Welcome to another episode of AI Goes to College, the podcast where Craig and Rob break down what’s really happening with Generative AI in higher education. In this episode, Rob shares a professional update and the hosts dive straight into a candid conversation about the urgent need for action when it comes to embracing and experimenting with AI in the classroom. Forget waiting for the “perfect plan.” Craig and Rob encourage faculty and academic leaders to start doing, iterating, and learning as the technology—and the educational landscape—continues to evolve.

They tackle the risks and realities educators face, from teaching evaluations to institutional inertia, and explore the challenges of moving beyond a “grade economy” where effort is traded for grades. The conversation gets real about shifting mindsets, focusing on genuine demonstrations of learning, and the importance of collective action in higher ed to adapt to the AI transformation. Plus, get a practical tip to supercharge your workflow: how to use Chrome Split View (and Edge’s version) to work side-by-side with AI tools and documents.

If you’re looking for honest discussion, actionable advice, and a bit of humor about the trials and opportunities of AI in academia, this episode is for you. Don’t miss out!

Takeaways:

1. The concept of the grade economy has led to a transactional view of education, where students equate effort directly with grades, rather than focusing on genuine learning.
2. It is essential for educators to embrace iterative approaches in their classrooms, similar to how college football playoffs evolved, rather than waiting for the perfect solution.
3. The rapid evolution of AI tools necessitates that educators continuously adapt their teaching methods to remain relevant and effective in fostering student learning.
4. We must challenge the conventional grading system that incentivizes minimal effort by students, and instead focus on developing intrinsic motivation to learn.
5. Transparency in teaching strategies and the incorporation of AI should be communicated to students to foster a collaborative learning environment.
6. Educational institutions must engage in systemic change to address the flaws in the current grading system, moving away from a production line mentality towards genuine assessments of learning.