Teaching AI to the Next Generation: A Humanistic Approach
DOI:
https://doi.org/10.1344/der.2024.45.115-123Keywords:
Curriculum Design, Artificial Intelligence Education, HumanisticAbstract
This article proposes a comprehensive AI curriculum tailored for young learners aged 11 to 14, emphasizing a humanistic approach. We review other AI curricula proposals for children and young people and underline that they focus primarily on AI's technological benefits and on learning coding and logic. Our curriculum explores human cognition that is often overlooked in existing AI curriculum. Our proposal combines learning through construction, reflective discussions and project-based learning in order to approach AI from variety of angles. Implemented by CreaTIC Academy during 2023/24 school year as an out-of-school activity in a secondary (middle) school in Barcelona, Spain, this curriculum integrates technological, philosophical, cognitive, and cultural dimensions. It draws from diverse fields, including Philosophy of Mind, Cognitive Psychology and Philosophy of Children, and includes practical coding with tools like Scratch and AppInventor, as well as Machine Learning for Kids. Designed to be adaptable across various socio-economic contexts, our approach aims to promote a broader liberal education for children and help teachers implement AI activities in their classrooms.
References
AI4K12 (2024) Five Big Ideas in Artificial Intelligence, K-12 AI Guidelines and Resources by the Workgroup of the Assoc. for the Advancement of Artificial Intelligence (AAAI) and The Computer Science Teachers Association (CSTA) https://ai4k12.org/
Ali, S., Payne, B. H., Williams, R., Park, H. W., & Breazeal, C. (2019). Constructionism, ethics, and creativity: Developing primary and middle school artifcial intelligence education. In International workshop on education in artifcial intelligence k-12 (eduai’19) (pp. 1–4)
Artidiello Moreno, M. (2018) Filosofía para Niños y Niñas (FPNN): una oportunidad diferente para pensar en la escuela, Ciencia y Sociedad, vol. 43, núm. 3, pp. 25-38, Instituto Tecnológico de Santo Domingo.
Battal, A., Afacan Adanır, G., & Gülbahar, Y. (2021). Computer science unplugged: A systematic literature review. Journal of Educational Technology Systems, 50(1), 24–47.
Cassinadri, G. (2024) ChatGPT and the Technology-Education Tension: Applying Contextual Virtue Epistemology to a Cognitive Artifact, Phi. And Tech 37, 14.
Cukurova, M., Kralj, L., Hertz, B. & Saltidou, E. (2024). Professional Development for Teachers in the Age of AI. European Schoolnet. Brussels, Belgium.
Dempere, J., Modugu,K., Hesham, A., Kumar Ramasamy, L. (2023) The impact of ChatGPT on higher education. Front. Educ. 8:1206936., doi: 10.3389/feduc.2023.1206936
Dreyfus, H. L. (1992). What computers still can't do: A critique of artificial reason. MIT press.
European Schoolnet (2021) Artificial Intelligence Role in K12 Education: Agile Collection of Information, Brussels, Belgium.
Fasoli, M. (2017) Substitutive, Complementary an Constitutive Artifacts: Developing an Interaction-Centered Approach. In Review of Philosophy and Psychology 9, 671-687.
Heinze, C. A., Haase, J., & Higgins, H. (2010). An action research report from a multi-yearapproach to teaching artificial intelligence at the k-6 level. In 1st AAAI symposium on educational advances in artificial intelligence.
Lin, P., Van Brummelen, J., Lukin, G., Williams, R., & Breazeal, C. (2020). Zhorai: Designing a conversational agent for children to explore machine learning concepts. In Proceedings of the AAAI conference on artifcial intelligence (Vol. 34(9), pp. 13381–13388).
Luckin, R., Cukurova, M. (2019) ‘Designing educational technologies in the age of AI: A learning sciences-driven approach’, British J. of Ed. Technology, 50(6), pp. 2824- 2838.
Melsión, G. I., Torre, I., Vidal, E., & Leite, I. (2021). Using explainability to help children understand gender bias in AI. In Proceedings of the interaction design and children, Athens, Greece (pp. 87–99).
Mogavi, R.H, Deng, C, Kim, J.J, Zhou, P, Kwon, Y.D, Metwally, A.H.S, Tlili, A., Bassan-elli, S., Bucchiarone, A., Gujar, S., Nacke, L.E., Hui, P. (2024) ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters’ utilization and perceptions, Comp. in Human Behavior: Artificial Humans, Vol2, Issue 1, ISSN 2949-8821.
Papert, S. (1980). Mindstorms. Children, Computers and Powerful Ideas. New York: Basic books
Sanusi, I.T., Oyelere, S.S., Vartiainen, H. et al. (2023) A systematic review of teaching and learning machine learning in K-12 education. Educ Inf Technol 28, 5967–5997.
Su, J., Kit Ng, D., and Chu, S. (2023) Artificial Intelligence (AI) Literacy in Early Childhood Education: The Challenges and Opportunities, Computers and Education: Artificial Intelligence 4, 100124
Su J., & Yang W. (2022) Artificial intelligence in early childhood education: A scoping review. Elsevier Computers and Education: Artificial Intelligence Volume 3, 2022, 100049.
Tayle, G., Sonal, S., Pratishtha, S., Gentinet, Y. (2023) Exploring the Role of Artificial Intelligence in Class Scheduling and Management: A Comprehensive Survey and Review, 2023 International Conference on Computer Science and Emerging Technologies (CSET).
Touretzky, D. S., Gardner-McCune, C., Martin, F., & Seehorn, D. (2019, June). K-12 guidelines for artificial intelligence: what students should know. In Proc. of the ISTE Conference (Vol. 53).
von Garrel, J. & Mayer, J. (2023) Artificial Intelligence in studies—use of ChatGPT and AI-based tools among students in Germany. Humanit Soc Sci Commun 10, 799.
Williams, R., Won Park, H., Breaseal, C. (2019) A is for Artificial Intelligence: The Impact of Artificial Intelligence Activities on Young Children's Perceptions of Robots. CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 447, 1–11, https://doi.org/10.1145/3290605.3300677.
Yang, W. (2022) Artificial Intelligence education for young children: Why, what, and how in curriculum design and implementation. Comp. and Edu.: Artificial Intelligence Vol3.
Yim, I.H.Y., Su, J. (2024) Artificial intelligence (AI) learning tools in K-12 education: A scoping review. J. Comput. Educ,. https://doi.org/10.1007/s40692-023-00304-9.
Yim, I.H.Y., Su, J. (2024) Artificial intelligence (AI) learning tools in K-12 education: A scoping review. Springer J. Comput. Educ, https://doi.org/10.1007/s40692-023-00304-9.
Zhang, P., & Tur, G. (2023) A systematic review of ChatGPT use in K-12 education. Euro-pean Journal of Education, 00, 1–22, https://doi.org/10.1111/ejed.12599.
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