Artikler

2024

Ml-machine.org: Infrastructuring a Research Product to Disseminate AI Literacy in Education.

CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems

1-16

ml-machine.org is a web- and micro:bit-based educational tool for building machine learning models designed to enable more widespread teaching of AI literacy in secondary education. It has been designed as a research product in collaboration with partners from the educational sector, including the Danish Broadcasting Corporation and the Micro:bit Educational Foundation. ml-machine.org currently has more than 5000 unique users and is used in schools and teacher training. It is publicly available and promoted on the broadcasting corporation’s platforms. We describe the two-year process of developing and disseminating ml-machine.org. Based on interviews with partners and educators, we report on how ml-machine.org supports inquiry into the adoption and appropriation of such educational tools. We also provide insights on working with formal education infrastructures in order to scale and integrate a research product into teacher practices. Based on these experiences, we propose infrastructure as a novel quality of research products.

Forfattere

Lise Dissing Møller

Lise Dissing Møller

Lektor

Professionshøjskolen København

Søren Würtz Christensen

Søren Würtz Christensen

VIA University College, Læreruddannelsen

sowc@via.dk

Jesper Homann

Jesper Homann

Pædagogisk konsulent

CFU, VIA University College

Cecilie Carlsen Bach

Cecilie Carlsen Bach

post.doc.

Københavns Universitet

Laura Emtoft

Laura Emtoft

Docent, Ph.d.

Professionshøjskolen Absalon

Marianne Georgsen

Marianne Georgsen

Lektor, Ph.d.

VIA University College

Daniel Spikol

Daniel Spikol

Lektor

Københavns Universitet

Jeppe Bundsgaard

Jeppe Bundsgaard

Professor

Aarhus Universitet

+45 3119 2607

jebu@edu.au.dk

Ane Vielandt Jensen

Ane Vielandt Jensen

Ph.d.-studerende

Aarhus Universitet

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