A Center for AI Education: Visioning, Planning and Beyond

Outline

1. Introduction & Objectives (5 minutes)
Content: Overview of the session objectives and a brief introduction
Engagement: Begin with an interactive poll using a live polling tool (e.g., Mentimeter or Slido).

2. The Vision for the AI Education Center (10 minutes)
Content: Present the detailed vision of the AI Education Center in Northwestern Pennsylvania, emphasizing its goals, target audience (urban and rural schools), and its role in supporting AI-driven learning and teaching.
Process: Encourage attendees to ask questions or share their thoughts using the chat or a shared collaborative tool like Padlet or Jamboard.

3. Equitable Access to AI Tools (10 minutes)
Content: Focus on how the AI Center will ensure equitable access to AI tools and resources, especially for underserved communities.

4. Teacher Training and Professional Development (10 minutes)
Content: Discuss the center’s professional development programs, focusing on how educators will learn to use AI in their classrooms. Highlight the alignment with ISTE Standards for Educators.
Engagement: Interactive Q&A session where participants can ask questions about training models and give feedback on the types of professional development they would find most useful.
Process: Use live Q&A platforms like Slido, where attendees can upvote questions, ensuring a participatory and inclusive session.

5. Empowering Students with AI (10 minutes)
Content: Showcase how students will leverage AI to set learning goals, personalize their education, and reflect on their learning process, aligning with ISTE Standards for Students (Empowered Learner).

6. AI and Critical Thinking (10 minutes)
Content: Highlight how the AI Center will foster critical thinking and problem-solving skills in students through AI-powered projects and activities.
Engagement: Present a case study of a real-world AI project (e.g., AI in environmental sustainability or social justice), and ask attendees to collaborate in small groups to brainstorm how AI could be used to solve problems in their own teaching context.
Process: Peer-to-peer interaction through group discussions and reporting back to the larger group via shared digital whiteboards.

7. Q & A, Closing & Key Takeaways (5 minutes)
Content: Recap the main points of the session and reinforce the vision of the AI Education Center as a transformative initiative

Supporting research

The Role of Artificial Intelligence in Teacher Professional Development: https://tinyurl.com/4f2bjzsn

Enhancing Teachers' AI Competencies through Artificial Intelligence of Things Professional Development Training: https://openurl.ebsco.com/EPDB%3Agcd%3A11%3A9951851/detailv2?sid=ebsco%3Aplink%3Ascholar&id=ebsco%3Agcd%3A175182709&crl=c

MIT Research and Study: https://catalog.mit.edu/mit/research/computer-science-artificial-intelligence-laboratory/

Professional Development for Teachers in the Age of AI
https://discovery.ucl.ac.uk/id/eprint/10186881/

Promoting the AI teaching competency of K-12 computer science teachers: A TPACK-based professional development approach:
https://link.springer.com/article/10.1007/s10639-022-11256-5

Teachers' trust in AI-powered educational technology and a professional development program to improve it:
https://bera-journals.onlinelibrary.wiley.com/doi/full/10.1111/bjet.13232