Agenda

Expanding Capacity and Diversity in 

Lifelong AI Education

August 9

6:00 Reception (with food and drinks), Introductions, Opening

August 10

8:30  Breakfast, Why are we doing this?

9:00  Speakers: Eric Eaton (Penn State): ACM/IEEE/AAAI AI Curriculum and Pat Yongpradit (code.org): Needs of K-12 learners

10:00 - 12:00 Session 1: AI Curricula: What are the components of AI education?

Discussion topics: What are the topics/knowledge/skills areas in AI education at different levels (K-12, community colleges, undergraduate and graduate CS major, undergraduate non-CS major, adult workforce, public)? 

1. What are the major topics (foundational and use-inspired)?

2. What ethical, responsible, and trustworthy AI knowledge areas should be included in AI education?

3. How are the topics distributed differently to prepare AI professionals compared to AI literacy for the public?

4. How is AI taught differently at the different levels?

5. What are the goals for AI education at the different levels?

12:00 - 1:00 Working Lunch

1:00 Invited Speaker: Jodi Reeves (National University) on education for the adult working population

2:00 - 4:00 Session 2: Quality and Inclusion in AI education

Discussion Topics: What guidelines can we provide to ensure quality and inclusion in AI education at different levels (K-12, community colleges, undergraduate and graduate CS major, undergraduate non-CS major, adult workforce, public)?

1. What are the guidelines for quality AI education in terms of rigor, theory, knowledge, skills?

2. What information is needed about an AI program that forms a basis for accreditation?

3. What are the metrics for quality AI education?

4. What are the metrics for diversity in AI education?

5. What are the guidelines for inclusion in AI education?

6. How will the use of AI in education and the profession change the balance of learning theory and skill acquisition?

4:00 - 5:00 Review and plan for next day

6:00 dinner at Dandelion Market

August 11

8:30 am Breakfast

9:00 Invited Speaker: Bo Yuan (Rochester Institute of Technology): Stories about SFS success in expanding capacity in cybersecurity

10:00  - 12:00 Session 3: Expanding Capacity in AI education

Discussion Topics: What are strategies for expanding the capacity of AI in education in the different levels of AI education at different levels (K-12, community colleges, undergraduate and graduate CS major, undergraduate non-CS major, adult workforce, public)?

1. What are the challenges for increasing capacity?

2. What are strategies or models that can be used to increase capacity in AI?

3. What are the metrics for capacity (people, courses, diversity)?

4. What is needed to increase capacity quickly?

5. Who/Where/What should we target to increase capacity?

6. What can be learned and adapted from the SFS program for expanding capacity in AI?

12:00 -1:00 Working lunch and conclusion

1:00 - 5:00 Report Writing for those who stay