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Evidence centered design framework and dynamic bayesian network for modeling learning progression in online assessment system
An overarching mission of the educational assessment community today is strengthening the connection between assessment and learning. To support this effort, researchers draw variously on developments across technology, analytic methods, assessment design frameworks, research in learning domains, an...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9353737/ https://www.ncbi.nlm.nih.gov/pubmed/35936270 http://dx.doi.org/10.3389/fpsyg.2022.742956 |
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author | Choi, Younyoung Mislevy, Robert J. |
author_facet | Choi, Younyoung Mislevy, Robert J. |
author_sort | Choi, Younyoung |
collection | PubMed |
description | An overarching mission of the educational assessment community today is strengthening the connection between assessment and learning. To support this effort, researchers draw variously on developments across technology, analytic methods, assessment design frameworks, research in learning domains, and cognitive, social, and situated psychology. The study lays out the connection among three such developments, namely learning progressions, evidence-centered assessment design (ECD), and dynamic Bayesian modeling for measuring students’ advancement along learning progression in a substantive domain. Their conjunction can be applied in both formative and summative assessment uses. In addition, this study conducted an application study in domain of beginning computer network engineering for illustrating the ideas with data drawn from the Cisco Networking Academy’s online assessment system. |
format | Online Article Text |
id | pubmed-9353737 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93537372022-08-06 Evidence centered design framework and dynamic bayesian network for modeling learning progression in online assessment system Choi, Younyoung Mislevy, Robert J. Front Psychol Psychology An overarching mission of the educational assessment community today is strengthening the connection between assessment and learning. To support this effort, researchers draw variously on developments across technology, analytic methods, assessment design frameworks, research in learning domains, and cognitive, social, and situated psychology. The study lays out the connection among three such developments, namely learning progressions, evidence-centered assessment design (ECD), and dynamic Bayesian modeling for measuring students’ advancement along learning progression in a substantive domain. Their conjunction can be applied in both formative and summative assessment uses. In addition, this study conducted an application study in domain of beginning computer network engineering for illustrating the ideas with data drawn from the Cisco Networking Academy’s online assessment system. Frontiers Media S.A. 2022-07-22 /pmc/articles/PMC9353737/ /pubmed/35936270 http://dx.doi.org/10.3389/fpsyg.2022.742956 Text en Copyright © 2022 Choi and Mislevy. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Choi, Younyoung Mislevy, Robert J. Evidence centered design framework and dynamic bayesian network for modeling learning progression in online assessment system |
title | Evidence centered design framework and dynamic bayesian network for modeling learning progression in online assessment system |
title_full | Evidence centered design framework and dynamic bayesian network for modeling learning progression in online assessment system |
title_fullStr | Evidence centered design framework and dynamic bayesian network for modeling learning progression in online assessment system |
title_full_unstemmed | Evidence centered design framework and dynamic bayesian network for modeling learning progression in online assessment system |
title_short | Evidence centered design framework and dynamic bayesian network for modeling learning progression in online assessment system |
title_sort | evidence centered design framework and dynamic bayesian network for modeling learning progression in online assessment system |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9353737/ https://www.ncbi.nlm.nih.gov/pubmed/35936270 http://dx.doi.org/10.3389/fpsyg.2022.742956 |
work_keys_str_mv | AT choiyounyoung evidencecentereddesignframeworkanddynamicbayesiannetworkformodelinglearningprogressioninonlineassessmentsystem AT mislevyrobertj evidencecentereddesignframeworkanddynamicbayesiannetworkformodelinglearningprogressioninonlineassessmentsystem |