Data for the article Artificial Intelligence in Business Education: Impacts, Integration and Challenges

Supporting data for an article submitted for peer review: includes raw data and analysis. The study's objective is to explore the effects of Artificial Intelligence (AI) tools, specifically ChatGPT, on undergraduate student performance in business case studies. Data were created by evaluating student groups' case studies with “AI treatment” and without. The Mann-Whitney U test was carried out to confirm a statistically significant difference between “AI treatment” and control groups, and data shows the results of the test.

本数据集为一篇待同行评审的学术论文配套支持数据，包含原始实验数据与分析结果。本研究旨在探究人工智能（Artificial Intelligence, AI）工具——尤以ChatGPT为例——对商科本科生商业案例分析学业表现的影响。实验数据通过对比采用“人工智能辅助处理”与未采用该处理的学生小组的商业案例分析作业生成。本研究采用曼-惠特尼U检验（Mann-Whitney U test）验证人工智能辅助处理组与对照组间是否存在统计学意义上的显著差异，数据集同时收录该检验的结果数据。