Keynote Speaker

Dr. John B. Nash

Associate Professor of Educational Leadership Studies University of Kentucky

John Nash, with 30 years of leadership, strategy, and research experience, advocates for learner-centric schools through his role as the founding director at the University of Kentucky’s Laboratory on Design Thinking. He is a trusted advisor on generative AI for educators and policy makers, serving on advisory boards and presenting for various educational and governmental entities. His passion lies in advancing education through human-centered design, a topic he explores in his book “Design Thinking in Schools”. He has held faculty positions at several research universities and directed research projects at Stanford University.

Guest Virtual Speaker

Punya Mishra

Director of Innovative Learning Futures & Professor
Learning Engineering Institute (LEI) and Mary Lou Fulton Teachers College at Arizona State University

A TED-Ed educator and AERA Fellow Punya Mishra is internationally recognized for his work in educational technology, creativity, and design-based educational innovation. With over 62,000 citations of his work, he ranks in the top 2% of scientists worldwide, and top 50 scholars influencing educational policy. He previously served as Associate Dean of Scholarship & Innovation and director of doctoral programs (at MLFTC) and directed the award-winning MA in Educational Technology program at Michigan State University. He is an award-winning instructor, engaging public speaker, podcaster, and accomplished visual artist.

Conference Themes

By exploring these themes, attendees of the AI and The Future of Education Conference will gain valuable insights and practical strategies to successfully integrate AI into their classrooms and prepare their students for a rapidly changing world.

  • Transformative Teaching with AI

    • Personalization and Differentiation of Resources
    • AI-Driven Curriculum Development
    • Intelligent Tutoring Systems
    • Enhancing Classroom Engagement through AI
  • Ethical Considerations and Equity

    • AI Bias in Educational Tools
    • Ensuring Fair Access to AI Technologies
    • Data Privacy and Student Security
    • Ethical AI Implementation in Schools
  • AI for Assessment and Evaluation

    • Automated Grading Systems
    • AI in Formative and Summative Assessments
    • Predictive Analytics for Student Performance
    • Feedback Systems Powered by AI
  • Research, Case Studies and Real-World Implementations

    • Success Stories from Schools 
    • Collaborative Projects Between Educational Institutions and AI Companies
    • Presentations of research findings and studies from academia and beyond
  • Future Trends and Innovations

    • Emerging AI Technologies in Education
    • The Role of AI in Future Educational Models
    • Virtual and Augmented Reality in Learning
    • AI and the Future of Work: Preparing Students for Tomorrow’s Jobs
  • Building AI Literacy Among Educators and Students

    • Training Programs for Educators
    • Integrating AI Concepts into the Curriculum
    • Hands-on Workshops for Students
    • AI Literacy Initiatives and Outreach Programs
  • Collaboration Between Stakeholders

    • Partnerships Between EdTech Companies and Schools
    • Curriculum Providers and AI in Education
    • Role of NGOs and Non-Profits in Promoting AI Literacy
    • Partnership with Parent Community in Schools

Why Attend

  • Insights into the practical applications of AI in education
  • Real-world examples of AI in action in K-12 classrooms
  • An understanding of the potential benefits and challenges of using AI in education
  • Practical takeaways that can be applied in their classrooms the very next day
  • Networking opportunities with other educators and experts in the field
  • By attending this symposium, educators will be better equipped to leverage AI to improve student outcomes and enhance teaching and learning experiences.

Type of Sessions

  • Panel discussions
  • 30m – Toolbox Session (share a AI tool and how it can be used in classrooms/schools)
  • 30m – Model lesson – take educators though a lesson
  • 1 Hour Partnership Sessions – EdTech providers sharing a tool and getting feedback from educators
  • 1 Hour Presentations/Workshops 
  • Research sharing – share results of feedback on AI in Education

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Who Should Attend?

  • Academics

    Academics bringing research and thought leadership to help shape how education responds to the potential AI revolution.

  • K-12 Educators

    You are a teacher looking to get started or deepen your knowledge of AI in the classroom

  • K-12 Tech Leaders & Innovators

    Those leading the charge in their schools to deploy AI in meaningful and responsible ways.

Schedule

2 November 2024

TimeAgenda
9:00Opening Keynote & Discussion
10:00Transition & Networking
10:30

1 Hour Block
11:30

Transition
11:45

30m Block
12:15Lunch
13:4530m Block
14:15Transition
14:30

30m Block
15:00Transition
15:15

1 Hour Block
16:15Networking Social With Demo Slam

18:30Day Finished

3 November 2024

TimeAgenda
9:00

1 Hour Block
10:00
Networking
10:30
1 Hour Block
11:30Transition
11:45Wrap Up / Closing Session
12:15

Day Finished