AI Book Club | Proceedings of the 53rd ACM Technical Symposium on Computer Science Education - Volume 1 (2024)

1. Barab, S. A., Barnett, M. G., & Squire, K. (2002). Building a community of teachers: Navigating the essential tensions in practice. The Journal of The Learning Sciences, 11(4), 489--542.Google ScholarCross Ref
2. Costanza-Chock, S. (2020). Design Justice: Community-Led Practices to Build the Worlds We Need. MIT Press.Google ScholarCross Ref
3. Developing AI Literacy (DAILy) curriculum. https://aieducation.mit.eduGoogle Scholar
4. DiPaola, D., Ali, S., Hong, J., Zhang, H., Breazeal, C., & Lee, I. (2020). Youth as Investigators of Bias in Artificial Intelligence. American Educational Research Association 2021.Google Scholar
5. Ethical and Societal Implications of Data and Artificial Intelligence: A roadmap for research. (2019). Nuffield Foundation. https://www.nuffieldfoundation.org/sites/default/files/files/Ethical-and-Societal-Implications-of-Data-and-AI-report-Nuffield-Foundat.pdfGoogle Scholar
6. Festinger, L. (1957). A theory of cognitive dissonance. Stanford University Press.Google ScholarCross Ref
7. Gardner-McCune, C., Touretzky, D., Martin, F., and Seehorn, D. (2019). AI for K-12: Making Room for AI in K-12 CS Curricula. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE '19). ACM, New York, NY, USA, 1244--1244. DOI: https://doi.org/10.1145/3287324.3293729Google ScholarDigital Library
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9. Kalyuga, S. & Liu, T. C. (2015). Managing Cognitive Load in Technology-Based Learning Environments. Educational Technology & Society, 18 (4), 1--8.Google Scholar
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12. Long, D., and Magerko, B. (2020). What is AI Literacy? Competencies and Design Considerations. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, 1--16. DOI:https://doi.org/10.1145/3313831.3376727Google ScholarDigital Library
13. Marques, L. S., Gresse Von Wangenheim, C., & Hauck, J. C. R. (2020). Teaching Machine Learning in School: A Systematic Mapping of the State of the Art. Informatics in Education, 283--321. https://doi.org/10.15388/infedu.2020.14Google Scholar
14. Mitchell, M. (2019). Artificial Intelligence: A Guide for Thinking Humans. Picador.Google Scholar
15. Select Committee on AI. (2018). AI in the UK: ready, willing and able. House of Lords Paper 100, 183. https://publications.parliament.uk/pa/ld201719/ldselect/ldai/100/100.pdfGoogle Scholar
16. Sweller, J. (1988). "Cognitive Load During Problem Solving: Effects on Learning". Cognitive Science. 12 (2): 257--285. doi:10.1207/s15516709cog1202_4.Google ScholarCross Ref
17. Sweller, J., van Merrienboer, J. J. G., Paas, F. G. W. C. (1998). "Cognitive Architecture and Instructional Design". Educational Psychology Review. 10 (3): 251--296. doi:10.1023/A:1022193728205. S2CID 127506.Google ScholarCross Ref
18. Tedre, M., Toivonen, T., Kaihila, J., Vartiainen, H., Valtonen, T., Jormanainen, I., & Pears, A. (2021). Teaching Machine Learning in K-12 Computing Education: Potential and Pitfalls. ArXiv:2106.11034 [Cs]. http://arxiv.org/abs/2106.11034Google Scholar
19. Wenger, E. (1998). Communities of practice: Learning, meaning, and identity. Cambridge University Press.Google ScholarCross Ref
20. Zhang, H., Lee, I., Ali, S., DiPaola, D., Cheng, Y., & Breazeal, C. (2021). Integrating Ethics and Career Futures with Technical Learning to Promote AI Literacy for Middle School Students: An Exploratory Study. In publication, International Journal of AI Education.Google Scholar

Index Terms

1. AI Book Club: An Innovative Professional Development Model for AI Education

   1. Computing methodologies

      1. Machine learning

         1. Learning paradigms

         2. Learning settings

         3. Machine learning approaches

   2. Social and professional topics

      1. Professional topics

         1. Computing education

            1. Adult education

            2. Model curricula

• What is AI Literacy? Competencies and Design Considerations

  CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

  Artificial intelligence (AI) is becoming increasingly integrated in user-facing technology, but public understanding of these technologies is often limited. There is a need for additional HCI research investigating a) what competencies users need in ...

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• AI Literacy: Finding Common Threads between Education, Design, Policy, and Explainability

  CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

  Fostering public AI literacy has been a growing area of interest at CHI for several years, and a substantial community is forming around issues such as teaching children how to build and program AI systems, designing learning experiences to broaden ...

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• Improving Teachers' Self-Confidence in Learning Technology Skills and Math Education through Professional Development

  Using technology tools in math instruction can help stimulate problem-solving skills and understanding of math concepts. However, teachers need to be confident in their abilities to use technology tools. This study investigated whether or not a four-...

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