Exploring the affordances of Bayesian networks for modeling usable knowledge and knowledge use in te...
Exploring the affordances of Bayesian networks for modeling usable knowledge and knowledge use in teaching
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Language
English
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Contents
In this article we propose the use of Bayesian networks as a potentially promising way to model usable knowledge. Using the Classroom Video Analysis (CVA and CVA-M) assessments as a lab model for studying teachers’ usable knowledge, we first explored whether we can identify the knowledge (pieces) underlying teachers’ written responses. In the CVA a...
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Full title
Exploring the affordances of Bayesian networks for modeling usable knowledge and knowledge use in teaching
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TN_cdi_proquest_journals_2918759442
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2918759442
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ISSN
1863-9690
E-ISSN
1863-9704
DOI
10.1007/s11858-020-01135-z
