• Redefining Academic Integrity in the Age of AI: A Talk with Dr. Kevin Yee

  • 2024/10/04
  • 再生時間: 1 時間 6 分
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Redefining Academic Integrity in the Age of AI: A Talk with Dr. Kevin Yee

  • サマリー

  • Links to free online books: AI Hacks for Educators

    60+ ChatGPT assignments to Use in the Classroom

    Link to Teaching and Learning with AI Conference

    In this episode of "AI Goes to College," we welcome Dr. Kevin Yee from the University of Central Florida for a conversation about how artificial intelligence is impacting academic integrity. The conversation explores the challenges and potential solutions surrounding AI tools like ChatGPT and their implications for cheating and the traditional methods of essay writing.

    Key points of discussion include:

    1. Challenges with AI: Dr. Yee elaborates on the difficulties that AI brings to academic integrity, specifically how these technologies can be used to cheat on assignments. He emphasizes the inadequacy of current AI detection tools, which often result in false positives and negatives, undermining trust and fairness.

    2. Adjusting Teaching Methods: The need to evolve teaching methods is highlighted, focusing on harnessing AI as an educational companion rather than fighting it. Dr. Yee advocates for assignments that integrate AI, prompting students to generate AI outputs and then critically analyze or improve them.

    3. Equity Issues: Both speakers discuss equity concerns, pointing out that in-class, handwritten assignments could disadvantage certain students, such as those with neurodivergent conditions or without a background in penmanship.

    4. Critical Thinking Over Output: There is a consensus that teaching should pivot more towards developing critical thinking and analytical skills, rather than merely focusing on the final product of writing.

    5. Institutional Approaches: Dr. Yee mentions the importance of institutions actively preparing for AI-related challenges by offering faculty training on AI fluency and maintaining continuous dialogue about advancements and their implications.

    6. Technology and Bias: They discuss the inherent biases in AI algorithms, which are influenced by the datasets on which they are trained, and the importance of educating students to recognize and analyze these biases.

    7. Future-Proofing Education: The conversation underscores the necessity for educational systems to remain agile and responsive to the rapid advances in AI technology, ensuring that students are prepared for a future where AI will be a part of their professional toolkit.

    Dr. Yee's insights provide valuable guidance around the complexities of AI in education, stressing the importance of adaptation, transparency, and integrity in leveraging these powerful tools. This episode is a critical listen for educators, administrators, and policymakers dealing with the evolving landscape of academic integrity in the age of AI.

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あらすじ・解説

Links to free online books: AI Hacks for Educators

60+ ChatGPT assignments to Use in the Classroom

Link to Teaching and Learning with AI Conference

In this episode of "AI Goes to College," we welcome Dr. Kevin Yee from the University of Central Florida for a conversation about how artificial intelligence is impacting academic integrity. The conversation explores the challenges and potential solutions surrounding AI tools like ChatGPT and their implications for cheating and the traditional methods of essay writing.

Key points of discussion include:

  1. Challenges with AI: Dr. Yee elaborates on the difficulties that AI brings to academic integrity, specifically how these technologies can be used to cheat on assignments. He emphasizes the inadequacy of current AI detection tools, which often result in false positives and negatives, undermining trust and fairness.

  2. Adjusting Teaching Methods: The need to evolve teaching methods is highlighted, focusing on harnessing AI as an educational companion rather than fighting it. Dr. Yee advocates for assignments that integrate AI, prompting students to generate AI outputs and then critically analyze or improve them.

  3. Equity Issues: Both speakers discuss equity concerns, pointing out that in-class, handwritten assignments could disadvantage certain students, such as those with neurodivergent conditions or without a background in penmanship.

  4. Critical Thinking Over Output: There is a consensus that teaching should pivot more towards developing critical thinking and analytical skills, rather than merely focusing on the final product of writing.

  5. Institutional Approaches: Dr. Yee mentions the importance of institutions actively preparing for AI-related challenges by offering faculty training on AI fluency and maintaining continuous dialogue about advancements and their implications.

  6. Technology and Bias: They discuss the inherent biases in AI algorithms, which are influenced by the datasets on which they are trained, and the importance of educating students to recognize and analyze these biases.

  7. Future-Proofing Education: The conversation underscores the necessity for educational systems to remain agile and responsive to the rapid advances in AI technology, ensuring that students are prepared for a future where AI will be a part of their professional toolkit.

Dr. Yee's insights provide valuable guidance around the complexities of AI in education, stressing the importance of adaptation, transparency, and integrity in leveraging these powerful tools. This episode is a critical listen for educators, administrators, and policymakers dealing with the evolving landscape of academic integrity in the age of AI.

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