Resources
This list of resources was collected in 2023 to provide easy access to recent efforts in expanding the scope, capacity, and diversity of lifelong AI education.
AI Education Initiatives
A Guidance for Schools Toolkit from TeachAI
Global Initiative for Teach AI
A Guidance for Schools Toolkit from TeachAI
https://www.teachai.org/toolkit
AI4K12 Initiative - The initiative is developing (1) national guidelines for AI education for K-12, (2) an online, curated resource Directory to facilitate AI instruction, and (3) a community of practitioners, researchers, resource and tool developers focused on the AI for K-12 audience.
aiEDU is a “non-profit that creates equitable learning experiences that build foundational AI literacy.” They list Google, OpenAI, Microsoft among partners.
https://www.aiedu.org/
AI4ALL is a “US-based nonprofit dedicated to increasing diversity and inclusion in AI education, research, development, and policy”
Stanford Human-Centered AI (HAI) Summit on AI+Education: AI in the Service of Teaching and Learning
https://hai.stanford.edu/events/aieducation-summit-ai-service-teaching-and-learning
Reports
AI Index Report 2023: https://aiindex.stanford.edu/wp-content/uploads/2023/04/HAI_AI-Index-Report_2023.pdf
Another from Stanford … “During AY 2021-22, HAI enrolled more than 7,000 people across its education programs, including 50 faculty from Stanford and other institutions who were trained in matters related to human-centered AI.”
https://hai-annual-report.stanford.edu/education/
ACM AI Knowledge Areas
https://csed.acm.org/wp-content/uploads/2022/07/AI_Version_Alpha.pdf
K-12 Education in the age of AI by Ning Wang and James Lester, International Journal of Artificial Intelligence in Education (2023) 33:228–232 Published online: 20 June 2023 https://doi.org/10.1007/s40593-023-00358-x
CS2020 ACM Computing Curriculum
https://www.acm.org/binaries/content/assets/education/curricula-recommendations/cc2020.pdf
CS2023 ACM Version Beta for CS Education
https://csed.acm.org/cs2023-beta/
2023 ACM CS Ed Knowledge areas
https://csed.acm.org/knowledge-areas/
US AI Workforce
https://cset.georgetown.edu/publication/u-s-ai-workforce/
Leading the Charge: A Look at the Top-Producing AI Programs in U.S. Colleges and Universities
Computational linguistics / NLP is a branch of AI. NACLO is the CL olympiad for high school students, perhaps something similar can be organized for AI to increase interest, diversity, …
https://www.nacloweb.org/
https://www.nacloweb.org/about.php
Criteria for excellence in SFS program
https://sfs.opm.gov/Academia/Resources
“The emergence of GPT-4 and related LLMs will likely stimulate discussions about the role of multi-year investment in education, training, and development of expertise and the need to adapt, reskill, or reorient career paths in light of the new capabilities of AI.”
Sparks of Artificial General Intelligence: Early experiments with GPT-4
ACM Policy on Generative AI
https://www.acm.org/binaries/content/assets/public-policy/ustpc-approved-generative-ai-principles
Papers on AI Literacy
Maria Kasinidou. 2023. Promoting AI Literacy for the Public. In Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 2 (SIGCSE 2023). Association for Computing Machinery, New York, NY, USA, 1237. https://doi.org/10.1145/3545947.3573292
Jiahong Su, Davy Tsz Kit Ng, Samuel Kai Wah Chu, (2023). Artificial Intelligence (AI) Literacy in Early Childhood Education: The Challenges and Opportunities, Computers and Education: Artificial Intelligence, Volume 4, 2023, 100124, ISSN 2666-920X, https://doi.org/10.1016/j.caeai.2023.100124.
Ng, D. T. K., Leung, J. K. L., Chu, K. W. S., & Qiao, M. S. (2021b). AI literacy: Definition, teaching, evaluation and ethical issues. Proceedings of the Association for Information Science and Technology, 58(1), 504-509.
Burgsteiner, H., Kandlhofer, M., & Steinbauer, G. (2016, March). Irobot: Teaching the basics of artificial intelligence in high schools. Proceedings of the AAAI Conference on Artificial Intelligence, 30(1), 4126–4127.
Kandlhofer, M., Steinbauer, G., Hirschmugl-Gaisch, S., & Huber, P. (2016, October). Artificial intelligence and computer science in education: From kindergarten to university. In 2016 IEEE frontiers in education conference (FIE) (pp. 1–9). IEEE.
Ng, D. T. K., Leung, J. K. L., Chu, K. W. S., & Qiao, M. S. (2021a). AI literacy: Definition, teaching, evaluation and ethical issues. Proceedings of the Association for Information Science and Technology, 58(1), 504–509. Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., &
Long, D., & Magerko, B. (2020, April). What is AI literacy? Competencies and design considerations. In Proceedings of the 2020 CHI conference on human factors in computing systems (pp. 1–16). Macdonald, J., & Twining, P. (2002).
AI Curriculum and Learning Materials
ACM AI Knowledge Areas
https://csed.acm.org/wp-content/uploads/2022/07/AI_Version_Alpha.pdf
AI4ALL is a “US-based nonprofit dedicated to increasing diversity and inclusion in AI education, research, development, and policy”
AI4ALL Open Learning Curriculum
https://ai-4-all.org/resources/
MIT AI for high school teachers
https://education.mit.edu/project/everyday-ai-for-youth-edai/
Amazon Machine Learning University
https://aws.amazon.com/machine-learning/mlu/
AWS Machine Learning University “offers a free program helping community colleges, Minority-Serving Institutions (MSIs), and Historically Black Colleges and Universities (HBCUs) teach data management (DM), artificial intelligence (AI), and machine learning (ML) concepts.
https://aws.amazon.com/machine-learning/educators/
Relevant AI Institutes
EngageAI AI Institute
https://sites.google.com/ncsu.edu/ai-engage/who-we-are?authuser=0
The National Science Foundation AI Institute for Engaged Learning (ENGAGE AI Institute) is guided by a vision that supports and extends the capabilities of teachers and students with artificial intelligence (AI). Our mission is to produce transformative advances in STEM teaching and learning with AI-driven narrative-centered learning environments.
AI-ALOE AI Institute
AI-ALOE will lead the country and the world in the development of novel AI theories and techniques for enhancing the quality of adult online education. It will foster a research community of computer scientists to conduct responsible use-inspired fundamental research into AI that is grounded in theories of human cognition and learning, supported by evidence from large-scale data, evaluated on a large variety of testbeds, and derived from the scientific process of learning engineering. Together with partners in the higher education and educational technology sector, AI-ALOE will advance online learning to make education more available, affordable, achievable, and ultimately, more equitable.