The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/62311897-6148-4cea-be86-1d6d417af446

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

Categories

• Education Systems
• Communications Technologies
• Curriculum and Pedagogy
• Other Technology
• Technology
• Education

Keywords

Artificial Intelligence Business Education Educational Technology Undergraduate Performance

Licence

CC0

Interoperability

• RO-Crate Metadata

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by Vahe Odabashian

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.ResearchData

Format

.xlsx

Organizations

American University of Armenia