The future of education

The Future of Everything33mApril 17, 2026

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AI-Generated Summary

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.

Key Takeaways
1

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.

2

AI should be used to support teachers and enhance human tutoring, not replace the personal relationships that drive learning.

3

Scaling effective education requires innovative workforce solutions like training college students and teacher candidates as tutors.

4

Rapid, real-time research using A/B testing and partnerships with tech companies is essential to safely and effectively integrate AI into classrooms.

5

Equitable access to high-quality learning experiences must be prioritized, especially for students in underserved communities.

…and 3 more takeaways available in PodZeus

Chapters
0:00
5 min

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.

5:00
12 min

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.

Highlight
16:49
14 min

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.

30:20
12 min

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.

Highlight
42:02
9 min

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.

Highlight
High-Impact Quotes
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.
Susanna Loeb31:15
Viral: 90.0
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.
Susanna Loeb18:07
Viral: 88.0
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.
Susanna Loeb31:36
Viral: 87.0
Speakers

Host

Russ Altman

Guest

Susanna Loeb
Topics Discussed
personalized learning95%ai in education92%tutoring effectiveness90%educational equity88%teacher support and technology85%systemic change in education80%research-driven policy75%real-time learning systems70%
People & Brands

susanna loeb

person

12xPositive

russ altman

person

10xPositive

stanford university

organization

8xPositive

chatgpt

product

6xNeutral

districts

organization

5xNeutral

openai

organization

4xPositive

stanford institute for economic policy research

organization

3xPositive

k-12

organization

3xNeutral

grammarly

product

2xNeutral

ai for education hub

organization

2xPositive

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