The Learning Curve

In the fourth episode of The Learning Curve, Sanjay Srivastava speaks with Rochana Golani, VP of Learning and Enablement at Databricks, about how you train people for roles nobody can name yet. Their conversation explores why she expects AI fluency in every job but calls assessing who is at its cutting edge a myth, how Databricks infers employees' skills from the work they are already doing, and why she considers the ability to learn fast the single most important skill.

In the third episode of The Learning Curve, Sanjay Srivastava speaks with Michael Horn, co-author of "Disrupting Class" and co-founder of the Clayton Christensen Institute, about a theory he helped build nearly two decades ago and what still holds up. Their conversation explores why disruption stalled in K-12, why AI is now forcing higher ed to face the same reckoning past technologies did, and why Vocareum's own research at UC San Diego found that practice, not AI itself, cut developmental math failure rates by two-thirds.

In the second episode of The Learning Curve, Sanjay Srivastava speaks with Kemi Jona, Vice Provost for Online Education at the University of Virginia, about a growing contradiction in higher education: employers consistently rank real work experience above everything else, yet internship opportunities keep shrinking. Their conversation explores what that gap means for students, how UVA is responding with career academies and the AI4VA initiative, and what a new grand bargain between universities and employers could look like.

In the first episode of The Learning Curve, Sanjay Srivastava is joined by Sesh Murthy of UC San Diego for a conversation about how AI can support better learning when it is designed with intention. Together, they discuss the limits of one-size-fits-all support, the importance of preserving productive struggle, and how scaffolding and instant feedback can help learners build confidence and stay engaged. They also reflect on course redesign, increased practice, and early evidence that well-designed AI support can improve outcomes in gateway STEM learning.