Magnus Høholt Kaspersen

14 papers A* 2A 1B 1Misc 4Journal 3Unranked 3
YearRankTypeTitle / Venue / Authors
2025 Misc conf
Bit: sort : Bringing Tangible Computing to Computer Science Unplugged to Support Children's Algorithmic Explorations.
IDC
Maja Dybboe, Magnus Høholt Kaspersen, Johanne Birkkjær Bjerrum, Marianne Graves Petersen
2025 Misc conf
From Automation to Integration: Designing Opportunities for Students and Teachers to Act Skillfully Around AI in Existing K-12 Subjects.
IDC
Karl-Emil Kjær Bilstrup, Luke Connelly, Line Have Musaeus, Magnus Høholt Kaspersen, Marianne Graves Petersen
2025 A conf
The ML-Machine Toolkit: Empowering Teachers and Education Professionals to Explore Embodied Approaches to Teaching Machine Learning.
Conference on Designing Interactive Systems
Karl-Emil Kjær Bilstrup, Magnus Høholt Kaspersen, Niels Olof Bouvin, Marianne Graves Petersen
2024 A* conf
From Primary Education to Premium Workforce: Drawing on K-12 Approaches for Developing AI Literacy.
CHI
Magnus Høholt Kaspersen, Line Have Musaeus, Karl-Emil Kjær Bilstrup, Marianne Graves Petersen, Ole Sejer Iversen, Christian Dindler, Peter Dalsgaard
2024 A* conf
ml-machine.org: Infrastructuring a Research Product to Disseminate AI Literacy in Education.
CHI
Karl-Emil Kjær Bilstrup, Magnus Høholt Kaspersen, Niels Olof Bouvin, Marianne Graves Petersen
2022 J jnl
Computational empowerment in practice: Scaffolding teenagers' learning about emerging technologies and their ethical and societal impact.
Int. J. Child Comput. Interact.
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
2022 — conf
From Demo to Design in Teaching Machine Learning.
FAccT
Karl-Emil Kjær Bilstrup, Magnus Høholt Kaspersen, Ira Assent, Simon Aagaard Enni, Marianne Graves Petersen
2022 J jnl
High school students exploring machine learning and its societal implications: Opportunities and challenges.
Int. J. Child Comput. Interact.
Magnus Høholt Kaspersen, Karl-Emil Kjær Bilstrup, Maarten Van Mechelen, Arthur Hjorth, Niels Olof Bouvin, Marianne Graves Petersen
2022 — conf
Opportunities and Challenges of Teaching Machine Learning as a Design Material with the micro: bit.
NordiCHI (Adjunct)
Karl-Emil Kjær Bilstrup, Magnus Høholt Kaspersen, Marie-Louise Stisen Kjerstein Sørensen, Marianne Graves Petersen
2022 Misc conf
Supporting Critical Data Literacy in K-9 Education: Three Principles for Enriching Pupils' Relationship to Data.
IDC
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
2022 Misc conf
The Best of Both Worlds: Designing a Tiered Hybrid Interface for Teaching Machine Learning in K-9 Education.
NordiCHI
Karl-Emil Kjær Bilstrup, Magnus Høholt Kaspersen, Matilde Fjeldsø Larsen, Niels Olof Bouvin, Marianne Graves Petersen
2021 B conf
The Machine Learning Machine: A Tangible User Interface for Teaching Machine Learning.
TEI
Magnus Høholt Kaspersen, Karl-Emil Kjær Bilstrup, Marianne Graves Petersen
2021 J jnl
Towards a model of progression in computational empowerment in education.
Int. J. Child Comput. Interact.
Magnus Høholt Kaspersen, Daniel Graungaard, Niels Olof Bouvin, Marianne Graves Petersen, Eva Eriksson
2021 — conf
VotestratesML: A High School Learning Tool for Exploring Machine Learning and its Societal Implications.
FabLearn/MakeEd
Magnus Høholt Kaspersen, Karl-Emil Kjær Bilstrup, Maarten Van Mechelen, Arthur Hjorth, Niels Olof Bouvin, Marianne Graves Petersen