On the Validity of Machine Learning-based Next Generation Science Assessments: A Validity Inferential Network-Reference-Cited by-同舟云学术

On the Validity of Machine Learning-based Next Generation Science Assessments: A Validity Inferential Network

Published:2021-01-12 Issue:2 Volume:30 Page:298-312
ISSN:1059-0145
Container-title:Journal of Science Education and Technology
language:en
Short-container-title:J Sci Educ Technol

Author:

Zhai Xiaoming^ORCID,Krajcik Joseph,Pellegrino James W.

Funder

Chan Zuckerberg Initiative

National Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

General Engineering,Education

Link

http://link.springer.com/content/pdf/10.1007/s10956-020-09879-9.pdf

Reference56 articles.

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4. Anderson, C. W., et al. (2018). Designing educational systems to support enactment of the Next Generation Science Standards. Journal of Research in Science Teaching, 55(7), 026–1052.

5. Beggrow, E. P., Ha, M., Nehm, R. H., Pearl, D., & Boone, W. J. (2014). Assessing scientific practices using machine-learning methods: How closely do they match clinical interview performance? Journal of Science Education and Technology, 23(1), 160–182.

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