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ORCIDMagnus H. Kaspersen
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- affiliation: Aarhus University, Denmark
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Journal Articles
- 2022
[j3]Marie-Monique Schaper
, Rachel Charlotte Smith, Mariana Aki Tamashiro, Maarten Van Mechelen, Mille Skovhus Lunding, Karl-Emil Kjær Bilstrup, Magnus Høholt Kaspersen, Kasper Løvborg Jensen, Marianne Graves Petersen, Ole Sejer Iversen:
Computational empowerment in practice: Scaffolding teenagers' learning about emerging technologies and their ethical and societal impact. Int. J. Child Comput. Interact. 34: 100537 (2022)- [j2]Magnus Høholt Kaspersen, Karl-Emil Kjær Bilstrup, Maarten Van Mechelen, Arthur Hjorth, Niels Olof Bouvin, Marianne Graves Petersen:
High school students exploring machine learning and its societal implications: Opportunities and challenges. Int. J. Child Comput. Interact. 34: 100539 (2022) - 2021
- [j1]Magnus Høholt Kaspersen, Daniel Graungaard, Niels Olof Bouvin, Marianne Graves Petersen, Eva Eriksson:
Towards a model of progression in computational empowerment in education. Int. J. Child Comput. Interact. 29: 100302 (2021)
Conference and Workshop Papers
- 2024
- [c10]Magnus Høholt Kaspersen, Line Have Musaeus, Karl-Emil Kjær Bilstrup, Marianne Graves Petersen, Ole Sejer Iversen, Christian Dindler, Peter Dalsgaard:
From Primary Education to Premium Workforce: Drawing on K-12 Approaches for Developing AI Literacy. CHI 2024: 268:1-268:16 - [c9]Karl-Emil Kjær Bilstrup, Magnus Høholt Kaspersen, Niels Olof Bouvin, Marianne Graves Petersen:
ml-machine.org: Infrastructuring a Research Product to Disseminate AI Literacy in Education. CHI 2024: 272:1-272:16 - 2022
- [c8]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, Marianne Graves Petersen:
Supporting Critical Data Literacy in K-9 Education: Three Principles for Enriching Pupils' Relationship to Data. IDC 2022: 225-236 - [c7]Karl-Emil Kjær Bilstrup, Magnus Høholt Kaspersen, Ira Assent, Simon Enni, Marianne Graves Petersen:
From Demo to Design in Teaching Machine Learning. FAccT 2022: 2168-2178 - [c6]Karl-Emil Kjær Bilstrup, Magnus Høholt Kaspersen, Marie-Louise Stisen Kjerstein Sørensen, Marianne Graves Petersen:
Opportunities and Challenges of Teaching Machine Learning as a Design Material with the micro: bit. NordiCHI (Adjunct) 2022: 45:1-45:6 - [c5]Karl-Emil Kjær Bilstrup, Magnus Høholt Kaspersen, Matilde Fjeldsø Larsen, Niels Olof Bouvin, Marianne Graves Petersen:
The Best of Both Worlds: Designing a Tiered Hybrid Interface for Teaching Machine Learning in K-9 Education. NordiCHI 2022: 51:1-51:12 - 2021
- [c4]Magnus Høholt Kaspersen, Karl-Emil Kjær Bilstrup, Maarten Van Mechelen, Arthur Hjorth, Niels Olof Bouvin, Marianne Graves Petersen:
VotestratesML: A High School Learning Tool for Exploring Machine Learning and its Societal Implications. FabLearn/MakeEd 2021: 3:1-3:10 - [c3]Magnus Høholt Kaspersen, Karl-Emil Kjær Bilstrup, Marianne Graves Petersen:
The Machine Learning Machine: A Tangible User Interface for Teaching Machine Learning. TEI 2021: 19:1-19:12 - 2020
- [c2]Karl-Emil Kjær Bilstrup, Magnus H. Kaspersen, Marianne Graves Petersen:
Staging Reflections on Ethical Dilemmas in Machine Learning: A Card-Based Design Workshop for High School Students. Conference on Designing Interactive Systems 2020: 1211-1222 - 2019
- [c1]Magnus H. Kaspersen, Sebastian HInes, Mark Moore, Majken Kirkegaard Rasmussen, Marcelo A. Dias:
Lifting Kirigami Actuators Up Where They Belong: Possibilities for SCI. Conference on Designing Interactive Systems 2019: 935-947
Coauthor Index
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