The first school year in the age of generative AI is historic and is raising many big questions. AI Café is where active classroom teachers meet to share what we've learned about managing generative AI in the classroom this week? Grab a cup of coffee with a middle school teacher, a university professor, an early childhood educator-technology specialist, and an education researcher as we meet to share our weekly discoveries. We cover it all from the aha moments to mistakes we’ve made, and the lessons we learned. We cap the meet-up by sharing the AI tools we found most helpful and effective.
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The first school year in the age of generative AI is historic and is raising many big questions. AI Café is where active classroom teachers meet to share what we've learned about managing generative AI in the classroom this week? Grab a cup of coffee with a middle school teacher, a university professor, an early childhood educator-technology specialist, and an education researcher as we meet to share our weekly discoveries. We cover it all from the aha moments to mistakes we’ve made, and the lessons we learned. We cap the meet-up by sharing the AI tools we found most helpful and effective.
How Much Student Struggle Is Productive, How Much Gen AI Is Too Much?
AI CAFE
25 minutes
1 year ago
How Much Student Struggle Is Productive, How Much Gen AI Is Too Much?
This week, we discussed the balance between utilizing technology and maintaining foundational skills. The speakers discuss the importance of struggle in the learning process, the potential dangers of over-reliance on AI, and the need for structured, purposeful use of technology in educational settings. They reflect on their experiences with students and the challenges of integrating AI effectively while ensuring students develop critical thinking and problem-solving skills.
Follow on Twitter: @ideasforteacher @DrBioTom @jonHarper70bd @CFKurban @JBR_Kleinmann @bamradionetwork
Resources: ChatGPT | AI LABS | School AI | Magic School | Hacking GenAI in Education: Conversation Starters
Dr. Caroline Fell Kurban is the advisor to the Rector at MEF University. Caroline previously was Director of the Center of Research and Best Practices for Learning and Teaching (CELT) at MEF University. She also teaches in the Faculty of Education. She has taught, trained, and managed in schools and universities in her twenty-year career. She holds a BSc in Geology, an MSc in TESOL, an MA in Technology and Learning Design, and a PhD in Applied Linguistics.
Dan Jones earned a BS in Middle Grades Education from Ashland University and a Master’s Degree in Curriculum and Instruction from the American College of Education. Dan is an FLGI Master Teacher whose professional interests include e-learning, technology, and Project-Based Learning.
Dr. Juli Ross-Kleinmann is an experienced Administrator/ Instructional Specialist who has worked in primary, secondary, and higher education and is skilled in authentically integrating educational technology, professional development, curriculum planning, instructional design, and organizational leadership. Juli has a Master of Science in Education (Administration & Supervision) focused in Elementary and Middle School Administration/Principalship from Fordham University. She served for three years on the board of ISTE and is an ISTE-certified educator.
Jon Harper is an elementary school teacher and a former assistant principal at Choptank Elementary School in Cambridge, Maryland. He was a math coach and taught first through fifth grades. He is the author of My Bad: 24 Educators Who Messed Up Fessed Up and Grew! He Hosts the Teachers’ Aid podcast.
AI CAFE
The first school year in the age of generative AI is historic and is raising many big questions. AI Café is where active classroom teachers meet to share what we've learned about managing generative AI in the classroom this week? Grab a cup of coffee with a middle school teacher, a university professor, an early childhood educator-technology specialist, and an education researcher as we meet to share our weekly discoveries. We cover it all from the aha moments to mistakes we’ve made, and the lessons we learned. We cap the meet-up by sharing the AI tools we found most helpful and effective.