Association between Perception Constructs and Attitude towards Adoption of Artificial Intelligence as a Teaching Tool among Medical Students
DOI:
https://doi.org/10.66984/jsmdc.v12.i01.oa.08Keywords:
Artificial intelligence, Machine learning, Adoption, Chatbots, ChatGPTAbstract
Objective: To determine the association between key perception constructs measured using the technology acceptance model (TAM) questionnaire and attitude towards adoption of artificial intelligence (AI) as a teaching tool among medical students in Pakistan.
Methodology: This cross-sectional analytical study was conducted at Allama Iqbal Medical College, Lahore, from September 2025 to February 2026 after ethical approval. Two hundred and eighty five MBBS students aged ≥18 years of any gender were included using a non-probability convenience sampling technique after obtaining informed written consent. Students with prior AI experience or enrollment in AI programs were excluded. A predesigned TAM questionnaire was used to collect data. The data was entered and analyzed using Statistical Package for the Social Sciences (SPSS) version 21. The key perception constructs, perceived usefulness (PU) and perceived ease of use (PEU), were compared with the main dependent outcome, i.e., attitude towards AI use.
Results: The mean age of the participants was 21.5±1.5 years. Most students were females [156(54.7%)] and majority of the students belong to 4th year MBBS [105(36.8%)]. Multivariable regression showed that perceived usefulness had a significantly positive association with attitude towards AI adoption (p-value=0.001) whereas perceived ease of use demonstrated a weak but significant negative association with attitude (p=0.005).
Conclusion: Perceived usefulness is found to be a primary driver of AI adoption among medical students. However, perceived ease of use demonstrated a small but significant negative association with attitude, suggesting that its role may be secondary when usefulness is accounted for in the model.
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Copyright (c) 2026 Journal of Sharif Medical & Dental College is licensed and distributed under the terms of Creative Commons Attribution-NonCommercial 4.0 International License.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
