Cargando…
Predicting Student Performance and Deficiency in Mastering Knowledge Points in MOOCs Using Multi-Task Learning
Massive open online courses (MOOCs), which have been deemed a revolutionary teaching mode, are increasingly being used in higher education. However, there remain deficiencies in understanding the relationship between online behavior of students and their performance, and in verifying how well a stud...
Autores principales: | Qu, Shaojie, Li, Kan, Wu, Bo, Zhang, Xuri, Zhu, Kaihao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514561/ http://dx.doi.org/10.3390/e21121216 |
Ejemplares similares
-
Design of Automatic Extraction Algorithm of Knowledge Points for MOOCs
por: Chen, Haijian, et al.
Publicado: (2015) -
To MOOC or Not to MOOC
por: Porter, Sarah
Publicado: (2015) -
To MOOC or not to MOOC : how can online learning help to build the future of higher education? /
por: Porter, Sarah
Publicado: (2015) -
Negotiating scientific knowledge in the development of an eHealth MOOC
por: Gilstad, Heidi, et al.
Publicado: (2022) -
Study on MOOC scoring algorithm based on Chinese University MOOC learning behavior data
por: Luo, Yong, et al.
Publicado: (2018)