The future of education
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In this episode of The Future of Everything, host Russ Altman speaks with Susanna Loeb, a professor of education and senior fellow at the Stanford Institute for Economic Policy Research, about the future of education and the transformative potential of technology, particularly AI. Loeb emphasizes that the core of effective education lies in creating meaningful, personalized learning experiences—especially for disengaged students—drawing from her research on intensive tutoring that gained urgency during the pandemic. She explains that while one-on-one tutoring three times a week for 30–45 minutes is highly effective, scaling it requires innovative workforce solutions like leveraging college work-study students and teacher candidates as tutors. The conversation then turns to AI, where Loeb highlights its current use primarily by teachers for time-saving tasks like lesson planning and communication, but notes a critical lack of rigorous research on its impact on students. She advocates for rapid, real-time learning systems using A/B testing and partnerships with tech companies like OpenAI to evaluate tools ethically and effectively. Loeb remains optimistic, stressing that AI should augment—not replace—human relationships in education, and that the future depends on flexible, equitable systems built on collaboration and evidence. Key takeaways include: 1) Personalized, relationship-based tutoring is one of the most effective educational interventions, and it can be scaled with creative workforce strategies; 2) AI’s greatest value in education lies in supporting teachers and enhancing human-tutor interactions, not replacing them; 3) The education system must adopt agile, real-time research methods to keep pace with fast-moving technology; 4) Success depends on deep partnerships between researchers, educators, and tech developers; 5) The ultimate goal should be ensuring every student, especially those in underserved communities, has access to engaging, high-quality learning experiences. The episode closes with a hopeful vision of education as a dynamic, human-centered system enhanced by technology.
Intensive tutoring three times a week for 30–45 minutes is one of the most effective ways to help disengaged students catch up and thrive.
AI should be used to support teachers and enhance human tutoring, not replace the personal relationships that drive learning.
Scaling effective education requires innovative workforce solutions like training college students and teacher candidates as tutors.
Rapid, real-time research using A/B testing and partnerships with tech companies is essential to safely and effectively integrate AI into classrooms.
Equitable access to high-quality learning experiences must be prioritized, especially for students in underserved communities.
…and 3 more takeaways available in PodZeus
The Power of Learning Experiences
Host Russ Altman introduces the episode by reflecting on the importance of meaningful educational experiences and how research can help create them. He sets the stage for a conversation with Susanna Loeb about how education research is evolving to meet modern challenges.
Tutoring as a Pandemic Catalyst
“Students who are disengaged, if they have an adult that they work with regularly at the right level, who teaches at the right level and also motivates and engages them, you can make dramatic changes.”
Scaling Tutoring and Systemic Barriers
The conversation explores the logistical challenges of scaling tutoring, including workforce shortages and district-level decision-making. Loeb outlines strategies like using college students as tutors and creating proof points from successful programs to encourage broader adoption.
AI in Education: Current Landscape and Research Gaps
“We are working in a space where we know very little, where things are happening really quickly and that it's going to be important to set up ways of learning and adjusting quickly in real time.”
The Future of AI and Human Collaboration
“The human on the two days a week are really motivating for the students, which encourage them to work on the platform on their own on those other two days.”
“What gives me the most hope is how many people are working really incredibly hard to create better opportunities for students. And some of them are using new technologies, but almost all of it still builds on the power of strong relationships between educators and students.”
“We are working in a space where we know very little, where things are happening really quickly and that it's going to be important to set up ways of learning and adjusting quickly in real time.”
“We actually know a lot about the experiences that help young people learn and thrive. And the real challenge and opportunity is figuring out how to make those experiences possible for every student.”
Host
Guest
susanna loeb
person
russ altman
person
stanford university
organization
chatgpt
product
districts
organization
openai
organization
stanford institute for economic policy research
organization
k-12
organization
grammarly
product
ai for education hub
organization
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