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Title:

Constructionist Approaches to Learning Artificial Intelligence/Machine Learning: Past, Present, and Future

Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
Morales-Navarro, L., Kafai, Y. Kahn, K., Romeike, R., Michaeli, T., DiPaola, D., Ali, S., Williams, R., Breazeal, C., Castro, F., Desportes, K., Stager, G., Kumar, V., Bodon, H., Worsley, M., Lee, V., Sarin, P., Xie, B., Wolf, J., Sieh, I., Dennison, D., Garcia, R. & Solomon, C.
Pages contribution:
245-254
Book / Congress title:
Proceedings of Constructionism 2023
Publisher address:
New York, NY, USA
Year:
2023
Reviewed:
ja
Fulltext / DOI:
doi:10.57862/jfps-mb68
WWW:
https://press.etc.cmu.edu/proceedings/proceedings-constructionism-fablearn-2023
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