Higher education is entering a pivotal moment in which traditional assessment models built for predictable, instructor‑centred learning environments are being reshaped by artificial intelligence, rapidly evolving learner behaviours and growing demands for authentic, skills‑based evaluation.
This webinar invites educators, academic leaders, policymakers and instructional designers to critically examine how assessment can evolve to remain credible, equitable and pedagogically meaningful.
Drawing on his teaching experience across college, polytechnic and university settings, Humber Polytechnic Professor Redwan Siddiqui illustrates how AI is altering student decision‑making, expectations of feedback and the cognitive processes underlying assessment tasks. The session integrates lessons on using generative AI for assessment redesign, highlighting evidence‑based strategies to develop human‑centred evaluation frameworks. These include approaches that foreground transparency, behavioural insight and authentic performance toward more resilient, future‑ready designs.
Participants will explore how AI can strengthen rather than undermine academic assessment by enabling richer demonstrations of learning, scalable evaluation practices, and ethical, learner‑centred assessment ecosystems. Ultimately, the session reframes AI not as a threat to academic integrity, but as an opportunity to redesign assessments that are more meaningful, adaptive and aligned with the realities of today’s digital learning landscape.
Key takeaways
Participants will be able to:
- Identify emerging shifts in learner behaviour driven by AI tools, and understand how these changes influence how students approach tasks, feedback and evaluation.
- Recognize structural gaps in legacy assessment systems, and understand why higher education requires new approaches that remain credible and meaningful in AI‑supported learning environments.
- Apply cross‑sector assessment insights drawn from teaching in college, polytechnic and university contexts, illustrating how different institutional environments shape effective evaluation design for the diverse classrooms.
- Explore concrete assessment innovations informed by research on generative AI, including methods that enhance authenticity, transparency and meaningful performance measurement.
- Develop a future ready perspective on human‑centred evaluation approaches that views AI not as a threat to academic integrity, but as a catalyst for pedagogical transformation and higher quality evaluation systems.
