Reshaping Higher Education Designs and Futures: Postdigital Co-design with Generative Artificial Intelligence
Access status:
Open Access
Type
ArticleAuthor/s
Zeivots, SandrisCasey, Alison
Winchester, Tiffany
Webster, Jack
Wang, Xin
Tan, Linus
Smeenk, Wina
Schulte, Frank P.
Scholkmann, Antonia
Paulovich, Belinda
Muñoz, Diego
Mignone, Joanne
Mantai, Lilia
Hrastinski, Stefan
Godwinn, Rebecca
Engwall, Olov
Dindas, Henrik
van Dijk, Marieke
Chubb, Laura Ann
Rapanta, Chrysi
Jaldemark, Jimmy
Hayes, Sarah
Abstract
This article examines how collaborative design practices in higher education are reshaped through postdigital entanglement with generative artificial intelligence (GenAI). We collectively explore how co-design, an inclusive, iterative, and relational approach to educational design ...
See moreThis article examines how collaborative design practices in higher education are reshaped through postdigital entanglement with generative artificial intelligence (GenAI). We collectively explore how co-design, an inclusive, iterative, and relational approach to educational design and transformation, expands in meaning, practice, and ontology when GenAI is approached as a collaborator. The article brings together 19 authors and three open reviewers to engage with postdigital inquiry, structured in three parts: (1) a review of literature on co-design, GenAI, and postdigital theory; (2) 11 situated contributions from educators, researchers, and designers worldwide, each offering practice-based accounts of co-design with GenAI; and (3) an explorative discussion of implications for higher education designs and futures. Across these sections, we show how GenAI unsettles assumptions of collaboration, knowing, and agency, foregrounding co-design as a site of ongoing material, ethical, and epistemic negotiation. We argue that postdigital co-design with GenAI reframes educational design as a collective practice of imagining, contesting, and shaping futures that extend beyond human knowing.
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See moreThis article examines how collaborative design practices in higher education are reshaped through postdigital entanglement with generative artificial intelligence (GenAI). We collectively explore how co-design, an inclusive, iterative, and relational approach to educational design and transformation, expands in meaning, practice, and ontology when GenAI is approached as a collaborator. The article brings together 19 authors and three open reviewers to engage with postdigital inquiry, structured in three parts: (1) a review of literature on co-design, GenAI, and postdigital theory; (2) 11 situated contributions from educators, researchers, and designers worldwide, each offering practice-based accounts of co-design with GenAI; and (3) an explorative discussion of implications for higher education designs and futures. Across these sections, we show how GenAI unsettles assumptions of collaboration, knowing, and agency, foregrounding co-design as a site of ongoing material, ethical, and epistemic negotiation. We argue that postdigital co-design with GenAI reframes educational design as a collective practice of imagining, contesting, and shaping futures that extend beyond human knowing.
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Date
2025Source title
Postdigital Science and EducationIssue
7Publisher
SpringerLicence
Creative Commons Attribution 4.0Faculty/School
The University of Sydney Business SchoolShare