Supporting Human and Machine Co-Learning in Citizen Science: Lessons From Gravity Spy
We explore the bi-directional relationship between human and machine learning in citizen science. Theoretically, the study draws on the zone of proximal development (ZPD) concept, which allows us to describe AI augmentation of human learning, human augmentation of machine learning, and how tasks can...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ubiquity Press
2024-12-01
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| Series: | Citizen Science: Theory and Practice |
| Subjects: | |
| Online Access: | https://account.theoryandpractice.citizenscienceassociation.org/index.php/up-j-cstp/article/view/738 |
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