International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 4 (July-August 2026) Submit your research before last 3 days of August to publish your research paper in the issue of July-August.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 8 Issue 4
July-August 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Generative AI Usage and Academic Performance among Healthcare Management Students: A Comparative Study of Undergraduate and Postgraduate Learners

Author(s) Ms. Jatoveda Haldar, Dr. Alpha Bhowmick
Country India
Abstract Background: Generative artificial intelligence (GenAI) tools have rapidly permeated higher education, yet empirical evidence on their differential impact across student cohorts in healthcare management programmes remains limited.
Objectives: This study examined GenAI usage patterns and their associations with academic performance among undergraduate (UG) and postgraduate (PG) healthcare management students, and compared outcomes across both cohorts.
Methods: A cross-sectional survey design was employed with a purposive sample of 300 students (150 UG; 150 PG) from three accredited Indian institutions. Validated instruments assessed GenAI literacy, usage frequency, purpose of use, and academic self-efficacy. Academic performance was operationalised through cumulative GPA, faculty-rated critical thinking, research output scores, and assignment quality. Data were analysed using independent samples t-tests, chi-square tests, one-way ANOVA, and hierarchical multiple regression.
Results: PG students demonstrated significantly higher GenAI usage frequency (4.1 vs 3.2 days/week; p<.001), AI literacy (3.87 vs 3.21; p<.001), and critical-use orientation than UG counterparts. High GenAI users outperformed low users on all academic metrics in both groups (all p<.001), with stronger associations observed in PG students (CGPA: 7.89 vs 7.11; R²=0.47). Regression analyses identified AI literacy (β=.341), critical-use orientation (β=.318), and usage frequency (β=.302) as the strongest predictors of PG performance, while AI literacy (β=.287) and critical use (β=.214) predominated in the UG model.
Conclusions: GenAI use confers significant academic benefits in healthcare management education when applied critically and purposefully. Programmes should integrate structured AI literacy curricula tailored to UG and PG learning contexts to optimise these benefits and mitigate dependency risks.
Keywords Generative AI, academic performance, healthcare management education, undergraduate students, postgraduate students, AI literacy, ChatGPT, higher education
Field Business Administration
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-06-13
DOI https://doi.org/10.36948/ijfmr.2026.v08i03.81318
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI prefix of IJFMR is 10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 8 Isu 4Cover Page Vol 8 Isu 3Cover Page Vol 8 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com
Powered by Sky Research Publication and Journals