Alternatively Assessing Conceptual Learning in an Emergency Clinical Environment¡ªA Mixed Methods Design

Zhidong Zhang and Alice Yang Zhang
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Zhidong Zhang: The University of Texas-Rio Grande Valley
Alice Yang Zhang: The University of North Carolina at Chapel-Hill

Journal of Education and Development, 2020, vol. 4, issue 2, 27-37

Abstract: Modeling cognitive processes in clinical learning environments is a necessary first step towards improving learning assessment and medical practice by using an alternative assessment model. Verbal protocol and cognitive content analyses are effective methods of exploring such cognitive processes. For the purpose of simplifying the discussion, we have labeled these processes as Identification of Information, Advanced Cognition, and Medical Cognitive Action. Exploring problem solving processes with Bayesian network techniques can characterize students' dynamic learning processes quantitatively, identify differences in cognitive components at different stages of learning and better represent clinical problem solving features. We develop a hierarchical cognitive model as a cognitive assessment tool to describe the complex cognitive network relations, which can be applied to various clinical cognitive situations. The study concludes that the cognitive model was useful in identifying students' learning trajectories by representing the different cognitive features.

Keywords: cognitive process; clinical learning environment; Bayesian network model (search for similar items in EconPapers)
JEL-codes: I21 I24 J13 Z13 (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:cxp:jededu:v:4:y:2020:i:2:p:27-37

DOI: 10.20849/jed.v4i2.744

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