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Beyond the Hype: AI's Real Impact on K-12 Learning with Nancy Ruzycki

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Manage episode 429325227 series 3558856
Content provided by PocketLab. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by PocketLab or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Challenges, implications, rapid evolution and the future of Ai The conversation covers various topics related to AI and its impact on education. Nancy discusses the technology stack behind AI, the role of AI in education, the limitations of AI models, and the potential costs and implications of AI in the classroom. The conversation explores the limitations and potential biases of GPTs, the role of AI in education, the importance of human agency and critical thinking, and the hidden costs of convenience. It also touches on the rapid development of AI technology and the need for ongoing discussions and considerations. The conversation ends with a discussion on the unpredictable nature of technological advancements and the potential negative consequences of certain innovations. Nancy's flyer for links and resources for teachers: https://hubs.ly/Q02GFBzY0 Free AI and data science curriculums https://lor.instructure.com/?q=ruzycki Links to free resources and vendors/partners with AI and data science: https://docs.google.com/document/d/129B8CvI0XmenUYoCiC89YBXWY0FP_wPq/edit

Engaged Quality Instruction Through Professional Development: https://equipd.mse.ufl.edu

UF AI Teachers in residence: https://docs.google.com/document/d/15u23tKqgq_ZxcI9B5WCX9vxLX7rQcd57/edit

ABOUT NANCY

Dr. Nancy Ruzycki is an Associate Instructional Professor within the Herbert Wertheim College of Engineering, Department of Materials Science and Engineering. Her research work is in creating teacher professional development for complex topics in STEM using system thinking and a conceptual modeling pedagogical framework. She also studies mentorship in STEM organizations and informal learning settings. She also holds an undergraduate degree in Chemistry Education and has National Board Certification for Physics. Ruzycki currently works upskilling teachers in Artificial Intelligence and Data Science, and has written the Middle School Career and Technical Education Frameworks for AI and Data Science, and the High School Frameworks for Data Science in the state of Florida. She has received over $12 million dollars in funding for her work.

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68 episodes

Artwork
iconShare
 
Manage episode 429325227 series 3558856
Content provided by PocketLab. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by PocketLab or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Challenges, implications, rapid evolution and the future of Ai The conversation covers various topics related to AI and its impact on education. Nancy discusses the technology stack behind AI, the role of AI in education, the limitations of AI models, and the potential costs and implications of AI in the classroom. The conversation explores the limitations and potential biases of GPTs, the role of AI in education, the importance of human agency and critical thinking, and the hidden costs of convenience. It also touches on the rapid development of AI technology and the need for ongoing discussions and considerations. The conversation ends with a discussion on the unpredictable nature of technological advancements and the potential negative consequences of certain innovations. Nancy's flyer for links and resources for teachers: https://hubs.ly/Q02GFBzY0 Free AI and data science curriculums https://lor.instructure.com/?q=ruzycki Links to free resources and vendors/partners with AI and data science: https://docs.google.com/document/d/129B8CvI0XmenUYoCiC89YBXWY0FP_wPq/edit

Engaged Quality Instruction Through Professional Development: https://equipd.mse.ufl.edu

UF AI Teachers in residence: https://docs.google.com/document/d/15u23tKqgq_ZxcI9B5WCX9vxLX7rQcd57/edit

ABOUT NANCY

Dr. Nancy Ruzycki is an Associate Instructional Professor within the Herbert Wertheim College of Engineering, Department of Materials Science and Engineering. Her research work is in creating teacher professional development for complex topics in STEM using system thinking and a conceptual modeling pedagogical framework. She also studies mentorship in STEM organizations and informal learning settings. She also holds an undergraduate degree in Chemistry Education and has National Board Certification for Physics. Ruzycki currently works upskilling teachers in Artificial Intelligence and Data Science, and has written the Middle School Career and Technical Education Frameworks for AI and Data Science, and the High School Frameworks for Data Science in the state of Florida. She has received over $12 million dollars in funding for her work.

  continue reading

68 episodes

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