ISTELive 23: Searching for the Best Approaches to Teaching in the Age of Generative AI episode artwork

EPISODE · Jul 12, 2023 · 14 MIN

ISTELive 23: Searching for the Best Approaches to Teaching in the Age of Generative AI

from Learning Unleashed: ISTE Radio · host BAM Radio Network

We kick off the Summer of AI Series with a search for the best ideas, thinking, and strategies to gear up for teaching in the age of generative AI. Our first guest is a past president of ISTE's board of directors who brings a deeply informed and energetic take on the questions we'll need to answer this summer to prepare for the next term. Follow on Twitter: @ISTEofficial @mrhooker @billbass @hyphenatic @jonHarper70bd @shellthief @bamradionetwork #ISTE23 #edchat #edtech #edtechchat Get the Book: Leading From the Library Bill Bass is an award-winning educator and former English teacher who now serves as Innovation Coordinator for Instructional Technology, Information, Library Media, and Federal Programs in the Parkway School District in St. Louis, MO. As an international speaker, writer, and professional developer, he focuses on systemic and sustainable integration of technology into classrooms at all grade levels. Bill has served as the ISTE Board of Directors president and was named one of NSBA’s 20 to Watch EdTech Leaders. He is an ISTE Certified Educator, Google Certified Innovator, Google for Education Certified trainer and has written numerous articles and book chapters. He has also authored three books: From Inspiration to Red Carpet (ISTE 2012), Digital Reading: What’s Essential in grades 3-8 (NCTE 2015), and Leading from the Library (ISTE 2019). Bass was recognized during the Consortium for School Networking Conference on April 3 in Chicago, Ill. This is the 11th year of NSBA’s “20 to Watch” program, created in 2006 to identify emerging leaders who would be helping to shape the national conversation about education technology for the next 20 years.

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ISTELive 23: Searching for the Best Approaches to Teaching in the Age of Generative AI

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