J. Pharm. Pharmacogn. Res., vol. 14, no. 5, Article ID 2913, Sep-Oct 2026.

DOI: https://doi.org/10.56499/jppres_14.5.2913

Original Article

Generative AI use, access channels, and perceptions among pharmacy students: A cross-sectional survey

[Uso de inteligencia artificial generativa, canales de acceso y percepciones en estudiantes de farmacia: una encuesta transversal]

Panumart Phumart*, Phenphitcha Somton, Laksanaphorn Phothong, Atchareeya Phudindan, Areewan Cheawchanwattana

Faculty of Pharmaceutical Sciences, Khon Kaen University, Khon Kaen 40002, Thailand.

*E-mail: panuphu@kku.ac.th

Abstract

Context: Pharmacy students use generative artificial intelligence (GenAI) through provider-operated, university-supported, and embedded channels, but curricular differences in access-channel choice remain poorly described.

Aims: To describe tools, access channels, perceived benefits and concerns, and unadjusted curricular-year differences among pharmacy students with prior GenAI experience.

Methods: A cross-sectional web survey recruited 180 Doctor of Pharmacy students by nonprobability quota sampling (30 per year). Primary access channels and 21 attitude items were assessed. Pearson-based exploratory factor analysis was complemented by a polychoric-matrix sensitivity analysis. Group differences and confidence intervals were estimated.

Results: ChatGPT was ranked as the most-used tool by 140/180 students (77.8%); 173/180 (96.1%) ranked at least two distinct tools among their three most-used. Provider-operated channels ranked first for 150/179 (83.8%), compared with 24/179 (13.4%) for the university portal. The portal was first-ranked by 19/90 later-year and 5/89 early-year students (odds ratio 4.50, 95% CI 1.60–12.65; Fisher exact p = 0.004). Pearson and polychoric factor analyses yielded two weakly correlated dimensions (r = 0.05 and 0.17, respectively). Perceived Benefits were higher in early-year students (4.42 vs. 4.18; mean difference 0.24, 95% CI 0.08–0.40), whereas Concerns did not differ significantly (p = 0.192).

Conclusions: In this selected sample of prior GenAI users at one pharmacy faculty, access-channel choice, daily use, and perceived benefits differed between curricular-year groups. The sampling method and cross-sectional design preclude population-level or developmental inferences.

Keywords: artificial intelligence; education, pharmacy; students, pharmacy; surveys and questionnaires.

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Resumen

Contexto: Los estudiantes de farmacia utilizan inteligencia artificial generativa a través de plataformas de proveedores, portales universitarios y asistentes integrados. Las diferencias por curso entre canales están poco descritas.

Objetivos: Describir herramientas, canales, beneficios percibidos, preocupaciones y diferencias no ajustadas por curso entre estudiantes que habían utilizado IA generativa.

Métodos: Una encuesta transversal en línea incluyó a 180 estudiantes mediante un muestreo no probabilístico por cuotas (30 por curso). Se evaluaron los canales y 21 ítems de actitud. El análisis factorial basado en correlaciones de Pearson se complementó con un análisis de sensibilidad policórico. Se estimaron diferencias e intervalos de confianza.

Resultados: ChatGPT ocupó el primer lugar entre 140/180 estudiantes (77,8%); 173/180 (96,1%) clasificaron al menos dos herramientas distintas entre las tres más utilizadas. Los canales de proveedores ocuparon el primer lugar con 150/179 (83,8%) y el portal universitario, con 24/179 (13,4%). Este último fue primero para 19/90 estudiantes de cursos superiores (4.º–6.º) frente a 5/89 de cursos iniciales (1.º–3.º; odds ratio: 4,50; IC del 95 %: 1,60–12,65; prueba exacta de Fisher, p = 0,004). Se obtuvieron dos factores débilmente correlacionados (r = 0,05 y 0,17, respectivamente). Los beneficios percibidos fueron mayores en los cursos iniciales (4,42 frente a 4,18; diferencia: 0,24; IC del 95%: 0,08–0,40); las preocupaciones no difirieron significativamente (p = 0,192).

Conclusiones: En esta muestra de una sola facultad, los grupos difirieron en el canal principal, el uso diario y los beneficios percibidos. El muestreo y el diseño transversal impiden inferencias poblacionales y sobre cambios individuales.

Palabras Clave: educación en farmacia; encuestas y cuestionarios; estudiantes de farmacia; inteligencia artificial.

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Citation Format: Phumart P, Somton P, Phothong L, Phudindan A, Cheawchanwattana A (2026) Generative AI use, access channels, and perceptions among pharmacy students: A cross-sectional survey. J Pharm Pharmacogn Res 14(5): 2913. https://doi.org/10.56499/jppres_14.5.2913
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