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Learning design: AI and machine learning for the adult learner
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What are effective methods that support adult learning? And how can modern tools and technology help in that effort?
On this episode of School’s In, we welcome Associate Professor Candace Thille to discuss the research and design behind successful adult learning. We also touch on the importance of feedback, and how it can make AI and other technology more useful in educational settings. Thille covers several topics, including:
- (3:02) The importance of feedback in learning technology
- (5:30) Feedback and deliberate practice in learning
- (7:50) Adult learning: Building on prior knowledge and experience
- (9:58) Learning design: Targeting skills and knowledge for the adult learner
- (13:11) AI, machine learning, and human agency
- (21:00) The importance of motivation in learning design
Candace Thille is an associate professor at Stanford Graduate School of Education (GSE), where she studies the science of human learning, with a focus on the intersection of adult and machine learning. She is also the faculty director for the adult and workplace learning initiative at the Stanford Accelerator for Learning, and a faculty affiliate of the Stanford Neurosciences Interdepartmental Program.
To learn more about her work, visit her profile.
School’s In is your go-to podcast for cutting-edge insights and fresh perspectives on the future of learning. Hosted by Stanford Graduate School of Education (GSE) Dean Dan Schwartz and Senior Lecturer Denise Pope, each episode dives into the latest research, innovations, and real-world challenges shaping education today.
Stanford GSE is at the forefront of education research and teacher preparation, dedicated to advancing equitable, accessible, and impactful learning experiences for all.
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