Department of Radiology, West China Hospital, Sichuan University, No.37 Guoxue Alley, Chengdu 610041, Sichuan, China; Teaching and Research Office of Medical Imaging, West China School of Medicine, Sichuan University, Chengdu 610041, Sichuan, China.
Department of Medical Education, West China Medical Center, Sichuan University, Chengdu 610041, Sichuan, China.
Acad Radiol. 2022 Jan;29(1):150-157. doi: 10.1016/j.acra.2020.09.028. Epub 2020 Nov 4.
A need for adequate and early exposure to radiology practice is rising in undergraduate students, taking competency development as the orientation. We aimed to develop a competency-based model of practice-based learning for undergraduate radiology education.
The model of practice-based learning was constructed upon an e-learning smart class environment, with case-based learning and simulators for competency development. To assess the model effectiveness, a randomized controlled experiment was performed, where 57 third-year medical students received the model (Smart-Class group) and another 57 received traditional teaching (Traditional group). Seven quizzes, a final exam, and a survey were performed in both groups.
Smart-Class group achieved higher mean score in the quizzes (r = -0.4, p < 0.001) and application subscore in the final exam (r = -0.3, p = 0.005) compared to Traditional group. Smart-Class group also gave higher ratings in students' perceptions concerning promotion of learning interests, radiology skills, and diagnostic reasoning (r = -0.2 to -0.3, p = 0.001-0.034).
Practice-based learning using smart class improved students' application ability and satisfactions in undergraduate radiology education, suggesting it a practical model for early exposure to radiology practice and competency development for undergraduate medical students.
为满足本科生以提升能力为导向接受足够且早期的放射科实践培训的需求,我们旨在为本科放射科教育制定基于能力的实践学习模式。
实践学习模式建立在电子学习智能课堂环境基础之上,采用基于案例的学习和模拟器来发展能力。为评估该模型的有效性,我们进行了一项随机对照试验,其中 57 名三年级医学生接受该模型(智能课堂组),而另外 57 名学生接受传统教学(传统组)。在两组中均进行了七次测验、期末考试和问卷调查。
与传统组相比,智能课堂组在测验中的平均分数(r=-0.4,p<0.001)和期末考试中的应用子分数(r=-0.3,p=0.005)更高。智能课堂组在促进学习兴趣、放射科技能和诊断推理方面的学生认知方面也给出了更高的评价(r=-0.2 至-0.3,p=0.001-0.034)。
智能课堂的基于实践的学习提高了本科生放射科教育中的应用能力和满意度,表明其是为本科生提供早期放射科实践和能力发展的实用模型。