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Data from: ChatGPT to generate clinical vignettes for teaching and multiple-choice questions for assessment: A randomized controlled experiment

2023·0 Zitationen·Zenodo (CERN European Organization for Nuclear Research)Open Access
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2023

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Abstract

Dataset Info This dataset is based on the study published in Medical Teacher: Coşkun, Ö., Kıyak, Y. S., & Budakoğlu, I. İ. (2024). ChatGPT to generate clinical vignettes for teaching and multiple-choice questions for assessment: A randomized controlled experiment. Medical teacher, 1-7. https://www.tandfonline.com/doi/full/10.1080/0142159X.2024.2327477 1) Case Evaluation # The first row of the dataset identifies the columns.# The first column represents the participant ids in the case evaluation.# The second column represents the participants' groups (1: ChatGPT group, 0: Control (Human-Written) Group)# The third column and the following nine columns reveal the responses of the medical students to the statements using a Likert scale (1: Definitely not agree, 5: Definitely agree). 2) Test Results # The first row of the dataset identifies the columns.# The first column represents the participant ids in the exam.# The second column represents the participants' groups (1: ChatGPT group, 0: Control (Human-Written) Group)# The third column and the following 14 columns reveal the responses of the medical students to the single-best answer multiple-choice questions (1: Correct, 0: Incorrect).

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Artificial Intelligence in Healthcare and EducationIntelligent Tutoring Systems and Adaptive LearningExplainable Artificial Intelligence (XAI)
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