Dr. Michelle Kassorla on Inverting Bloom’s Taxonomy: Teaching for Thinking in the Age of AI
In this episode of the Smarter Campus Podcast, Zach sits down with Michelle Kassorla to explore how artificial intelligence is reshaping pedagogy, assessment, and what it truly means to learn.
Dr. Kassorla introduces a powerful reframing of Bloom’s Taxonomy for the AI era. If AI can now create first, then the real intellectual work for students begins afterward—through evaluation, analysis, application, and reflection. Rather than resisting this shift, she argues that educators should redesign learning to emphasize process over product.
Together, they discuss:
- Why AI should be treated as a starting point, not an endpoint
- How “Inverted Bloom’s Taxonomy” changes assignment design
- Why grading the journey eliminates the incentive to cheat
- The limits of AI detection and the harm of adversarial classrooms
- How shared vulnerability between faculty and students builds trust
- Practical ways to scaffold assignments and assess AI transparency
This episode offers a concrete, actionable framework for educators ready to move beyond detection and toward learning environments that reward thinking, iteration, and human judgment.
