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Commentary—Applying Machine Learning in Science Assessment: Opportunity and Challenges

Detalles Bibliográficos
Autor principal: Krajcik, Joseph S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7886604/
https://www.ncbi.nlm.nih.gov/pubmed/33613020
http://dx.doi.org/10.1007/s10956-021-09902-7
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author Krajcik, Joseph S.
author_facet Krajcik, Joseph S.
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spelling pubmed-78866042021-02-17 Commentary—Applying Machine Learning in Science Assessment: Opportunity and Challenges Krajcik, Joseph S. J Sci Educ Technol Article Springer Netherlands 2021-02-17 2021 /pmc/articles/PMC7886604/ /pubmed/33613020 http://dx.doi.org/10.1007/s10956-021-09902-7 Text en © The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Krajcik, Joseph S.
Commentary—Applying Machine Learning in Science Assessment: Opportunity and Challenges
title Commentary—Applying Machine Learning in Science Assessment: Opportunity and Challenges
title_full Commentary—Applying Machine Learning in Science Assessment: Opportunity and Challenges
title_fullStr Commentary—Applying Machine Learning in Science Assessment: Opportunity and Challenges
title_full_unstemmed Commentary—Applying Machine Learning in Science Assessment: Opportunity and Challenges
title_short Commentary—Applying Machine Learning in Science Assessment: Opportunity and Challenges
title_sort commentary—applying machine learning in science assessment: opportunity and challenges
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7886604/
https://www.ncbi.nlm.nih.gov/pubmed/33613020
http://dx.doi.org/10.1007/s10956-021-09902-7
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