ChatGPT 是萨拉戈萨大学医学院一名成绩优异的学生,也是教材编写的优秀合作者。

Q4 Medicine
Clara Cabañuz , Mar García-García
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引用次数: 0

摘要

导言和目标人工智能已充分融入我们的生活。在教育领域,无论是对学生还是对教师来说,人工智能的应用都是无限可能的。材料和方法在解决 2022-23 学年第一次 "解剖病理学诊断和治疗程序 "科目考试的选择题时,对 ChatGPT 的能力进行了探索。此外,还对错误答案的可能原因进行了评估,并将其结果与其他学生的结果进行了比较。最后,还评估了其根据具体说明编制新试题的能力。结果显示,在68道题目中,GPT正确回答了47道,成绩高于课程平均分和中位数。大多数失败的问题都是负面陈述,在陈述中使用了 "否"、"假 "或 "不正确 "等词语。在与之互动后,程序可以意识到自己的错误,并将最初的回答改为正确答案。最后,ChatGPT 可以根据理论假设或特定的临床模拟来开发新的问题。执行涉及大量消耗的任务,例如为内容评估准备多选题,就是一个很好的例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ChatGPT es un estudiante por encima de la media en la Facultad de Medicina de la Universidad de Zaragoza y un colaborador excelente en la elaboración de material docente

Introduction and objective

Artificial intelligence is fully present in our lives. In education, the possibilities of its use are endless, both for students and teachers.

Material and methods

The capacity of ChatGPT has been explored when solving multiple choice questions based on the exam of the subject «Anatomopathological Diagnostic and Therapeutic Procedures» of the first call of the 2022-23 academic year. In addition, to comparing their results with those of the rest of the students presented the probable causes of incorrect answers have been evaluated. Finally, its ability to formulate new test questions based on specific instructions has been evaluated.

Results

ChatGPT correctly answered 47 out of 68 questions, achieving a grade higher than the course average and median. Most failed questions present negative statements, using the words «no», «false» or «incorrect» in their statement. After interacting with it, the program can realize its mistake and change its initial response to the correct answer. Finally, ChatGPT can develop new questions based on a theoretical assumption or a specific clinical simulation.

Conclusions

As teachers we are obliged to explore the uses of artificial intelligence and try to use it to our benefit. Carrying out tasks that involve significant consumption, such as preparing multiple-choice questions for content evaluation, is a good example.

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来源期刊
Revista Espanola de Patologia
Revista Espanola de Patologia Medicine-Pathology and Forensic Medicine
CiteScore
0.90
自引率
0.00%
发文量
53
审稿时长
34 days
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