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dc.contributor.authorMorales-Navarro, Luis
dc.contributor.authorKafai, Yasmin B.
dc.contributor.authorCastro, Francisco
dc.contributor.authorPayne, William
dc.contributor.authorDesPortes, Kayla
dc.contributor.authorDiPaola, Daniella
dc.contributor.authorWilliams, Randi
dc.contributor.authorAli, Safinah
dc.contributor.authorBreazeal, Cynthia
dc.contributor.authorLee, Clifford
dc.contributor.authorSoep, Elisabeth
dc.contributor.authorLong, Duri
dc.contributor.authorMagerko, Brian
dc.contributor.authorSolyst, Jaemarie
dc.contributor.authorOgan, Amy
dc.contributor.authorTatar, Cansu
dc.contributor.authorJiang, Shiyan
dc.contributor.authorChao, Jie
dc.contributor.authorRosé, Carolyn P.
dc.contributor.authorVakil, Sepehr
dc.date.accessioned2023-10-10T16:04:49Z-
dc.date.available2023-10-10T11:57:00Z
dc.date.available2023-10-10T16:04:49Z-
dc.date.issued2023
dc.identifier.citationMorales-Navarro, L., Kafai, Y. B., Castro, F., Payne, W., DesPortes, K., DiPaola, D., Williams, R., Ali, S., Breazeal, C., Lee, C., Soep, E., Long, D., Magerko, B., Solyst, J., Ogan, A., Tatar, C., Jiang, S., Chao, J., Rosé, C. P., & Vakil, S. (2023). Making sense of machine learning: Integrating youth’s conceptual, creative, and critical understandings of AI. In Blikstein, P., Van Aalst, J., Kizito, R., & Brennan, K. (Eds.), Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023 (pp. 1640-1649). International Society of the Learning Sciences.en
dc.identifier.urihttps://doi.org/10.22318/icls2023.930603
dc.identifier.urihttps://repository.isls.org//handle/1/9985-
dc.descriptionSymposiumen
dc.description.abstractUnderstanding how youth make sense of machine learning and how learning about machine learning can be supported in and out of school is more relevant than ever before as young people interact with machine learning powered applications everyday—while connecting with friends, listening to music, playing games, or attending school. In this symposium, we present different perspectives on understanding how learners make sense of machine learning in their everyday lives, how sensemaking of machine learning can be supported in and out of school through the construction of applications, and how youth critically evaluate machine learning powered systems. We discuss how sensemaking of machine learning applications involves the development and integration of conceptual, creative, and critical understandings that are increasingly important to prepare youth to participate in the world.en
dc.publisherInternational Society of the Learning Sciences
dc.relation.ispartofurn:ISBN:978-1-7373306-7-7
dc.relation.ispartofProceedings of the 17th International Conference of the Learning Sciences - ICLS 2023, pp. 1640-1649
dc.subjectLearning Sciencesen
dc.titleMaking Sense of Machine Learning: Integrating Youth’s Conceptual, Creative, and Critical Understandings of AIen
dc.typeconferencePaper
dc.identifier.doi10.22318/icls2023.930603
Appears in Collections:ISLS Annual Meeting 2023

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