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Google DeepMind: The Podcast
AI in the Classroom with Irina Jurenka
Oct 23, 2024
Irina Jurenka, a research lead at Google DeepMind with a focus on AI in education, dives into the transformative role of AI in the classroom. She discusses the balance between AI and human interaction in teaching, advocating for personalized AI tutors without replacing human educators. The conversation touches on enhancing education with technology, the journey from coding to AI, and the challenges of instilling critical thinking in AI systems. Jurenka emphasizes the importance of empathy in AI's interactions and the need for collaboration in developing educational tools.
39:56
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Quick takeaways
- AI in education is designed to complement human teaching by providing personalized learning experiences and tailored support for students.
- Maintaining meaningful human interactions in learning is crucial, as dependency on AI might hinder critical thinking and assessment skills.
Deep dives
The Resilience of Human Teachers
Despite the transformative potential of AI in education, the role of human teachers remains vital and resilient. Educational systems have been established for centuries, and many technologies in the past, like intelligent tutoring systems and MOOCs, have not fully replaced traditional methods. There is a strong emphasis on the social aspects of learning that occur in human interactions, which include critical thinking and global citizenship. AI should not aim to disrupt education entirely, but rather enhance the existing system by working alongside human instructors.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode