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Leveraging Generative Artificial Intelligence to Broaden Participation in Computer Science

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

Abstract

Generative Artificial Intelligence (AI) was incorporated into a competitive programming event that targeted undergraduate students, including those with little programming experience. The competition incorporated a range of challenge design approaches that promoted meaningful interaction with generative AI system, even while keeping the challenge difficulty level to an appropriate level. An analysis of survey responses and competition data showed that this format lowered barriers to participation, successfully engaged students throughout the competition, and increased the likelihood that they would participate in a similar event. In an extension of this work, a professional development workshop for high school teachers is being developed, along with a contest for high school students. Participant surveys and logs of interaction with the contest and generative AI systems will be analyzed to measure the effect of generative AI on student self-efficacy and suggest ways to integrate generative AI instruction into computer science curriculum.

Original languageEnglish (US)
Title of host publicationAAAI Spring Symposium - Technical Report
EditorsRon Petrick, Christopher Geib
PublisherAssociation for the Advancement of Artificial Intelligence
Pages486-492
Number of pages7
Edition1
ISBN (Electronic)9781577358886
DOIs
StatePublished - May 21 2024
Event2024 AAAI Spring Symposium Series, SSS 2024 - Stanford, United States
Duration: Mar 25 2024Mar 27 2024

Publication series

NameAAAI Spring Symposium - Technical Report
Number1
Volume3

Conference

Conference2024 AAAI Spring Symposium Series, SSS 2024
Country/TerritoryUnited States
CityStanford
Period3/25/243/27/24

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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