Leveraging <scp>AI</scp> in Periodontal Reflective Portfolios: A Tool for Learning or a Crutch for Students?
The integration of Artificial Intelligence (AI) in dental education presents both opportunities and challenges, particularly in reflective portfolio writing-a key pedagogical tool in periodontology. Reflective portfolios enable students to bridge theoretical knowledge with clinical application by fostering critical thinking, self-awareness, and evidence-based reasoning. However, the use of AI in these assignments raises concerns regarding its potential to undermine deep reflection and independent analysis. While AI can facilitate idea generation and organization, it should not replace the fundamental reflective process necessary for professional growth. To address this challenge, incorporating AI literacy into dental curricula is essential. A structured educational framework emphasizing responsible AI use, hands-on training, and interdisciplinary collaboration can guide students in leveraging AI as a supportive tool rather than a substitute for critical thinking. Additionally, implementing rubrics that assess depth of reflection and clinical insight ensures that AI complements rather than detracts from learning objectives. By establishing clear expectations and providing targeted feedback, educators can help students navigate AI-enhanced learning while maintaining the integrity of reflective practice. Initial student feedback suggests a promising integration of AI in periodontal education when used appropriately. As AI continues to shape dental education, its role must be carefully managed to preserve the essential reflective processes that cultivate competent and self-aware healthcare professionals.
Authors
- Kavitha Parthasarathy
- Navid N. Knight
- Jing Huang (ORCID: https://orcid.org/0000-0002-3847-416X)
Institutions
- University of the Pacific (US)
Publication Details
- Journal
- European Journal Of Dental Education
- Published
- 2025-09-19
- DOI
- https://doi.org/10.1111/eje.70052
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00