A participatory, qualitative analysis of the use of MagicSchool AI for course design

This participatory study recounts conversational practices occurring between three teachers, a head of school, and a researcher during a month-long curriculum design workshop mediated by the MagicSchool AI technology to create social studies, language arts, science, and mathematics lessons for a virtual special education program. A social paradigm of AI-mediated educational practices is presented, wherein teachers interact with AI tools by embodying co-agency and a spirit of inquiry. Collective practices are interpreted using Gordon Pask’s conversation theory framework, showcasing how to design systems of human-AI feedback loops devoted towards curriculum design. Meeting transcriptions, AI-prompt data, AI-mediated lesson plans, teacher feedback, and final products are shared using narrative inquiry to illustrate how collaborative co-agency culminated in lesson plans that co-observers felt confident in deploying.

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Publication Details

Journal
Journal of Sociocybernetics
Published
2024-11-20
DOI
https://doi.org/10.26754/ojs_jos/jos.2024110947
Citations
5
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
1.74
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A participatory, qualitative analysis of the use of MagicSchool AI for course design

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A participatory, qualitative analysis of the use of MagicSchool AI for course design

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article en
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Abstract

This participatory study recounts conversational practices occurring between three teachers, a head of school, and a researcher during a month-long curriculum design workshop mediated by the MagicSchool AI technology to create social studies, language arts, science, and mathematics lessons for a virtual special education program. A social paradigm of AI-mediated educational practices is presented, wherein teachers interact with AI tools by embodying co-agency and a spirit of inquiry. Collective practices are interpreted using Gordon Pask’s conversation theory framework, showcasing how to design systems of human-AI feedback loops devoted towards curriculum design. Meeting transcriptions, AI-prompt data, AI-mediated lesson plans, teacher feedback, and final products are shared using narrative inquiry to illustrate how collaborative co-agency culminated in lesson plans that co-observers felt confident in deploying.

Journal of SociocyberneticsVol. 19(1)
Wesleyan University (US), Virginia Wesleyan University (US), Chesapeake Bay Program (US)
Quality Education
Openalex Percentile: Top 13%
Topic Modeling
1.74
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