In this episode, Kevin Evans and Steve Rogalsky discuss the evolving landscape of education technology (EdTech) and the transformative potential of artificial intelligence (AI) in learning.
They reflect on their experiences at the Prairie Dev Conference, emphasizing the importance of community and networking in professional growth. The conversation delves into the distinction between generative and transformative learning, the ethical implications of AI in education, and the need for personalized learning experiences.
They also explore the barriers to access in education and the potential of AI to democratize learning globally. The episode concludes with thoughts on the future of AI in education and the importance of generosity in fostering transformation. Takeaways Conferences can be a catalyst for career growth. EdTech focuses on solving educational problems with technology. Generative AI can create content but should aim for transformative learning.
AI can personalize education to meet individual learner needs. Ethics and guardrails are crucial in AI applications. Technology can democratize access to education. Javan's paradox suggests that efficiency can lead to higher demand. AI can enhance the role of teachers rather than replace them. The future of work will involve more AI integration.
Generosity in sharing knowledge can transform lives.
Chapters
00:00 Introduction and Conference Reflections
02:46 Transitioning in EdTech and AI Exploration
05:36 Understanding EdTech and Lifelong Learning
08:47 Generative vs. Transformative Learning with AI
11:35 AI in the Classroom: Personalized Learning Experiences
14:42 Use Cases in Psychology and Mathematics
17:22 Governance and Ethics in AI Education
20:13 Future of AI in Education and Job Impact
28:14 The Evolution of Technology and Job Creation
31:56 Access to Education and Lowering Barriers
35:08 The Impact of AI on Work and Creativity
39:13 Vibe Coding and Its Disruptive Potential
45:50 Generosity and Transformation in Technology
