Abstract 1795 Navigating the AI Disruption: Tailoring Teaching for the Future

This talk explores the use of Generative AI (GAI) to revolutionize teaching in biochemistry and molecular biology. It focuses on two key applications: enhancing instructional design for active learning and simulating high-impact activities through deliberate practice. First discussed is GAI's role in instructional design. An example includes a visible learning bot, which assists in planning effective learning experiences based on "visible learning" principles. This AI-driven tool exemplifies how GAI can facilitate the creation of dynamic, engaging curricula, aligning with educational best practices. Secondly, the presentation showcases GAI's use to engage learners through "deliberate practice," which involves the considerable, specific, and sustained efforts of learners to do something they can't do well-or even at all-and become better at it. This kind of deliberate practice can be adapted to developing understanding complex subjects. This method demonstrates GAI's ability to provide interactive, simulated environments for practice, offering immediate feedback to learners across a range of realistic scenarios. The core theme is GAI's potential supporting instructors in a transition from traditional teaching methods to interactive, student-centered learning. Thoughtful use of GAI can not only enrich teaching practices but also elevates learning outcomes, helping instructors adapt to the evolving landscape of scientific education.