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May 14, 2026Science and Technology Nexus0 citationsOpen Access

Artificial Intelligence-Powered Learning Technologies in Pharmacy Education: Knowledge, Attitudes, and Practices of Undergraduate Pharmacy Students

AGAbdullahi Musa GarbaSMSteward MudendaRORoland Nnaemeka Okoro

Key Points

  • The aim is to assess undergraduate pharmacy students' knowledge, attitudes, and practices regarding AI-powered learning technologies.
  • Descriptive cross-sectional study conducted among 456 undergraduate pharmacy students at a Nigerian university.
  • Data collected using a validated self-administered questionnaire.
  • Analyses included descriptive statistics, Spearman’s correlation, and multivariable logistic regression.
  • 69.7% of students demonstrated good knowledge of AI-powered learning tools.
  • 72.4% showed positive attitudes toward these tools.
  • Knowledge correlated positively with attitudes (Spearman’s rho = 0.248, p < 0.001), with year of study as a predictive factor for knowledge level.

Abstract

Objectives Artificial intelligence (AI) is increasingly integrated into health professions education, including pharmacy training. Understanding students’ knowledge, attitudes, and practices (KAP) toward AI-powered learning tools is essential for effective curricular integration. Materials and Methods A descriptive cross-sectional study was conducted among undergraduate pharmacy students at a Nigerian university during the 2024/2025 academic session from August 2025 to November 2025. Data were collected using a validated self-administered questionnaire adapted from previous studies. KAP scores were categorised using modified Bloom’s cut-offs. Descriptive statistics, Spearman’s correlation, and multivariable logistic regression were applied. Results A total of 456 students participated (response rate: 81.3%), with a median age of 23 years (IQR: 20–25). Overall, 69.7% demonstrated good knowledge, 72.4% showed positive attitudes, and 50.4% exhibited good practices regarding AI-powered learning tools. Knowledge showed a weak but statistically significant positive correlation with attitude (Spearman’s rho = 0.248, p < 0.001). Year of study was the only significant predictor of poor knowledge, with second-year students more likely and fifth-year students less likely to have poor knowledge. Conclusion Pharmacy students demonstrated generally modest engagement with AI-powered learning tools despite limited formal training. Integrating structured AI education into pharmacy curricula may enhance students’ knowledge and promote responsible use.

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Cite This Study

Garba et al. (2026) studied this question.

synapsesocial.com/papers/6a05680ea550a87e60a205fehttps://doi.org/10.25259/stn_5_2026
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