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In this episode of A Vision for Learning, host Jethro Jones invites AI literacy consultant, educator, and academic researcher, Nick  Potkalitsky. They discuss the significant role of Artificial Intelligence (AI) in the current and future education system. They explore the importance of building trust and transparency with students while integrating AI into learning practices. Nick shares insights into his teaching methodology, emphasizing that the AI tool works best at the beginning and end of the writing phase. However, he underlines the importance of ensuring AI does not replace critical thinking or become a helpline to avoid hard work but remains a useful tool that enhances learning. They also discuss the positives and pitfalls of plagiarism in the AI era and the ethical implications of AI use in both student learning and teacher resources creation.

00:00 Introduction and Guest Presentation

00:55 The Role of AI in Education

02:11 Addressing Plagiarism in the Age of AI

05:07 The Impact of AI on Teaching and Learning

15:08 The Changing Landscape of Writing with AI

19:00 The Future of AI in Education

  1. My initial response to AI in winter and spring of 2023: 
  1. My summer of study: a personal search for AI literacy
  1. My late summer realization:
  1. New research program: 
  1. Writing as knowledge-generation
  1. Conceptualizing the AI-human workflow
  1. Implementation Challenges

About Nick  Potkalitsky

Nick Potkalitsky is an AI Literacy Consultant, 7-12 Language Arts Instructor, and Academic Researcher in AI, Linguistics, Rhetoric, and Instruction. He has worked in both private and public settings with students from middle school to graduate school, bringing a wealth of knowledge about these various institutional spaces and students' social-emotional and academic development across this age range to my work developing responsive AI systems. On his Substack, Educating AI, he is currently collaborating with a growing team of researchers, designers, educators, and entrepreneurs to develop a cutting-edge, evidence-based AI literacy program that utilizes skills- and knowledge-generation criteria to guide specific implementations and integrations of AI into teacher work cycles and student case usage. In addition, he collaborates closely with several ed-tech firms developing and testing the next generation of AI-infused instructional tools, aiming to design products that prioritize the needs of teachers and students. He is excited to assist teachers, schools, and districts in creating lasting and meaningful solutions at all scales and stages of the AI integration process. 


We’re thrilled to be sponsored by IXL. 

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