Data for the article Artificial Intelligence in Business Education: Impacts, Integration and Challenges
DOI:10.4121/62311897-6148-4cea-be86-1d6d417af446.v1
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DOI: 10.4121/62311897-6148-4cea-be86-1d6d417af446
DOI: 10.4121/62311897-6148-4cea-be86-1d6d417af446
Datacite citation style
Odabashian, Vahe (2025): Data for the article Artificial Intelligence in Business Education: Impacts, Integration and Challenges. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/62311897-6148-4cea-be86-1d6d417af446.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
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.
History
- 2025-08-11 first online, published, posted
Publisher
4TU.ResearchDataFormat
.xlsxOrganizations
American University of ArmeniaDATA
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README.txt - 17,833 bytesMD5:
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Artificial Intelligence in Business Education_data.xlsx -
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