Perception, Knowledge and Institutional Readiness for Artificial Intelligence among Basic Science Teaching Faculty of Public and Private Medical Colleges of Faisalabad

Abstract

Background: Artificial intelligence (AI) has potential to reshape education, particularly in basic sciences, by introducing more efficient teaching methods. Objectives: To assess perception, knowledge and institutional readiness of AI among teaching faculty of basic sciences. Secondary objective was to assess level of AI expertise among basic science educators and identify knowledge gaps. Methods: This was descriptive, cross-sectional study conducted among 68 basic science faculty members, selected through convenient sampling. With 90% confidence level and 10% margin of error, an online survey was distributed, gathering data on participants' demographics, AI knowledge, attitudes toward AI, and level of institutional support for AI integration. Technology Acceptance Model was applied to assess faculty perceptions. This study was conducted at medical colleges of Faisalabad from July 2024 to November 2024. Data was analyzed using SPSS version 27. Results: Out of 68 participants, 57.4% were male and 42.6% were female. 69.1, % people had neutral to highly positive attitude towards using AI.41.2% said they had good understanding of AI, but only 1.5% had formal AI training.75% were open to using AI in their teaching. 42.8% of people felt they didn’t know much about AI. The people observed ethical issues with AI use (66.2%) and privacy concerns (61.8%). 80.4% of people said they would use AI, 47.1% people said they had no support from institutions to implement AI. while only 36.5% unsupported people also wished to use AI. 64.7% people were interested to get more hand on training on AI. Conclusion: This study reveals that teaching faculty has interest in using AI, but they don’t have enough resources and institutional support. If proper training is provided AI can change the landscape of medical teaching.

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