International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 2
March-April 2026
Indexing Partners
Artificial Intelligence in Commerce Studies: Student Experiences, Perceived Advantages, and Gender-based Adoption Trends
| Author(s) | Dr. Kumaraswamy Mora |
|---|---|
| Country | India |
| Abstract | The integration of AI (Artificial Intelligence) in commerce studies is transforming educational paradigms, offering new opportunities and challenges for students. This study explores student experiences with AI tools in commerce education, examining perceived advantages as well as challenges faced by them, such as E.L. (Enhancing Learning), Sk. D. (Skill Development), Ac. I. (Access to Information), B.U. (Better Understanding) and O (Other) and challenges faced by students like as P (Privacy), E (Ethical), Acc .I. (Accuracy Information), R.H.I. (Reduced Human Interaction) and A.O. (Any Other). Additionally, the research investigates gender-based adoption trends, assessing whether male and female students differ in their engagement with AI technologies with ChatGPT, Meta AI, DeepSeek and Gemini. The required data collected through a structured questionnaire in the form of google with the sample size of 144 with convenience sample from commerce first year, second year and third year students. Moreover, applied Chi-Square test at 5 percent significance level. The study highlights key insights into AI’s role in shaping modern business education and identifies potential disparities in technology adoption. The findings contribute to discussions on equitable AI integration and its implications for future commerce curricula. |
| Keywords | Artificial Intelligence, Commerce Education, Student Experiences, Gender Differences and Technology Adoption. |
| Published In | Volume 7, Issue 6, November-December 2025 |
| Published On | 2025-12-28 |
| DOI | https://doi.org/10.36948/ijfmr.2025.v07i06.64788 |
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E-ISSN 2582-2160
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