• AI As a Finishing Agent

  • Mar 1 2024
  • Length: 36 mins
  • Podcast
AI As a Finishing Agent cover art

AI As a Finishing Agent

  • Summary

  • 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 Presentation00:55 The Role of AI in Education02:11 Addressing Plagiarism in the Age of AI05:07 The Impact of AI on Teaching and Learning15:08 The Changing Landscape of Writing with AI19:00 The Future of AI in EducationMaintain the human connection first and foremost. AI detectors are not that good. Detectors introduce a surveillance culture into our classrooms. AI Detectors destroy trustDon’t have the full impact of rolling out AI tools into writing practices?Hesitant to go all-in, but also interested in doing some things with AI. Generating ideas ex-nihilo We need to do more to prod students because of the pandemicNot having the stamina to do things from scratch and then having technology that can do it effortlessly. One method is to ignore the AI Tools. One method is to adopt the AI Tools. One method is to adopt some AI Tools. The Other Wes MooreGiving kids specific prompts, brainstorming, etc. Using AI more socratically. Khanmigo asks more questions. Concentrated human space for drafting. Some commentary from AI It’s easy to get AI to do anything, but hard to get it to do one thing. Using AI as a finishing agent. Need to give AI systems the logical connections between my ideas. How using AI himself has helped him use it with his students.Using it to generate classroom materials.How you’ve used AI yourself.Audiopen.aiAI is becoming a prosthesis for learning. Skipping over the cognitive gains that come from the sustained critical engagement with the writing process. How to prevent AI from encroaching on cognitive gains. What outcomes do we want to see? Help teachers build up watchpoints or criteria to help them know what they should focus on. What criteria can we use to evaluate use? Power comes from engaging with the toolsTraining materials to use the products to see what is possible. My initial response to AI in winter and spring of 2023: Exploration of AI detection software, going so far as to securing quotes for large packages for my schoolMy summer of study: a personal search for AI literacy My initial report of AI x Education published at AI SupremacyMy late summer realization:AI detections are inaccurate, unreliable, inspire a surveillance cultureMy favorite post on the topicNew research program: How does the integration and implementation of AI into today’s classroom impact students' acquisition of more traditional literacy and writing skills and competencies?In Sept, very little evidence to ground new practicesThus, experiments: very gradual, incrementalA collective research project Writing as knowledge-generationThe sentence as the locus of new or different thought generationMy responseMy current thinking: AI allows students to generate both content-knowledge and skills-knowledgeStudents need to know how to write in order to prompt; writing doesn’t disappear in the AI landscape, it just takes on a different formConceptualizing the AI-human workflowDifferent options currently under considerationAlan KnowlesIt is my sense that there will not be one “right” way to conceptualize AI-human interactions; that the framework will be context drivenImplementation ChallengesK-12: The major research question has not been sufficiently answered with evidence yet. Different models:Ignore AI–build traditional skills: introduce AI late in high schoolHybrid: hope a reinforcing feedback loop occurs All-in: Writing becomes writing to generate textThis is not just a pedagogical debate: moral, philosophical, cultural, politicalProbably, no universal across US K-12; more regional approaches subject to change depending upon electoral cycles, technological meltdowns, shifts in news cycles, etc. About Nick PotkalitskyNick 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 ...
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