Aspiring for Equity: Perspectives from Design of AI Education

Benjamin Walsh, Bridget Dalton, Stacey Forsyth, Ellie Haberl, Jackie Smilack, Tom Yeh, Helen Zhang, Irene Lee, Grace C. Lin, Yoon Jeon Kim, Glenda S. Stump, Andy Stoiber, Amal Altuwaiyan, Hal Abelson, Eric Klopfer, Cynthia Breazeal, Eryka Wilson, Roozbeh Aliabadi, Jingxian Tian, James CarterDuri Long, Brian Magerko, Tesha Sengupta-Irving

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

Abstract

The explosion of Artificial Intelligence (AI) applications along with findings of algorithmic bias toward marginalized populations requires that we redouble our efforts to make AI education equitable to all youth so they can become informed consumers and responsible creators of AI, and can thoughtfully engage with others around equity issues in AI. This symposium focuses on the discussion of five AI literacy programs/projects from across the United States, each attempting to incorporate equity in diverse ways. Together, the five projects explore AI education using multiple pedagogical approaches and learning contexts with unique affordances and constraints.

Original languageEnglish (US)
Title of host publicationInternational Collaboration toward Educational Innovation for All
Subtitle of host publicationOverarching Research, Development, and Practices - 16th International Conference of the Learning Sciences, ICLS 2022
EditorsClark Chinn, Edna Tan, Carol Chan, Yael Kali
PublisherInternational Society of the Learning Sciences (ISLS)
Pages1771-1778
Number of pages8
ISBN (Electronic)9781737330653
StatePublished - 2022
Event16th International Conference of the Learning Sciences, ICLS 2022 - Virtual, Online, Japan
Duration: Jun 6 2022Jun 10 2022

Publication series

NameProceedings of International Conference of the Learning Sciences, ICLS
ISSN (Print)1814-9316

Conference

Conference16th International Conference of the Learning Sciences, ICLS 2022
Country/TerritoryJapan
CityVirtual, Online
Period6/6/226/10/22

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Education

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