Participate and share: Poster 
The purpose of this session is to empower educators with the knowledge and resources to teach students about AI literacy. With the rapid growth and increased availability of generative AI technologies in recent years, it’s essential that we equip students to understand, use, and critically evaluate AI tools. Surveys indicate that teachers are seeking professional development opportunities to learn about AI. This session will address that need!
Objectives:
1. Define AI literacy and articulate its importance for preparing students to thrive in the 21st-century workforce and society.
2. Identify key approaches and guidelines for effectively integrating AI literacy into existing curricula across various subjects and grade levels.
3. Discover a curated collection of resources to teach students how to understand, use, and critically evaluate AI.
4. Learn about AI activities and tools that can be adapted to engage students in meaningful learning experiences, fostering a deeper understanding of AI concepts and applications.
5. Gain strategies for evaluating AI-generated content and promoting safe, responsible, and ethical use of AI tools in educational settings.
Slideshow with information on AI literacy basics, guidelines, and approaches for teaching
Poster with QR codes to scan, leading to resources for teaching students how to understand, use, and critically evaluate AI
Interactive tech tool will be used to seek feedback and insights from educators about use of AI in schools
As this is a poster session, educators are free to choose how much time they will spend based on their interests and needs.
Anders, B. A. (2023). The AI Literacy Imperative: Empowering Instructors & Students. Sovorel Publishing.
Buolamwini, J. (2023). Unmasking AI: My Mission to Protect What Is Human in a World of Machines. Random House Publishing Group.
Cao, L., & Dede, C. (2023). Navigating A World of Generative AI: Suggestions for Educators. The Next Level Lab at Harvard Graduate School of Education. President and Fellows of Harvard College: Cambridge, MA.
Catala, A., Taboada, M., Cebreiro, B., & Barro, S. (2023). AI literacy in K-12: A systematic literature review. International Journal of STEM Education, 10(1), 1-17. https://doi.org/10.1186/s40594-023-00418-7
Code.org, CoSN, Digital Promise, European EdTech Alliance, Larimore, J., and PACE (2023). AI Guidance for Schools Toolkit. Retrieved from teachai.org/toolkit. [January 8, 2024].
Laupichler, M. C., Aster, A., Haverkamp, N., & Raupach, T. (2023). Development of the “Scale for the assessment of non-experts’ AI literacy” – An exploratory factor analysis. Computers in Human Behavior Reports, 12, 100338. https://doi.org/10.1016/j.chbr.2023.100338
Long, D., & Magerko, B. (2020). What is AI literacy? Competencies and design considerations. In Proceedings of the 2020 chi conference on human factors in computing systems. (pp. 1–16). https://doi.org/10.1145/3313831.3376727
Miller, M. (2023). AI for Educators: Learning Strategies, Teacher Efficiencies, and a Vision for an Artificial Intelligence Future. Dave Burgess Consulting, Incorporated.
Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041. https://doi.org/10.1016/j.caeai.2021.100041
Ng, D.T.K., Leung, J.K.L., Su, M.J., Yim, I.H.Y., Qiao, M.S., Chu, S.K.W. (2022). AI Literacy from Educators’ Perspectives. In: AI Literacy in K-16 Classrooms. Springer, Cham. https://doi.org/10.1007/978-3-031-18880-0_10
Steinbauer, G., Kandlhofer, M., Chklovski, T., Heintz, F., & Koenig, S. (2021). A Differentiated Discussion About AI Education K-12. Kunstliche intelligenz, 35(2), 131–137. https://doi.org/10.1007/s13218-021-00724-8
U.S. Department of Education, Office of Educational Technology, Artificial Intelligence and Future of Teaching and Learning: Insights and Recommendations, Washington, DC, 2023. This report is available at https://tech.ed.gov
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