Artificial Intelligence–Enabled Self Determined Learning in Medical Education
Venkatesh Murthy, Venkatesh (2026) Artificial Intelligence–Enabled Self Determined Learning in Medical Education. Advances in Medical Education and Practice, 17. 591344.
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Abstract
Purpose: The present study aims to incorporate an active learning pedagogy model that is both educator-friendly and cost-effective, to enhance the effectiveness of basic medical science teaching in the undergraduate dental curriculum.
Methods: This is an exploratory educational study that focuses on students’ perceptions of the hybrid case-based learning and small- group teaching approach, along with student and faculty feedback on the use of artificial intelligence in case generation. The data was analyzed using descriptive statistics and thematic coding.
Results: Students reported overwhelmingly positive perceptions of enhanced subject knowledge, clinical reasoning, and examination preparedness, while fostering collaborative learning under the facilitation of subject experts. Faculty reported highly positive perceptions of using artificial intelligence to generate case vignettes that align with the learning objectives, while also highlighting the significance of human oversight.
Conclusion: The integration of innovative AI-generated, faculty-validated case study materials delivered through small-group facilitated learning was well received by both students and educators, as evidenced by their feedback. This approach supports active learning, enhances higher-order cognition, strengthens practical applicability, and augments learner engagement, offering a feasible, cost-effective pedagogical model for teaching basic medical sciences in the dental curriculum. Keywords: artificial intelligence, active learning, case-based learning, collaborative learning, expert validation
| Item ID: | 91944 |
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| Item Type: | Article (Research - C1) |
| ISSN: | 1179-7258 |
| Keywords: | Artificial Intelligence, active learning, case-based learning, collaborative learning, expert validation |
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| Copyright Information: | © 2026 Malpe Gopal et al. This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v4.0) License (http://creativecommons.org/licenses/by-nc/4.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.ph |
| Date Deposited: | 16 Jun 2026 02:09 |
| FoR Codes: | 39 EDUCATION > 3901 Curriculum and pedagogy > 390199 Curriculum and pedagogy not elsewhere classified @ 80% 42 HEALTH SCIENCES > 4299 Other health sciences > 429999 Other health sciences not elsewhere classified @ 20% |
| SEO Codes: | 16 EDUCATION AND TRAINING > 1603 Teaching and curriculum > 160302 Pedagogy @ 100% |
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