Cargando…
Exploring Behavioral Patterns for Data-Driven Modeling of Learners' Individual Differences
Educational data mining research has demonstrated that the large volume of learning data collected by modern e-learning systems could be used to recognize student behavior patterns and group students into cohorts with similar behavior. However, few attempts have been done to connect and compare beha...
Autores principales: | Akhuseyinoglu, Kamil, Brusilovsky, Peter |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8886211/ https://www.ncbi.nlm.nih.gov/pubmed/35243337 http://dx.doi.org/10.3389/frai.2022.807320 |
Ejemplares similares
-
Teaching Multiple Inverse Reinforcement Learners
por: Melo, Francisco S., et al.
Publicado: (2021) -
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing
por: Tripathi, Shailesh, et al.
Publicado: (2021) -
A panoramic view of personalization based on individual differences in persuasive and behavior change interventions
por: Alslaity, Alaa, et al.
Publicado: (2023) -
AI Data-Driven Personalisation and Disability Inclusion
por: Wald, Mike
Publicado: (2021) -
Targeted Screening for Alzheimer's Disease Clinical Trials Using Data-Driven Disease Progression Models
por: Oxtoby, Neil P., et al.
Publicado: (2022)