Cargando…
Identifying learners’ topical interests from social media content to enrich their course preferences in MOOCs using topic modeling and NLP techniques
Interests play an essential role in the process of learning, thereby enriching learners ‘interests will yield to an enhanced experience in MOOCs. Learners interact freely and spontaneously on social media through different forms of user-generated content which contain hidden information that reveals...
Autores principales: | Zankadi, Hajar, Idrissi, Abdellah, Daoudi, Najima, Hilal, Imane |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9638446/ https://www.ncbi.nlm.nih.gov/pubmed/36373041 http://dx.doi.org/10.1007/s10639-022-11373-1 |
Ejemplares similares
-
Intelligent Topical Sentiment Analysis for the Classification of E-Learners and Their Topics of Interest
por: Ravichandran, M., et al.
Publicado: (2015) -
Psychometrics of MOOCs: Measuring Learners’ Proficiency
por: Abbakumov, Dmitry, et al.
Publicado: (2020) -
Motivation Classification and Grade Prediction for MOOCs Learners
por: Xu, Bin, et al.
Publicado: (2016) -
Study Partners Recommendation for xMOOCs Learners
por: Xu, Bin, et al.
Publicado: (2015) -
Who will pass? Analyzing learner behaviors in MOOCs
por: Tseng, Shu-Fen, et al.
Publicado: (2016)