Abstract
The rapid development of Artificial Intelligence (AI) has increased the importance of AI education for users. While AI has been being researched continuously in higher education, teaching ‘AI’ to middle and high school students is still a new idea. Although governments of various countries have attempted to promote AI education for students from primary to high schools, teachers have encountered challenges in designing their teaching materials. In this paper, we proposed an application that helps teachers to create easy-to-understand lesson plans and introduce AI knowledge to middle and high school students. By recommending teachers AI-related products or services, which are common to the young generation to introduce AI concepts, the application is expected to mitigate teachers’ difficulties in designing their AI lesson plans.
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References
AI4K12. Accessed 28 April 2022. https://ai4k12.org/
AL4ALL. Accessed 28 April 2022. https://ai-4-all.org/
Ali, S., Payne, B.H., Williams, R., Park, H.W., Breazeal, C.: Constructionism, ethics, and creativity: developing primary and middle school artificial intelligence education. International workshop on education in artificial intelligence K-12 (EDUAI'19) (2019)
Alonso, J.M.: Teaching explainable artificial intelligence to high school students. International Journal of Computational Intelligence Syst. 13(1), 974 (2020). https://doi.org/10.2991/ijcis.d.200715.003
Burgsteiner, H., Kandlhofer, M., Steinbauer, G.: Irobot: Teaching the basics of artificial intelligence in high schools. Proceedings of the AAAI Conference on Artificial Intelligence 30(1) (2016)
Chai, C.S., Wang, X., Xu, C.: An extended theory of planned behavior for the modelling of chinese secondary school students’ intention to learn artificial intelligence. Mathematics 8(11), 2089 (2020). https://doi.org/10.3390/math8112089
Chiu, T., Chai, C.-S.: Sustainable curriculum planning for artificial intelligence education: a self-determination theory perspective. Sustainability 12(14), 5568 (2020). https://doi.org/10.3390/su12145568
Eguchi, A., Okada, H., Muto, Y.: Contextualizing AI education for K-12 students to enhance their Learning of AI literacy through culturally responsive approaches. KI - Künstliche Intelligenz 35(2), 153–161 (2021). https://doi.org/10.1007/s13218-021-00737-3
McGovern, A., Tidwell, Z., Rushing, D.: Teaching introductory artificial intelligence through java-based games. Proceedings of the Second Symposium on Educational Advances in Artificial Intelligence (2011)
Pedró, F., et al.: Artificial intelligence in education: challenges and opportunities for sustainable development. UNESCO: Paris, France (2019)
Peterson, D., Goode, K., Gehlhaus, D.: AI Education in China and the United States: A Comparative Assessment (2021). https://doi.org/10.51593/20210005
Steinbauer, G., Kandlhofer, M., Chklovski, T., Heintz, F., Koenig, S.: Education in artificial intelligence K-12. KI - Künstliche Intelligenz 35(2), 127–129 (2021). https://doi.org/10.1007/s13218-021-00734-6
TOP HAT. Accessed 28 April 2022. https://tophat.com/
Torrey, L.: Teaching problem-solving in algorithms and AI. 3rd Symposium on Educational Advances in Artificial Intelligence (2012)
UNESCO: K-12 AI curricula: A mapping of government-endorsed AI curricula. Accessed 28 April 2022. https://unesdoc.unesco.org/ark:/48223/pf0000380602
Van Brummelen, J., Lin, P.: Engaging Teachers to Co-Design Integrated AI Curriculum for K-12 Classrooms. arXiv preprint arXiv:2009.11100 (2020)
Zawacki-Richter, O., Marín, V.I., Bond, M., Gouverneur, F.: Systematic review of research on artificial intelligence applications in higher education – where are the educators? Int. J. Educ. Technol. High. Educ. 16(1), 1–27 (2019). https://doi.org/10.1186/s41239-019-0171-0
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Cu, B.H., Fujimoto, T. (2023). AI Education for Middle/ High School Level: A Proposal of a System that Supports Teachers to Design Their AI Lessons. In: Selvaraj, H., Fujimoto, T. (eds) Applied Systemic Studies. ICSEng 2022. Lecture Notes in Networks and Systems, vol 611. Springer, Cham. https://doi.org/10.1007/978-3-031-27470-1_2
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DOI: https://doi.org/10.1007/978-3-031-27470-1_2
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