Abstract
Artificial Intelligence (AI) has increasingly gained attention in recent years, and with it, the need to involve youth in responsible uses the technology. I propose a method that aims to equip secondary school students with the necessary knowledge and skills to identify, describe, interact, and create with AI responsibly. Particularly, my research aims to engage students in culturally relevant learning integrating music as a cultural signifier. Using a Constructionist approach, I propose a method in which students will learn about AI through making personally meaningful musical artefacts. By situating the study in two different sociocultural contexts, this study aims to characterise the extent to which different local cultures influence learning outcomes (cognitive, affective, and behavioural) when learning about AI. This study aims to provide a systematic method for collecting and analysing data from students’ interactions with an AI-enabled music creation platform, thus enabling a holistic understanding of students’ learning processes.
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Hernández López, N.P., Hu, X. (2024). Culturally Relevant Artificial Intelligence Education with Music for Secondary School Students. In: Olney, A.M., Chounta, IA., Liu, Z., Santos, O.C., Bittencourt, I.I. (eds) Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky. AIED 2024. Communications in Computer and Information Science, vol 2151. Springer, Cham. https://doi.org/10.1007/978-3-031-64312-5_46
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