Artificial intelligence has challenged many traditional assumptions about assessment and student engagement in online asynchronous learning. Early responses often focused on reactive strategies such as AI detection, restrictive policies, and severe punishment. In practice, however, these approaches are frequently inappropriate, ineffective, or difficult to sustain.
This session explores an alternative approach: redesigning online coursework to encourage authentic participation and make inappropriate AI use less effective or less appealing. Drawing from practical experimentation across online/asynchronous courses in a Bachelor's in Nursing program, the presentation will share examples of assignments designed around creativity, physical interaction, decision-making, and narrative immersion. Examples include the use of fictive settings inspired by popular media (such as Jurassic Park), digitally mediated physical activities (performing actions in the real world and then sharing them with images/media), and engagement structures that emphasize process and personalization over easily generated outputs.
Rather than presenting definitive solutions (which may not exist), this session is intended as a collaborative conversation about what educators are trying, what appears promising, and where challenges remain. While not a formal workshop, participants will be invited to discuss strategies, share experiences, and consider how learning environments (online or otherwise) can evolve in response to rapidly changing AI capabilities while still maintaining flexibility, accessibility, and meaningful student engagement.
