Critical Review of Dental Education in Pakistan and A Proposed Way Forward: An AI-Integrated BDS Curriculum for Global Competence
DOI:
https://doi.org/10.51253/pafmj.v76iSUPPL-3.14073Keywords:
Advanced Assessment Models, Artificial Intelligence, BDS Curriculum, Curriculum Integration, Precision Education.Abstract
Objective: The objectives of this conceptual review are to: (1) characterize the structural, pedagogical and technological attributes of the existing curriculum; (2) delineate deficiencies relative to global standards, with emphasis on AI literacy, faculty capacity and assessment approaches; and (3) outline a comprehensive, sustainable AI-integrated curriculum model informed by Systems Theory and principles of precision education.
Study Design: Systematic Review.
Methodology: A structured search was performed across major scholarly databases—PubMed, Web of Science, Scopus and ERIC. The search targeted three central domains: artificial intelligence in health professions education, precision-based learning approaches and advanced assessment models. Only English-language publications from 2010 to 2025 were included to ensure relevance.
Results: Based on these insights, an enhanced curriculum design is proposed for one university and its affiliated institutions, incorporating forward-looking educational strategies such as precision learning, entrepreneurial skill development, inter-professional education (IPE), programmatic assessment and digital simulation.
Conclusion: Collectively, these elements form an integrated framework intended to cultivate graduates who are proficient in AI-supported dental practice and equipped to meet the evolving demands of contemporary oral healthcare across global contexts.
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References
1. Mehboob B, Mahboob U, Jamil B, Shaheen N. Needs analysis for an undergraduate dental curriculum in KPK, Pakistan: Gap identification and general needs assessment. Pak J Med Sci 2024; 40(5): 967-973.
https://doi.org/10.12669/pjms.40.5.8364
2. Ghassan A, Shukr I, Sadiq N, Ahsan R. Current trends in dental education. Pak Armed Forces Med J 2021; 71(3): 1107-1113. https//doi.org/10.51253/pafmj.v71i3.6318
3. Coates WC. Precision education - a call to action to transform medical education. Int J Emerg Med 2025;18(1):21. https://doi.org/10.1186/s12245-025-00819-1
4. Annamma LM, Varma SR, Abuttayem H, Prasad P, Azim SA, Odeh R, et al. Current challenges in dental education: a scoping review. BMC Med Educ 2024; 24(1): 1523.
https://doi.org/10.1186/s12909-024-06545-1
5. Serrano CM, Bakker DR, Zamani M, de Boer IR, Koopman P, Wesselink PR, et al. Virtual reality and haptics in dental education: implementation progress and lessons learned after a decade. Eur J Dent Educ 2023; 27(4): 833-840.
https://doi.org/10.1111/eje.12873
6. Harden RM, Laidlaw JM. Essential Skills for a Medical Teacher: An Introduction to Teaching and Learning in Medicine. 3rd Ed. Edinburgh: Elsevier; 2021.
7. Sethi A. Artificial intelligence in health professions education. J Shalamar Med Dent Coll 2024; 5(1): 1-3.
https://doi.org/10.53685/jshmdc.v5i1.208
8. Araidy S, Batshon G, Mirochnik R. Artificial intelligence applications in dentistry: a systematic review. Oral 2025; 5(4): 90. https://doi.org/10.3390/oral5040090
9. Thurzo A, Urbanová W, Novák B, Czako L, Siebert T, Stano P, et al. Impact of artificial intelligence on dental education: a review and guide for curriculum update. Educ Sci 2023; 13(2): 150. https://doi.org/10.3390/educsci13020150
10. Cook DA, Brydges R, Ginsburg S, Hatala R. A contemporary approach to validity arguments: a practical guide to Kane's framework. Med Educ 2015; 49(6): 560-575.
https://doi.org/10.1111/medu.12678
11. Schuwirth LWT, van der Vleuten CPM. Programmatic assessment: From assessment of learning to assessment for learning. Med Teach 2011; 33(6): 478-485.
https://doi.org/10.3109/0142159X.2011.565828
12. Cate O, Taylor DR. The recommended description of an entrustable professional activity: AMEE Guide No. 140. Med Teach 2021; 43(10): 1106-1114.
https://doi.org/10.1080/0142159X.2020.1838465
13. Torre DM, Durning SJ, Rencic J, Lang V, Holmboe E, Daniel M. Faculty development for programmatic assessment: A framework for implementation. Acad Med 2022; 97(3): 345-352.
https://doi.org/10.1097/ACM.0000000000004445
14. Daniel M, Rencic J, Durning SJ, Holmboe E, Santen SA, Lang V, et al. Clinical reasoning assessment methods: a scoping review and practical guidance. Acad Med 2019; 94(6): 902-912.
https://doi.org/10.1097/ACM.0000000000002618
15. Reeves S, Perrier L, Goldman J, Freeth D, Zwarenstein M. Interprofessional education: effects on professional practice and healthcare outcomes. Cochrane Database Syst Rev 2013; (3): CD002213. https://doi.org/10.1002/14651858.CD002213
16. Harden RM, Sowden S, Dunn WR. Educational strategies in curriculum development: the SPICES model. Med Educ 1984; 18(4): 284-297.
https://doi.org/10.1111/j.1365-2923.1984.tb01024.x
17. Bok HGJ, Teunissen PW, Favier RP, Rietbroek NJ, Theyse LFH, Brommer H, et al. Programmatic assessment of competency-based workplace learning: when theory meets practice. BMC Med Educ 2013; 13(1): 123.
https://doi.org/10.1186/1472-6920-13-123
18. Janssens O, Haerens L, Valcke M, Beeckman D, Pype P, Embo M et al. The role of ePortfolios in supporting learning in eight healthcare disciplines: a scoping review. Nurse Educ Pract 2022; 63: 103418. https://doi.org/10.1016/j.nepr.2022.103418
19. Thistlethwaite J, Moran M. World Health Organization Study Group on Interprofessional Education and Collaborative Practice. Learning outcomes for interprofessional education (IPE): literature review and synthesis. J Interprof Care 2010; 24(5): 503-513. https://doi.org/10.3109/13561820.2010.483366
20. Yardley S, Teunissen PW, Dornan T. Experiential learning: AMEE Guide No. 63. Med Teach 2012; 34(2): e102-15.
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