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

(In press) Karl-Emil Kjær Bilstrup, Magnus Høholt Kaspersen, Niels Olof Bouvin, and Marianne Graves Petersen. 2024. ml-machine.org: Infrastructuring a Research Product to Disseminate AI Literacy in Education. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI ’24), May 11–16, 2024, Honolulu, HI, USA. ACM, New York, NY, USA, 16 pages.

https://doi.org/10.1145/3613904.3642539

From Primary Education to Premium Workforce: Drawing on K-12 Approaches for Developing AI Literacy

(In press) Magnus Høholt Kaspersen, Line Have Musaeus, Karl-Emil Kjær Bilstrup, Marianne Graves Petersen, Ole Sejer Iversen, Christian Dindler, and Peter Dalsgaard. 2024. From Primary Education to Premium Workforce: Drawing on K-12 Approaches for Developing AI Literacy. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI ’24), May 11– 16, 2024, Honolulu, HI, USA. ACM, New York, NY, USA, 16 pages.

https://doi.org/10.1145/3613904.3642607

Emerging Technologies in K–12 Education: A Future HCI Research Agenda

Maarten Van Mechelen, Rachel Charlotte Smith, Marie-Monique Schaper, Mariana Tamashiro, Karl-Emil Bilstrup, Mille Lunding, Marianne Graves Petersen, and Ole Sejer Iversen. 2023. Emerging Technologies in K–12 Education: A Future HCI Research Agenda. ACM Trans. Comput.-Hum. Interact. 30, 3, Article 47 (June 2023), 40 pages.

https://doi.org/10.1145/3569897

Opportunities and Challenges of Teaching Machine Learning as a Design Material with the micro:bit

Karl-Emil Kjær Bilstrup, Magnus Høholt Kaspersen, Marie-Louise Stisen Kjerstein Sørensen, and Marianne Graves Petersen. 2022. Opportunities and Challenges of Teaching Machine Learning as a Design Material with the micro:bit. In Adjunct Proceedings of the 2022 Nordic Human-Computer Interaction Conference (NordiCHI '22). Association for Computing Machinery, New York, NY, USA, Article 45, 1–6.

https://doi.org/10.1145/3547522.3547689

Supporting Critical Data Literacy in K-9 Education: Three Principles for Enriching Pupils’ Relationship to Data

Karl-Emil Kjær Bilstrup, Magnus Høholt Kaspersen, Mille Skovhus Lunding, Marie-Monique Schaper, Maarten Van Mechelen, Mariana Aki Tamashiro, Rachel Charlotte Smith, Ole Sejer Iversen, and Marianne Graves Petersen. 2022. Supporting Critical Data Literacy in K-9 Education: Three Principles for Enriching Pupils’ Relationship to Data. In Proceedings of the 21st Annual ACM Interaction Design and Children Conference (IDC '22). Association for Computing Machinery, New York, NY, USA, 225–236.

https://doi.org/10.1145/3501712.3530783

From Demo to Design in Teaching Machine Learning

Karl-Emi Kjær Bilstrup, Magnus Høholt Kaspersen, Ira Assent, Simon Enni, and Marianne Graves Petersen. 2022. From Demo to Design in Teaching Machine Learning. In 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT '22). Association for Computing Machinery, New York, NY, USA, 2168–2178.

https://doi.org/10.1145/3531146.3534634

VotestratesML: A High School Learning Tool for Exploring Machine Learning and its Societal Implications

Magnus Hoeholt Kaspersen, Karl-Emil Kjaer Bilstrup, Maarten Van Mechelen, Arthur Hjorth, Niels Olof Bouvin, and Marianne Graves Petersen. 2021. VotestratesML: A High School Learning Tool for Exploring Machine Learning and its Societal Implications. In FabLearn Europe / MakeEd 2021 - An International Conference on Computing, Design and Making in Education (FabLearn Europe / MakeEd 2021). Association for Computing Machinery, New York, NY, USA, Article 3, 1–10.

https://doi.org/10.1145/3466725.3466728

The Machine Learning Machine: A Tangible User Interface for Teaching Machine Learning

Magnus Høholt Kaspersen, Karl-Emil Kjær Bilstrup, and Marianne Graves Petersen. 2021. The Machine Learning Machine: A Tangible User Interface for Teaching Machine Learning. In Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction (TEI '21). Association for Computing Machinery, New York, NY, USA, Article 19, 1–12.

https://doi.org/10.1145/3430524.3440638

Staging Reflections on Ethical Dilemmas in Machine Learning: A Card-Based Design Workshop for High School Students

Karl-Emil Kjær Bilstrup, Magnus H. Kaspersen, and Marianne Graves Petersen. 2020. Staging Reflections on Ethical Dilemmas in Machine Learning: A Card-Based Design Workshop for High School Students. Proceedings of the 2020 ACM Designing Interactive Systems Conference. Association for Computing Machinery, New York, NY, USA, 1211–1222.

https://doi.org/10.1145/3357236.3395558