Making Sense of Machine Learning: Integrating Youth's Conceptual, Creative, and Critical Understandings of AI

Luis Morales-Navarro, Yasmin B. Kafai, Francisco Castro, William Payne, Kayla DesPortes, Daniella DiPaola, Randi Williams, Safinah Ali, Cynthia Breazeal, Clifford Lee, Elisabeth Soep, Duri Long, Brian Magerko, Jaemarie Solyst, Amy Ogan, Cansu Tatar, Shiyan Jiang, Jie Chao, Carolyn P. Rosé, Sepehr Vakil

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Understanding 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.

Original languageEnglish (US)
Title of host publicationISLS Annual Meeting 2023
Subtitle of host publicationBuilding Knowledge and Sustaining our Community - 17th International Conference of the Learning Sciences, ICLS 2023, Proceedings
EditorsPaulo Blikstein, Jan Van Aalst, Rita Kizito, Karen Brennan
PublisherInternational Society of the Learning Sciences (ISLS)
Pages1640-1649
Number of pages10
ISBN (Electronic)9781737330677
StatePublished - 2023
Event17th International Conference of the Learning Sciences, ICLS 2023 - Montreal, Canada
Duration: Jun 10 2023Jun 15 2023

Publication series

NameComputer-Supported Collaborative Learning Conference, CSCL
ISSN (Print)1573-4552

Conference

Conference17th International Conference of the Learning Sciences, ICLS 2023
Country/TerritoryCanada
CityMontreal
Period6/10/236/15/23

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Education

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