DOI QR코드

DOI QR Code

Study on the Academic Competency Assessment of Herbology Test using Rasch Model

라쉬 모델을 사용한 본초학 시험의 학업역량 분석 연구

  • Chae, Han (School of Korean Medicine, Pusan National University) ;
  • Lee, Soo Jin (Department of Psychology, Kyungsung University) ;
  • Han, Chang-ho (Department of Internal Medicine, College of Korean Medicine, Dongguk University) ;
  • Cho, Young Il (Division of Police Administration, College of Law and Police, Dongguk University) ;
  • Kim, Hyungwoo (School of Korean Medicine, Pusan National University)
  • Received : 2022.03.31
  • Accepted : 2022.05.06
  • Published : 2022.06.01

Abstract

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.

Keywords

Acknowledgement

본 연구는 부산대학교의 연구비지원을 받았음

References

  1. Huh, S. (2014). Computer-based testing and construction of an item bank database for medical education in korea. Korean Med Educ Rev. 16(1). 11-15. https://doi.org/10.17496/kmer.2014.16.1.011
  2. Lee, C. K., Park, J. S., Lee, E., Lee, S. J., Park, E. S. & Park, Y. J. (2001). A comparative study of item analysis by item response theory based for initiating cat (computer adaptive test) system. Korean J Med Educ. 13(1). 107-115. https://doi.org/10.3946/kjme.2001.13.1.107
  3. Park, J. H., Son, J. Y. & Kim, S. (2012). Experiences with establishing and implementing learning management system and computer-based test system in medical college. Korean J Med Educ. 24(3). 213-222. https://doi.org/10.3946/kjme.2012.24.3.213
  4. Im, E.-J., Lee, W.-K., Lee, Y.-C., Choe, B.-H., Chung, S.-K., Lee, T.-H., et al. (2008). Development of computer-based test (cbt) and student recognition survey on cbt. Korean J Med Educ. 20(2). 145-154. https://doi.org/10.3946/kjme.2008.20.2.145
  5. Jeong, G.-H. & Yim, M. K. (2005). Applicability of item response theory to the korean nurses' licensing examination. J Educ Eval Health Prof. 2(23-29. https://doi.org/10.3352/jeehp.2005.2.1.23
  6. Korea Health Personnel Licensing Examination Institute. Computer based test. Available from: https://www.kuksiwon.or.kr/cnt/c_2033/view.do?seq=11
  7. Choi, Y.-J. & Asiilkalkan, A. (2019). R package for item response theory analysis: Description and features. Measurement: Interdisciplinary research and perspectives. 17(3). 168-175. https://doi.org/10.1080/15366367.2019.1586404
  8. Meyer, J. P. (2014). Applied measurement with jmetrik. New York: Routledge.
  9. Seong, T.-J. (2006). A propose for individualized comprehensive evaluation system. J Curric Eval. 9(2). 121-138. https://doi.org/10.29221/jce.2006.9.2.121
  10. Chae, H., Han, S. Y., Yang, G. & Kim, H. (2022). Study on the herbology test items in korean medicine education using item response theory. Kor J Herbology. 37(2). 13-21. https://doi.org/10.6116/kjh.2022.37.2.13.
  11. Kim, S. H., Han, S. Y., Kim, J. D., Choi, S., Lee, S. J., Lim, J. H., et al. (2015). Study on stress and burnout in medical education at the school of korean medicine. J Oriental Neuropsychiatry. 26(2). 103-116. https://doi.org/10.7231/jon.2015.26.2.103
  12. Short, E. c. (1985). The concept of competence: Its use and misuse in education. Journal of Teacher Education. 36(2). 2-6. https://doi.org/10.1177/002248718503600202
  13. Schauber, S. K., Hecht, M. & Nouns, Z. M. (2018). Why assessment in medical education needs a solid foundation in modern test theory. Adv in Health Sci Educ. 23(1). 217-232. https://doi.org/10.1007/s10459-017-9771-4
  14. Kim, Y. & Lim, C.-I. (2011). Competency-based medical education: Possibilities and limitations. KMER. 13(1). 13-23. https://doi.org/10.17496/kmer.2011.13.1.013
  15. Chae, H., Hwang, S., Kwon, Y., Baik, Y., Shin, S., Yang, G., et al. (2010). Study on the prerequisite chinese characters for education of traditional korean medicine. J Physiol & Pathol Korean Med 24(3). 373-379.
  16. Lee, Y., Kwak, M.-J., Jung, H., Ha, H.-y. & Chae, H. (2012). A study on the statistical methods used in kci listed journals of traditional korean medicine from 1999 to 2008. Korea Journal of Oriental Medicine. 18(2). 55-64.
  17. Lee, J., Han, J. H., Kim, M. S., Lee, H. S., Han, S. Y., Lee, S. J., et al. (2020). Teaching yin-yang biopsychology using the animation, "pororo the little penguin". Eur J Integr Med. 33(101037. https://doi.org/10.1016/j.eujim.2019.101037
  18. Gray, A. C., Steel, A. & Adams, J. (2019). A critical integrative review of complementary medicine education research: Key issues and empirical gaps. BMC Complement Altern Med. 19(1). 73. https://doi.org/10.1186/s12906-019-2466-z
  19. De Champlain, A. F. (2010). A primer on classical test theory and item response theory for assessments in medical education. Medical education. 44(1). 109-117. https://doi.org/10.1111/j.1365-2923.2009.03425.x
  20. Schauber, S. K. & Hecht, M. (2020). How sure can we be that a student really failed? On the measurement precision of individual pass-fail decisions from the perspective of item response theory. Medical Teacher. 42(12). 1374-1384. https://doi.org/10.1080/0142159X.2020.1811844
  21. Lee, S. Y., Lee, Y. & Kim, M. K. (2018). Effectiveness of medical education assessment consortium clinical knowledge mock examination (2011-2016). Korean Med Educ Rev. 20(1). 20-31. https://doi.org/10.17496/kmer.2018.20.1.20
  22. Lee, S., Lee, Y., Han, S. Y., Bae, N., Hwang, M., Lee, J., et al. (2020). Urinary function of the sasang type and cold-heat subgroup using the sasang urination inventory in korean hospital patients. Evid Based Complement Alternat Med. 2020(7313581. https://doi.org/10.1155/2020/7313581
  23. Chae, H., Cho, Y. I. & Lee, S. J. (2021). The yin-yang personality from biopsychological perspective using revised sasang personality questionnaire. Integr Med Res. 10(1). 100455. https://doi.org/10.1016/j.imr.2020.100455
  24. Lee, Y.-j., Lee, S., Kim, S.-h., Lee, J. & Chae, H. (2021). Study on the revision and clinical validation of the sasang digestive function inventory. J. 33(3). 54-71.
  25. Park, J. C. & Kim, K. S. (2012). A comparison between discrimination indices and item-response theory using the rasch model in a clinical course written examination of a medical school. Korean J Med Educ. 24(1). 15-21. https://doi.org/10.3946/kjme.2012.24.1.15
  26. Rasch, G. (1960). Probabilistic models for some intelligence and attainment tests. Danmarks Paedagogiske Institut.
  27. Aksu, G., GuZELLER, C. O. & Eser, M. T. (2019). Jmetrik: Classical test theory and item response theory data analysis software Journal of Measurement and Evaluation in Education and Psychology. 10(2). 165-178. https://doi.org/10.21031/epod.483396
  28. Park, J. C. & Kim, K. S. (2012). A comparison between discrimination indices and item- response theory using the rasch model in a clinical course written examination of a medical school. Korean J Med Educ. 24(1). https://doi.org/10.3946/kjme.2012.24.1.15
  29. Han, S. Y., Kim, H. Y., Lim, J. H., Cheon, J., Kwon, Y. K., Kim, H., et al. (2016). The past, present, and future of traditional medicine education in korea. Integr Med Res. 5(2). 73-82. https://doi.org/10.1016/j.imr.2016.03.003
  30. Yu, J.-S. (2019). Recommendation for development of clinical skill contents in the competency-based sasang constitutional medicine education. J Sasang Constitut Med. 31(4). 1-8. https://doi.org/10.7730/JSCM.2019.31.4.1
  31. Choi, J.-b. & Kim, Y.-j. (2018). A study on the education of medical classics through flipped learning. J Korean Med Classics. 31(2). 1-16. https://doi.org/10.14369/jkmc.2018.31.2.001
  32. Kim, H.-S., Yang, U.-h. & Na, C.-s. (2018). A study on the perception of international healthcare development cooperation of korean medicine students for competency-based clinical herbology education. Kor J Herbology. 33(5). 39-46. https://doi.org/10.6116/kjh.2018.33.5.39.
  33. Hong, J. & Kang, Y. (2018). The implications of the case of medical education in north america on korean medicine education. The Journal of Korean Medical History. 31(2). 91-101. https://doi.org/10.15521/JKMH.2018.31.2.091.
  34. Harris, P., Snell, L., Talbot, M. & Harden, R. M. (2010). Competency-based medical education: Implications for undergraduate programs. Med Teach. 32(8). 646-650. https://doi.org/10.3109/0142159x.2010.500703
  35. Lee, Y. B. (2013). The role of the concept of competence in korean outcome-based medical education. Korean Med Educ Rev. 15(3). 144-150. https://doi.org/10.17496/KMER.2013.15.3.144
  36. Koschmann, T. (1995). Medical education and computer literacy: Learning about, through, and with computers. Acad Med. 70(9). 818-821.
  37. Plch, L. (2020). Perception of technology-enhanced learning by medical students: An integrative review. Medical science educator. 30(4). 1707-1720. https://doi.org/10.1007/s40670-020-01040-w
  38. Naciri, A., Radid, M., Kharbach, A. & Chemsi, G. (2021). E-learning in health professions education during the covid-19 pandemic: A systematic review. Journal of educational evaluation for health professions. 18. 27. https://doi.org/10.3352/jeehp.2021.18.27