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

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

Authors

  • Mehreen Bukhari Department of Community Medicine, Faisalabad Medical University, Faisalabad
  • Hamna Khan Department of Community Medicine, Nishtar Medical University, Multan
  • Saima Kanwal Department of Community Medicine, Faisalabad Medical University, Faisalabad
  • Naveed Hussain PhD Scholar
  • Ume Habiba Department of Public Health, Times Institute Multan
  • Muhammad Asif Department of Public Health, Times Institute Multan

DOI:

https://doi.org/10.21649/akemu.v31iSpl2.6154

Keywords:

Artificial Intelligence, Basic science faculty, AI Knowledge, Ethical Concerns, Institutional Support, AI Training

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.

References

1. Zawacki-Richter O, Marín V, Bond M, Gouverneur F. Systematic review of research on artificial intelligence in education: Learning, knowledge, and skills. Int J Educ Technol High Educ. 2019;16(1):1–27. https://doi.org/10.1186/s41239-019-0174-8

2. Crompton H, Gregory K, Burke D, Lin T-J. Higher Education Faculty Perceptions of AI in Education. J Educ Comput Res. 2023;61(2):423–49. https://doi.org/10.1177/07356331221125721

3. European Commission. Ethics guidelines for trustworthy AI. Brussels: European Commission; 2019. Doi: doi:10.2759/791819.

.https://ec.europa.eu/digital-strategy/our-policies/ethics-guidelines-trustworthy-ai_en

4. UNESCO. AI and education: Guidance for policy-makers. Paris: UNESCO; 2021 https://unesdoc.unesco.org/ark:/48223/pf0000377302

5. Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 1989;13(3):319–40. https://doi.org/10.2307/249008

6. Hazaimeh M, Al-Ansi AM. A model of AI acceptance in higher education. Int J Inf Learn Technol. 2024;41(4):371–93. https://doi.org/10.1108/IJILT-06-2023-0168

7. Sánchez-Prieto JC, Olmos-Migueláñez S, García-Peñalvo FJ. Understanding AI-driven assessment acceptance among pre-service teachers. Comput Educ. 2019; 141:103614. https://doi.org/10.1016/j.compedu.2019.103614

8. Svenmarck L, Oskarsson P, Rudberg J. Military applications of AI: Threats and challenges. J Mil Technol. 2018;12(3):45–60.

9. Ahmed S, Khan M, Rehman F. Knowledge and attitudes of medical students toward artificial intelligence in Pakistan. J Med Educ. 2021;20(2):112–25.

10. Lee K, Smith T, Johnson R. Institutional support and faculty adoption of AI. J Higher Educ. 2023;90(5):601–15. https://doi.org/10.1080/00221546.2023.22285.

11. Venkatesh V, Morris MG, Davis GB, Davis FD. User acceptance of information technology: Toward a unified view. MIS Q. 2003;27(3):425–78. https://doi.org/10.2307/30036540

12. Ahmad T, Ali M, Anwar M. Factors influencing the adoption of AI in education: An empirical study. J Educ Technol. 2023;18(2):89–104. https://doi.org/10.1007/s43164-023-00028-3

13. Zulkarnain Z, Rahim NFA, Jamaludin NH. Continuing intention to use AI-based learning platforms in higher education. Educ Inf Technol. 2022;27(9):12345–67. https://doi.org/10.1007/s10639-022-10725-6

14. Kiryakova G, Angelova N. Generative AI and its role in transforming education. Front Educ. 2023; 8:1427450. https://doi.org/10.3389/feduc.2023.1427450

15. Oluwadiya O, Adebayo T, Musa I. Addressing ethical concerns of AI in medical education. Med Teach. 2023;45(7):789–95. https://doi.org/10.1080/0142159X.2023.2239881

16. Sharma A, Raza SA, Khan K. Student perspectives on the integration of AI in learning environments. J Comput Assist Learn. 2023;39(4):1123–35. https://doi.org/10.1111/jcal.12858

17. García-Peñalvo FJ. The role of ChatGPT in modern education: Opportunities and threats. Comput Hum Behav. 2023; 148:107876. https://doi.org/10.1016/j.chb.2023.107876

18. Pedró F, Subosa M, Rivas A, Valverde P. Artificial Intelligence in Education: Challenges and Opportunities for Teacher Education. OECD Educ Work Pap. 2019; 218:1–45. https://doi.org/10.1787/1f6b49a5-en

19. Choi JJ, Lee HJ, Kim Y. Investigating trust in AI tools for education. Educ Technol Res Dev. 2022;70(3):1023–45. https://doi.org/10.1007/s11423-022-10184-0

20. Turan Z, Avinc Z, Kara K, Goktas Y. Acceptance of gamification tools in education: An empirical investigation. Comput Educ. 2022; 184:104516. https://doi.org/10.1016/j.compedu.2022.104516

21. Istenic A, Starcic AI, Keller L. Use of humanoid robots in classrooms: A study of teacher acceptance. Int J Soc Robot. 2021;13(5):2045–61. https://doi.org/10.1007/s12369-021-00796-x

22. Islamoglu H, Aydin CH, Yildiz E. Exploring mobile learning acceptance in higher education. Educ Inf Technol. 2021;26(6):7357–76. https://doi.org/10.1007/s10639-021-10543-7

23. Wang Y, Chen Z, Liu H. Faculty readiness for artificial intelligence adoption in teaching. Tech Trends. 2023;67(4):201–10. https://doi.org/10.1007/s11528-023-00772-4

Downloads

Published

07/15/2025

How to Cite

Bukhari, M., Hamna Khan, Saima Kanwal, Naveed Hussain, Ume Habiba, & Muhammad Asif. (2025). Perception, Knowledge and Institutional Readiness for Artificial Intelligence among Basic Science Teaching Faculty of Public and Private Medical Colleges of Faisalabad. Annals of King Edward Medical University, 31(Spl2), 162–167. https://doi.org/10.21649/akemu.v31iSpl2.6154

Issue

Vol. 31 No. Spl2 (2025): AKEMU - Special Issue 2 (April, June)

Section

Original Articles

License

Copyright (c) 2025 Annals of King Edward Medical University

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

This is an open-access journal and all the published articles / items are distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. For comments publications@kemu.edu.pk

Similar Articles

<< < 

You may also start an advanced similarity search for this article.