Episode Details
Back to Episodes
Best of: The future of computer-aided education
Description
Commencement season is here and, as many students are closing one chapter and stepping into the next, it's a nice moment to ask: what did learning really look like for these students, and how might it change for the next generation? With those questions in mind, we’re re-releasing a conversation with Computer Science Professor Chris Piech on the future of computer-aided education. Chris studies how computers can and will help students learn. His message isn't that teachers are obsolete — far from it. He shares that the future of education certainly involves AI, but that we must never lose the human element. Whether you're a new grad, a lifelong learner, or an educator wondering what's coming next, this one is well worth another listen.
Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu.
Episode Reference Links:
- Stanford Profile: Chris Piech
Connect With Us:
- Episode Transcripts >>> The Future of Everything Website
- Connect with Russ >>> Threads / Bluesky / Mastodon
- Connect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook
Chapters:
(00:00:00) Introduction
Russ Altman introduces guest Chris Piech, a professor of computer science from Stanford University.
(00:01:44) Teaching People to Code
What programming is and why learning to code can be challenging.
(00:02:54) Motivation in Learning
Why joy and motivation are central challenges in education.
(00:03:54) Recent Learners as Teachers
How near-peer teachers helped scale a Stanford coding course to thousands
(00:07:10) AI and Computer Programming
How generative AI is changing coding for students and professionals.
(00:09:24) The Joy of Programming
How AI tools can expand what learners are able to create.
(00:12:41) Experiments with Teaching
What experiments reveal about one-on-one teaching & AI support.
(00:14:39) Rethinking Assessment
The value Piech sees in computational assessment.
(00:16:38) Fairness in Grading
Why AI grading raises questions about bias, context, and real-world use.
(00:20:59) Feedback & Assessment
How computers can evaluate creative and less structured assignments.
(00:22:21) Dream Grader
A system that interacts with student projects to understand and assess them.
(00:25:30) Beyond the Cla