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KMID : 0363620220430020027
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Journal of Korean Oriental Medicine
2022 Volume.43 No. 2 p.27 ~ p.41
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Study on the Academic Competency Assessment of Herbology Test using Rasch Model
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Chae Han
Lee Soo-Jin
Han Chang-Ho
Cho Young-Il
Kim Hyung-Woo
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Abstract
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Objectives: There should be an objective analysis on the academic competency for incorporating Computer-based Test (CBT) in the education of traditional Korean medicine (TKM). However, the Item Response Theory (IRT) for analyzing latent competency has not been introduced for its difficulty in calculation, interpretation and utilization.
Methods: The current study analyzed responses of 390 students of 8 years to the herbology test with 14 items by utilizing Rasch model, and the characteristics of test and items were evaluated by using characteristic curve, information curve, difficulty, academic competency, and test score. The academic competency of the students across gender and years were presented with scale characteristic curve, Kernel density map, and Wright map, and examined based on T-test and ANOVA.
Results: The estimated item, test, and ability parameters based on Rasch model provided reliable information on academic competency, and organized insights on students, test and items not available with test score calculated by the summation of item scores. The test showed acceptable validity for analyzing academic competency, but some of items revealed difficulty parameters to be modified with Wright map. The gender difference was not distinctive, however the differences between test years were obvious with Kernel density map.
Conclusion: The current study analyzed the responses in the herbology test for measuring academic competency in the education of TKM using Rasch model, and structured analysis for competency-based Teaching in the e-learning era was suggested. It would provide the foundation for the learning analytics essential for self-directed learning and competency adaptive learning in TKM.
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KEYWORD
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Academic competency, Competency-based Test (CBT), Evidence-based Teaching (EBT), Herbology, Learning analytics, Rasch model
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