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Evidence centered design framework and dynamic bayesian network for modeling learning progression in online assessment systemoa mark
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Publication Year
2022-07-22
Publisher
Frontiers Media S.A.
Citation
Frontiers in Psychology, Vol.13
Keyword
assessmentdynamic bayesian networksevidence-centered designlearning analyticslearning progressions
All Science Classification Codes (ASJC)
Psychology (all)
Abstract
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.
ISSN
1664-1078
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/32833
DOI
https://doi.org/10.3389/fpsyg.2022.742956
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Type
Article
Funding
This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2019S1A5A2A03052192).
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Choi, Younyoung  Image
Choi, Younyoung 최윤영
Department of Psychology
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