Supporting the Development of AI Literacy Competencies Within Creative Computing Environments
Francisco Enrique Vicente Castro, Kayla DesPortes · 2024
Creative computing education can support engagement and learning across artistic and computational disciplines, while providing opportunities for meaningful expression. Prior work has shown that constructing with electronic textiles [6, 12] (alongside restorying practices [13]) and physical computing kits [7] empower learners to highlight personal and community values and stories while challenging and reimagining dominant narratives. The rapid expansion of artificial intelligence (AI) and machine learning (ML) in recent years has created an influx of attention on how to teach AI across a variety of learners. Work on AI literacy often aims to equip learners with interdisciplinary skills to use and produce with AI technologies while also being critical about their designs. These have led to the development of frameworks to describe and outline what constitutes AI literacy [1, 8, 14] and the exploration of creative computing as an avenue for AI/ML education. While research has shown some benefits of creative computing for AI education, such as by facilitating sensemaking of AI through embodied exploration and co-creation and the critical reflection on the limits, tensions, and ethics around AI [2, 15, 16], there is limited work on identifying the specific AI competencies that creative computing tools and environments support.