Teaching Data Concepts and Practices in Secondary School Education on Artificial Intelligence: Approaches, Mechanisms, and Emerging Local Theories

Data-related concepts and practices have been proposed to be a fundamental component of artificial intelligence (AI) school education. However, proposing concepts and practices is not enough. To enable teachers to introduce data concepts and practices in schools, it is necessary to understand the mechanisms that effectively support the learning of these under real school conditions. To this end, we designed and conducted a three-iteration designbased research study in collaboration with computer science and mathematics teachers, school students, and domain experts. In this paper, we present the results of the research process: the developed teaching approaches and the identified mechanisms that support learning of data concepts and practices following a conjecturemapping approach. Based on the results, we explicate theoretically and empirically sound local instructional theories for teaching data concepts and practices in secondary school education on AI.

DOI: https://doi.org/10.1145/3769994.3770021

PDF: https://computingeducation.de/pub/2025_Olari-Romeike_KoliCalling2025.pdf