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Commentary—Applying Machine Learning in Science Assessment: Opportunity and Challenges
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2021
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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. |
author_sort | Krajcik, Joseph S. |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-7886604 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT krajcikjosephs commentaryapplyingmachinelearninginscienceassessmentopportunityandchallenges |