EP 316: The Future of Generative AI in the Classroom. How Will It Work?

Win a free year of ChatGPT or other prizes! Find out out.Should classrooms be banning AI? Or should they be encouraging students to use it at every step of the way? And with so much uncertainty, how can we be prepared for what the future of education looks like? Jules White, Senior Advisor to the Chancellor for Generative AI in Education at Vanderbilt University, joins us to tackle those tough questions. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Jules questions on AI and educationRelated Episodes:  Ep 168: AI in Higher Education is Broken. How to Fix it.Ep 252: What schools need to do now to benefit from an AI futureUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:1. AI Content Detectors in Education2. Importance and Need for AI Training3. Embracing Technology in Education4. ChatGPT and its Impact on Higher Education5. Ethical and Legal Issues with AI Training PracticesTimestamps:01:30 Daily AI news05:00 About Jules and his role at Vanderbilt University08:19 Rapid adoption of AI presents challenges.13:16 Teaching generative AI as a foundational skill is essential.16:39 Self-learners benefit from personalized learning tools.23:01 Understanding generative AI is crucial for students.26:52 Faculty creatively engage students in language learning.29:16 Thesis flagged, AI detectors lack nuance.31:48 New technology creates growth, risks irrelevance.Keywords:AI content detectors, AI in education, intentional use of AI, innovation in technology, augmented intelligence, critical thinking, creativity in education, chat GPT, interdisciplinary challenges, free AI course, higher education changes, prompt engineering, AI biases, generative AI, AI in the classroom, Google and OpenAI controversy, Imagine 3, Eureka Labs, traditional teaching methods, AI learning experiences, AI adoption challenges, generative AI skill demand, high school education, AI teaching incentives, university technology adaptation, AI detectors critique, conflicting perspectives on data, personalized learning, online learning resources, mental atrophy due to AI reliance.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)