Education / machine teaching co-designAI education and child-centered designParticipation documented
Exploring Machine Teaching with Children
College Park, United States
Children trained image classifiers and tested each other’s models as part of a co-design process with adult designers.
human-centered designinclusive designchild-centered learningdata collectionmodel traininginterface designevaluation
- Region
- North America
- Lead organization
- University of Maryland
- Organization type
- university
- Technology group
- interactive machine teaching / image classification
- Activity status
- published_case
- Start year
- 2021
- Last updated
- Mar 25, 2026
- Participation mode
- children as co-designers of teachable ML interfaces
- Participants
- children; adult co-designers; researchers
- Methods
- co-design; collaborative testing; child-centered workshops
- AI lifecycle stages
- data collection; model training; interface design; evaluation
- Evidence summary
- Children trained image classifiers and tested each other’s models as part of a co-design process with adult designers.
- Atlas assessment
- Core · Medium confidence · evidence grade B
- Uncertainty
- Primary evidence is in academic sources rather than a persistent project site.
- Participation group
- Co Design
- Technology description
- interactive machine teaching / image classification
- Funding
- Not documented
- Region of activity
- local
- Verification status
- Paper Verified
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