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...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-07-01
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| Series: | Frontiers in Psychology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2022.742956/full |
| _version_ | 1818190635527569408 |
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| author | Younyoung Choi Robert J. Mislevy |
| author_facet | Younyoung Choi Robert J. Mislevy |
| author_sort | Younyoung Choi |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-12T00:01:51Z |
| format | Article |
| id | doaj.art-9da655b578534640b8f4f95a3fb9ac97 |
| institution | Directory Open Access Journal |
| issn | 1664-1078 |
| language | English |
| last_indexed | 2024-12-12T00:01:51Z |
| publishDate | 2022-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychology |
| spelling | doaj.art-9da655b578534640b8f4f95a3fb9ac972022-12-22T00:45:12ZengFrontiers Media S.A.Frontiers in Psychology1664-10782022-07-011310.3389/fpsyg.2022.742956742956Evidence centered design framework and dynamic bayesian network for modeling learning progression in online assessment systemYounyoung Choi0Robert J. Mislevy1Department of Psychology, Ajou University, Suwon, South KoreaDepartment of Human Development and Quantitative Methodology, University of Maryland at College Park, College Park, MD, United StatesAn 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.https://www.frontiersin.org/articles/10.3389/fpsyg.2022.742956/fulldynamic bayesian networksevidence-centered designassessmentlearning progressionslearning analytics |
| spellingShingle | Younyoung Choi Robert J. Mislevy Evidence centered design framework and dynamic bayesian network for modeling learning progression in online assessment system Frontiers in Psychology dynamic bayesian networks evidence-centered design assessment learning progressions learning analytics |
| 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 | dynamic bayesian networks evidence-centered design assessment learning progressions learning analytics |
| url | https://www.frontiersin.org/articles/10.3389/fpsyg.2022.742956/full |
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