Is it time we get real? A systematic review of the potential of data-driven technologies to address teachers' implicit biases

Data-driven technologies for education, such as artificial intelligence in education (AIEd) systems, learning analytics dashboards, open learner models, and other applications, are often created with an aspiration to help teachers make better, evidence-informed decisions in the classroom. Addressing...

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Detalles Bibliográficos
Autores principales: Gauthier, Andrea, Rizvi, Saman, Cukurova, Mutlu, Mavrikis, Manolis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592763/
https://www.ncbi.nlm.nih.gov/pubmed/36304958
http://dx.doi.org/10.3389/frai.2022.994967

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592763/
https://www.ncbi.nlm.nih.gov/pubmed/36304958
http://dx.doi.org/10.3389/frai.2022.994967

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