Workshop C

Integrating Artificial Intelligence into Health Sciences Education: A Framework for Teaching and Learning

Meredith A. Bailey, DMD, MBA

General Dentistry, Goldman School of Dental Medicine

Room L206

Artificial intelligence (AI) is increasingly shaping both healthcare delivery and education. Faculty need a clear understanding of what AI is, how it works, and how it can be used responsibly, as well as how to prepare students to engage with these technologies and develop technical literacy.

Participants will be introduced to key concepts in AI using a dental curriculum model to demonstrate how integration can be achieved across health sciences disciplines. The goal is to provide faculty with a practical framework for understanding and incorporating AI into their own teaching environments.

This session includes interactive discussion to explore how AI is currently being used in teaching, learning, and assessment across disciplines. It also emphasizes that AI is a tool to support, not replace, professional judgment, critical thinking, and the role of the educator.

Target Audience:

Faculty, course directors, and educational leaders across health sciences disciplines

Learning Objectives:
  • Describe foundational concepts in artificial intelligence, including key terminology and basic principles of machine learning and large language models.
  • Explain how AI can be integrated into health sciences education to support teaching, learning, and assessment across disciplines using a dental curriculum model.
  • Evaluate the use of AI-supported educational tools, including Noodle Factory, within a course setting.
  • Identify key ethical considerations associated with the use of AI in education, including bias, transparency, and the importance of professional judgment.
  • Interactive collaboration to discuss and share practical considerations for incorporating AI into curriculum design and student support
Session Outline:
  • Introduction and Overview (5 minutes): Overview of core AI concepts and terminology, using examples from dental education to establish a practical foundation.
  • Curriculum Design and Teaching Framework (15 minutes): Presentation of a structured approach to designing, implementing, and teaching an AI curriculum in a clinical education environment, including foundational concepts, clinical and non-clinical applications, and alignment with learner level.
  • AI in Health Sciences Education (15 minutes): Discussion of current and emerging applications of AI in teaching, learning, and assessment, with emphasis on adaptability across disciplines and interactive participant input.
  • Demonstration and Application (10 minutes): Demonstration of Noodle Factory, including real-time tutoring, case-based learning, and formative assessment, with discussion of faculty oversight and alignment with course objectives.
  • Ethical and Practical Considerations (10 minutes): Review of key considerations, including bias, transparency, limitations of AI tools, and the importance of maintaining human judgment.
  • Discussion and Q&A (5 minutes): Open discussion and participant questions.