Preliminary Findings on Artificial Intelligence Acceptance in Higher Education: Evidence from UiTM Puncak Perdana Students

Authors

Hasnah Hashim

Faculty of Information Science, Universiti Teknologi MARA (UiTM), Puncak Perdana Campus, 40150 Shah Alam, Selangor (Malaysia)

Nurin Syahidah Shahrim

Faculty of Information Science, Universiti Teknologi MARA (UiTM), Puncak Perdana Campus, 40150 Shah Alam, Selangor (Malaysia)

Article Information

DOI: 10.47772/IJRISS.2026.1026EDU0596

Subject Category: Artificial Intelligence

Volume/Issue: 10/26 | Page No: 8103-8115

Publication Timeline

Submitted: 2026-09-12

Accepted: 2026-09-17

Published: 2026-09-29

Abstract

This study presents preliminary findings from a pilot study examining students’ acceptance of artificial intelligence (AI) in learning at the Faculty of Information Science, Universiti Teknologi MARA (UiTM) Puncak Perdana. The target population comprised 2,253 undergraduate and postgraduate students. For the planned main investigation, a minimum sample size of 329 respondents was estimated using the Raosoft sample-size calculator, based on a 95% confidence level, a 5% margin of error, and a 50% response distribution. The pilot study involved 26 respondents and was conducted to assess the clarity, contextual suitability, and preliminary internal consistency of the research instrument. The questionnaire comprised six items for each construct and employed a five-point Likert scale ranging from 1, “Strongly Disagree,” to 5, “Strongly Agree.” Cronbach’s alpha coefficients were 0.898 for perceived usefulness, 0.939 for digital literacy, 0.931 for institutional support, and 0.911 for student acceptance of AI in learning. These coefficients indicated good to very high preliminary internal consistency within the pilot sample. However, the findings do not establish construct validity, factor structure, statistically significant relationships, causal effects, or generalisable conclusions. The measurement items were therefore retained provisionally for further evaluation in the main investigation, which should involve at least 329 eligible respondents. The findings provide preliminary support for proceeding to the main study, subject to further refinement and validation of the research instrument.

Keywords

Artificial Intelligence; Student Acceptance; Perceived Usefulness; Digital Literacy; Institutional Support; Pilot Study

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References

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