Acknowledging power structures in the design of AI-based orchestration tools

Lu Etta Mae Lawrence, Vanessa Echeverria, Nikol Rummel

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

Classrooms are historically situated within hierarchical power structures. In traditional K-12 classrooms, teachers are positioned as the experts who makes decisions about learning, and students follow their instruction. This contrasts with approaches wherein teachers position students as having agency in how they learn and with whom. One way to disrupt more traditional power structures and support mutuality in the classroom is to leverage technology to provide an avenue to communicate and make decisions about learning. In this paper, we examine teachers' views of shared control while designing an orchestration tool which it aimed at distributing power across teachers, students, and technology while students are moving between individual and collaborative activities. We discuss two case studies that highlight teachers' nuanced views of how AI can be leveraged to support dynamic transitions for learning. Our contribution highlights a need to account for the range of teachers' views about power structures when designing AI-based orchestration tools.

Original languageEnglish
Title of host publication16th International Conference on Computer-Supported Collaborative Learning, CSCL 2023 - Proceedings
EditorsCrina Damsa, Marcela Borge, Elizabeth Koh, Marcelo Worsley
Place of PublicationMontreal Canada
PublisherInternational Society of the Learning Sciences
Pages173-176
Number of pages4
ISBN (Electronic)9781737330684
Publication statusPublished - 2023
EventComputer-Supported Collaborative Learning 2023 - Montreal, Canada
Duration: 10 Jun 202315 Jun 2023
Conference number: 16th
https://2023.isls.org/submitting-to-cscl-and-icls/ (Website)
https://2023.isls.org/proceedings/ (Proceedings)

Publication series

NameComputer-Supported Collaborative Learning Conference, CSCL
PublisherInternational Society of the Learning Sciences
Volume2023-June
ISSN (Print)1573-4552

Conference

ConferenceComputer-Supported Collaborative Learning 2023
Abbreviated titleCSCL 2023
Country/TerritoryCanada
CityMontreal
Period10/06/2315/06/23
Internet address

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