Abstract
In this article, first results are presented from a three-year research project that aims to investigate how secondary school students develop an understanding of artificial intelligence in science contexts. Specifically, we have conducted a pilot test of parts of a technology comprehension course in the spring-summer of 2023, where students in groups should design their own machine learning model and app. Our approach was based on a broad perspective of technology comprehension as an interconnection between technical competences, design competences and technology-critical competences. Despite this, our initial experiences point to challenges in progressing from a practical level to a more reflective level. The article discusses this issue and what it means for future research.
Original language | Danish |
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Volume | 24 |
Issue number | 4 |
Pages (from-to) | 54-69 |
Number of pages | 16 |
ISSN | 2245-8948 |
Publication status | Published - 2024 |