Web-Based Evaluation System to Measure Learning Effectiveness in Kampo Medicine

Author:

Iizuka Norio12ORCID,Usuku Koichiro3,Nakae Hajime4ORCID,Segawa Makoto2,Wang Yue5,Ogashiwa Kahori6,Fujita Yusuke7,Ogihara Hiroyuki8,Tazuma Susumu9,Hamamoto Yoshihiko7ORCID

Affiliation:

1. Department of Kampo Medicine, Graduate School of Biomedical & Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8551, Japan

2. Department of Kampo Medicine, Yamaguchi University Hospital, 1-1-1 Minami-Kogushi, Ube, Yamaguchi 755-8505, Japan

3. Medical Information Science and Administrative Planning, Kumamoto University Hospital, 1-1-1 Honjo, Chuo-ku, Kumamoto City 860-8556, Japan

4. Department of Emergency and Critical Care Medicine, Akita University School of Medicine, 1-1-1 Hondo, Akita 010-8543, Japan

5. Media and Information Technology Center, Organization for Academic Information, Yamaguchi University, 1-1-1 Minami-Kogushi, Ube, Yamaguchi 755-8505, Japan

6. Liberal and General Education Center, Utsunomiya University, 350 Mine-machi, Utsunomiya, Tochigi 321-8505, Japan

7. Graduate School of Sciences and Technology for Innovation, Yamaguchi University, 2-16-1 Tokiwadai, Ube, Yamaguchi 755-8611, Japan

8. Graduate School of Medicine, Yamaguchi University, 2-16-1 Tokiwadai, Ube, Yamaguchi 755-8611, Japan

9. Department of General Internal Medicine, Hiroshima University Hospital, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8551, Japan

Abstract

Measuring the learning effectiveness of Kampo Medicine (KM) education is challenging. The aim of this study was to develop a web-based test to measure the learning effectiveness of KM education among medical students (MSs). We used an open-source Moodle platform to test 30 multiple-choice questions classified into 8-type fields (eight basic concepts of KM) including “qi-blood-fluid” and “five-element” theories, on 117 fourth-year MSs. The mean (±standard deviation [SD]) score on the web-based test was30.2±11.9(/100). The correct answer rate ranged from 17% to 36%. A pattern-based portfolio enabled these rates to be individualized in terms of KM proficiency. MSs with scores higher (n=19) or lower (n=14) than mean ± 1SD were defined as high or low achievers, respectively. Cluster analysis using the correct answer rates for the 8-type field questions revealed clear divisions between high and low achievers. Interestingly, each high achiever had a different proficiency pattern. In contrast, three major clusters were evident among low achievers, all of whom responded with a low percentage of or no correct answers. In addition, a combination of three questions accurately classified high and low achievers. These findings suggest that our web-based test allows individual quantitative assessment of the learning effectiveness of KM education among MSs.

Publisher

Hindawi Limited

Subject

Complementary and alternative medicine

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