Online Case-Based Course in Veterinary Radiographic Interpretation Generates Better Short- and Long-Term Learning Outcomes than a Virtual Lecture-Based Course

JOURNAL OF VETERINARY MEDICAL EDUCATION(2023)

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摘要
Accurate interpretation of radiographs is necessary for the correct diagnosis and treatment of patients. Research has shown that active learning methods, including case-based learning, are superior to passive learning methods, such as lectures. Short-term learning outcomes were compared between two groups by enrolling 80 fourth-semester veterinary students in either an online case-based radiology course (n = 40) or a virtual lecture-based course (n = 40). Long-term learning outcomes were compared among three groups: one group completed case-based instruction in the fourth semester, followed by lecture-based instruction in the fourth semester (n = 19); the second group completed only lecture-based instruction in the fourth semester (n = 22), and the third group completed lecture-based instruction in the fourth semester, followed by case-based instruction in the fifth semester (n = 9). Learning was assessed using a multiple-choice examination and two independently written small animal radiograph reports. In the fourth semester, students completing the case-based course had higher examination scores and radiograph report scores than students who took the lecture-based course. Students completing the lecture-based course in the fourth semester and the case-based course in the fifth semester wrote better radiograph reports than students who completed both courses in the fourth semester; both groups wrote better reports than students who did not take the case-based course. A case-based diagnostic imaging course may be better than a lecture-based course for both short- and long-term retention of knowledge; however, there is a significant loss of knowledge following an instructional gap, and spaced refreshers may boost retention.
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关键词
diagnostic imaging,radiology,online instruction,e-learning, educational methods,case-based learning,active learning,clinical reasoning
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