Holland Jane, McGarvey Alice, Flood Michelle, Joyce Pauline, Pawlikowska Teresa
Department of Anatomy and Regenerative Medicine, RCSI University of Medicine and Health Sciences, Dublin, D02 YN77 Ireland.
Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, Dublin, D02 YN77 Ireland.
Med Sci Educ. 2024 Jul 24;34(6):1317-1329. doi: 10.1007/s40670-024-02104-x. eCollection 2024 Dec.
Interpretation of images and spatial relationships is essential in medicine, but the evidence base on how to assess these skills is sparse. Thirty medical students were randomized into two groups (A and B), and invited to "think aloud" while completing 14 histology MCQs. All students answered six identical MCQs, three with only text and three requiring image interpretation. Students then answered eight "matched" questions, where a text-only MCQ on version A was "matched" with an image-based MCQ on paper B, or vice versa. Students' verbalizations were coded with a realist, inductive approach and emerging codes were identified and integrated within overarching themes. High-performing students were more likely to self-generate an answer as compared to middle and lower performing students, who verbalized more option elimination. Images had no consistent influence on item statistics, and students' self-identified visual-verbal preference ("learning style") had no consistent influence on their results for text or image-based questions. Students' verbalizations regarding images depended on whether interpretation of the adjacent image was necessary to answer the question or not. Specific comments about the image were present in 95% of student-item verbalizations (142 of 150) if interpreting the image was essential to answering the question, whereas few students referred to images if they were an unnecessary addition to the vignette. In conclusion, while assessing image interpretation is necessary for authenticity and constructive alignment, MCQs should be constructed to only include information and images relevant to answering the question, and avoid adding unnecessary information or images that may increase extraneous cognitive load.
The online version contains supplementary material available at 10.1007/s40670-024-02104-x.
图像和空间关系的解读在医学中至关重要,但关于如何评估这些技能的证据基础却很薄弱。30名医科学生被随机分为两组(A组和B组),并在完成14道组织学多项选择题时被要求“边思考边说出来”。所有学生都回答了6道相同的多项选择题,其中3道只有文字,3道需要图像解读。然后学生们回答8道“匹配”问题,A版上一道纯文字多项选择题与B版上一道基于图像的多项选择题“匹配”,反之亦然。学生的言语表达采用现实主义、归纳法进行编码,并识别出新兴代码并整合到总体主题中。与成绩中等和较低的学生相比,成绩优异的学生更有可能自己生成答案,而成绩中等和较低的学生更多地通过言语表达来排除选项。图像对题目统计数据没有一致的影响,学生自我认定的视觉-语言偏好(“学习风格”)对他们基于文字或图像的问题的结果也没有一致的影响。学生对图像的言语表达取决于回答问题时是否需要解读相邻图像。如果解读图像对回答问题至关重要,那么在95%的学生-题目言语表达(150个中的142个)中会出现对图像的具体评论,而如果图像是 vignette 的不必要补充,很少有学生会提及图像。总之,虽然评估图像解读对于真实性和建设性匹配是必要的,但多项选择题的构建应仅包括与回答问题相关的信息和图像,避免添加可能增加额外认知负荷的不必要信息或图像。
在线版本包含可在10.1007/s40670-024-02104-x获取的补充材料。