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Purpose:
The primary purpose of our panel discussion is to dive into the evolving landscape of generative artificial intelligence (AI) and discern its implications and transformative potential for the realm of education.
Objectives:
To provide participants with a comprehensive understanding of generative AI in the context of education.
To explore AI-driven methodologies for their relevance in educational settings.
To address the ethical and practical implications of integrating AI into educational practices.
To share best practices and strategies for effective AI implementation in the curriculum.
To discuss the challenges educators face in keeping pace with rapid technological advancements.
To showcase the success and challenges of AI integration in education.
Introduction (5 minutes)
Brief introduction of each panelist and their expertise.
Overview of the session's format and objectives.
Audience Voting on Pre-submitted Questions (2 minutes)
Presentation of questions pre-submitted by panelists.
Audience uses their devices to vote on which questions they'd like addressed.
Panel Discussion Based on Top-voted Questions (45 minutes)
Moderator poses top-voted questions to the panelists.
Each panelist provides their insights and answers.
After each question, the audience uses their devices to award points to the panelist with the best response.
Conclusion & Acknowledgment (5 minutes)
Highlighting key insights from the discussion and acknowledging panelists' contributions.
Moderator summarizes the session's main points and thanks participants.
Announcement of the panelist with the most points from audience votes.
Process for Audience Engagement:
Device-based Activities: Attendees actively use their devices for voting on questions and awarding points to panelists.
Competitive Element: Audience involvement is heightened with the points-awarding system, gamifying the panelist responses and encouraging lively discourse.
This refined structure ensures the session is both participatory and engaging, giving attendees an active role in shaping the discussion and acknowledging the insights they value most.
This panel has been significantly enriched by various influential sources. Notably, The Generative Age podcast has featured educators, such as these panel members, over the past year who explore the integration of generative artificial intelligence within the classroom setting. The insights shared during these episodes have profoundly influenced our approach to delivering this experience.
Furthermore, our moderator, Alana Winnick, is the esteemed author of "The Generative Age: Artificial Intelligence and the Future of Education." Over the past year, Alana has dedicated her time to extensive research, experimentation, and staying abreast of the ever-changing educational landscape. Her expertise and commitment have greatly contributed to the depth and relevance of our content.
Many of our panelists also published books on AI, including:
50 Strategies for Integrating AI Into the Classroom - Donnie Piercey
AI For Educators - Matt Miller
Learning Evolution - Carl Hooker
Reinventing Writing AND Flattening Classrooms - Vicki Davis
Additional researchL
Baidoo-Anu, D., & Owusu Ansah, L. (2023). Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning.
Halaweh, M. (2023). ChatGPT in education: Strategies for responsible implementation. Contemporary Educational Technology, 15(2).
Qadir, J. (2022). Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education.
U.S. Department of Education, Office of Educational Technology, Artificial Intelligence and Future of Teaching and Learning: Insights and Recommendations, Washington, DC, 2023.
Zhai, X. (2022). ChatGPT user experience: Implications for education.
Winnick, A. (2023). The Generative Age: Artificial Intelligence and the Future of Education. ConnectEDD.
Fitzpatrick, D., Fox, A., & Weinstein, B. (2023). The AI Classroom: The ultimate guide to artificial intelligence in education. TeacherGoals Publishing.
Miller, M (2023). AI For Educators. Ditch That Textbook.
Piercey, D (2023). 50 Strategies for Integrating AI Into the Classroom. Shell Education.
Hooker, C. (2023). Learning Evolution. XFactor Publishing.
How do I cite Generative AI in MLA style?. MLA Style Center. (2023, April 12). https://style.mla.org/citing-generative-ai/
Davis, V. (2014). Reinventing Writing. Routledge
Davis, V. (2012). Flattening Classrooms, Engaging Minds. Pearson
Klein, A. (2023, February 15). Outsmart CHATGPT: 8 tips for creating assignments it can’t do. Education Week. https://www.edweek.org/technology/outsmart-chatgpt-8-tips-for-creating-assignments-it-cant-do/2023/02
Universal Design for Learning: Center for Teaching Innovation. Universal Design for Learning | Cornell University’s Center for Teaching Innovation. (n.d.). https://teaching.cornell.edu/teaching-resources/designing-your-course/universal-design-learning