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Hands-On or High-Tech? Finding the Right Balance in STEM Teaching
Balancing hands-on and high-tech learning in STEM teaching with insights from Nancy Ruzycki on AI, simulations, and curriculum challenges in...
1 min read
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.
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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