
por: Zhang, Yupei, et al.
Publicado: (2022) -
An MRI Study on Effects of Math Education on Brain Development Using Multi-Instance Contrastive Learning
por: Zhang, Yupei, et al.
Publicado: (2021) -
Self-paced graph memory for learner GPA prediction and it’s application in learner multiple evaluation
por: Yun, Yue, et al.
Publicado: (2023) -
Using Data Mining Approach for Student Satisfaction With Teaching Quality in High Vocation Education
por: Chen, Bailin, et al.
Publicado: (2022) -
Effects of Knowledge Hiding in Dual Teaching Methods on Students’ Performance—Evidence From Physical Education Department Students
por: Xu, Qingxiang, et al.
Publicado: (2022)