Education researcher Susanna Loeb studies the broad spectrum of learning experience, including ways to recruit and retain expert teachers, how to optimize classrooms, and the impact of technology on learning. She says pandemic-inspired innovations in tutoring have led to greater student engagement and improved learning outcomes. And on the growing influence of AI in education, Loeb counts herself an optimist. She sees it as a tool for good, enhancing personalized learning and supporting teachers. These innovations that didn’t exist a few years ago stand to help students to thrive, Loeb tells host Russ Altman on this episode of Stanford Engineering’s The Future of Everything podcast.

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Chapters:

(00:00:00) Introduction

Russ Altman introduces guest Susanna Loeb, a professor of education at Stanford University.

(00:02:58) Path into Education

Susanna’s journey from engineering to education and her focus on impact at scale.

(00:04:41) The Field of Learning Science

The different approaches and challenges in education and its research.

(00:07:06) Tutoring After the Pandemic

How COVID exposed learning gaps and accelerated interest in tutoring.

(00:10:14) What Makes Tutoring Effective

The different factors that go into making tutoring effective.

(00:12:16) Spreading Proven Practices

Using proof points and partnerships to drive adoption across districts.

(00:14:00) Building Education Networks

The importance of trusted relationships and communication channels.

(00:14:50) AI in the Classroom

How schools are beginning to adopt AI tools and respond to demand.

(00:16:00) AI & Education

How teachers are leading AI adoption, with limited direct student use.

(00:19:37) A Framework for Using AI

The focus on improving student experiences and personalized learning.

(00:21:23) Studying AI in Real Time

Challenges of evaluating fast-changing tools and the need for rapid testing.

(00:23:22) Partnering with AI Companies

Collaborating with industry to test tools like ChatGPT in schools.

(00:25:26) AI & Tutoring

Blending human tutors with AI support to improve outcomes.

(00:27:22) The Limits of AI Tutors

Why human motivation and relationships remain essential.

(00:28:54) The Future of Education Systems

Balancing innovation with equitable access and student engagement.

(00:30:51) Future In a Minute

Rapid-fire Q&A: optimism, scaling education, and collaboration.

(00:32:54) Conclusion

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