In this episode of Make It Mindful, host Seth Fleischauer engages with Justin Reich, an MIT faculty member who critically examines the rapid evolution of AI and its implications in the educational landscape. Reich provides a nuanced perspective, challenging the prevailing excitement around AI's exponential growth and its integration into educational settings. He discusses the historical context of AI development, notably the shift from GPT-3 to GPT-3.5, and raises concerns about the sustainability of improvements in AI technologies given the finite nature of data sources. Reich also explores the classification of technologies as either adoption or arrival technologies, with AI posing unique challenges due to its sudden and pervasive emergence. Throughout the discussion, Reich emphasizes the importance of understanding AI's operational mechanics and advocates for a thoughtful and informed approach to integrating AI in educational practices, highlighting potential risks and the need for a critical assessment of new tools. His insights urge educators to consider both the immediate and long-term effects of AI on teaching and learning dynamics.
Guest Links:
- Justin Reich's podcast, the Teach Lab Podcast: Teach Lab Podcast
- Justin Reich's professional group at MIT, the Teaching Systems Lab: Teaching Systems Lab
- A specific subsection for AI-related content on the Teaching Systems Lab website: TSL MIT AI
What is Make It Mindful: Insights for Global Learning?
Make It Mindful: Insights for Global Learning is the podcast for globally-minded educators seeking thoughtful conversations about how education can adapt to an ever-changing world. Your host is Seth Fleischauer, former classroom teacher turned founder of an international learning company specializing in the teaching of global learning. Each episode features educational changemakers whose insights lead to practical solutions as we explore the interconnectedness of people, cultures, and systems and how these relationships shape transformative ideas in education.