Short answer

Embrace generative AI not just as a tool, but as a potential collaborator in the design process, actively exploring its unique capabilities to push creative boundaries and envision novel solutions.

Field
Innovation & Design
Source
Postdigital Science and Education (2025)
Method
Qualitative, practice-based research with literature review and explorative discussion.
Sample
19 authors and 3 open reviewers
Evidence
Strong effect

Integrating generative artificial intelligence (GenAI) into co-design processes in higher education can fundamentally alter traditional notions of collaboration, knowledge creation, and agency, opening up new possibilities for shaping educational futures. This innovation & design research insight is drawn from a 2025 study published in Postdigital Science and Education. Using Qualitative, practice-based research with literature review and explorative discussion. with 19 authors and 3 open reviewers, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Embrace generative AI not just as a tool, but as a potential collaborator in the design process, actively exploring its unique capabilities to push creative boundaries and envision novel solutions.

Study
Innovation & DesignNew This WeekStrong effect

Generative AI as a Co-Designer: Expanding Educational Futures Beyond Human Knowing

Integrating generative artificial intelligence (GenAI) into co-design processes in higher education can fundamentally alter traditional notions of collaboration, knowledge creation, and agency, opening up new possibilities for shaping educational futures.

Postdigital Science and Education · 2025

01

Key Findings

  • 01GenAI unsettles traditional assumptions about collaboration, knowledge, and agency in design.
  • 02Co-design with GenAI becomes a site for ongoing material, ethical, and epistemic negotiation.
  • 03Postdigital co-design with GenAI reframes educational design as a collective practice of imagining and shaping futures beyond human cognition.
02

Application

Design takeaway

Embrace generative AI not just as a tool, but as a potential collaborator in the design process, actively exploring its unique capabilities to push creative boundaries and envision novel solutions.

How to apply

Experiment with using GenAI tools in brainstorming, ideation, and iterative refinement stages of a design project, treating the AI's output as a genuine contribution to be responded to and built upon.

Project actions

  • 01When exploring AI's role, clearly define its function: is it a tool, a collaborator, or a source of inspiration?
  • 02Document the iterative process of working with AI, showing how its contributions influenced your design decisions.
03

Method & Evidence

AimHow does the integration of generative artificial intelligence as a co-designer reshape the practice, meaning, and ontology of collaborative educational design in higher education?
MethodQualitative, practice-based research with literature review and explorative discussion.
ProcedureThe research involved a literature review on co-design, GenAI, and postdigital theory, followed by 11 practice-based contributions from global educators, researchers, and designers detailing their experiences co-designing with GenAI. These contributions were then discussed to explore implications for higher education.
Sample19 authors and 3 open reviewers
ContextHigher education design and futures

Variables

IVIntegration of Generative Artificial Intelligence (GenAI) as a co-designer.
DVMeaning, practice, and ontology of co-design; educational design outcomes; perceived agency and collaboration.
CVContext of higher education; specific co-design methodologies employed; nature of the design problem.
04

Strengths & Limitations

Strengths

  • +Multi-author, global perspective offering diverse practice-based accounts.
  • +Explores a novel and timely intersection of AI and design practice.

Limitations

The effectiveness of AI co-design can depend heavily on the specific AI model used and the user's skill in prompting and interpreting its output.

Reliability & validity

The study's validity is enhanced by the diverse range of situated contributions, providing multiple perspectives on the phenomenon. Reliability might be a concern due to the subjective nature of co-design experiences and the evolving capabilities of GenAI.

Think critically

To what extent does the 'co-design' with GenAI truly represent collaboration, and where does the line blur between AI generation and human design agency?

05

Design Principles

"Design is a distributed and emergent process, capable of being shaped by both human and artificial intelligence."

This research challenges designers and educators to reconsider the role of technology in collaborative design. By treating GenAI as a partner, we can move beyond its use as a mere tool and explore its potential to co-create novel educational experiences and systems, pushing the boundaries of what is currently imaginable.

06

What This Means for Your Design

Imagine you're designing something with a friend, but your friend is a super-smart computer program that can generate ideas and possibilities you'd never think of. This study shows how using AI like this can help create new and exciting designs, especially for schools and universities.

How to use in your project

  • 1.Reference this study when discussing the potential of AI in your design process, particularly if you use AI tools for ideation or prototyping.
07

Add to My Project

08

Quick Cite

Paragraph starter

This research highlights the transformative potential of integrating generative artificial intelligence (GenAI) as a co-designer within collaborative design practices. By treating GenAI as an active participant, rather than a mere tool, design projects can transcend conventional limitations, leading to the co-creation of novel solutions and the exploration of futures that extend beyond human cognitive capacities. This approach necessitates a re-evaluation of agency, collaboration, and knowledge construction within the design process.

09

Source

Postdigital Science and Education

Reshaping Higher Education Designs and Futures: Postdigital Co-design with Generative Artificial Intelligence

journal · 2025

View source

Questions About This Research

What does the research say about generative ai as a co-designer: expanding educational futures beyond human knowing?
Embrace generative AI not just as a tool, but as a potential collaborator in the design process, actively exploring its unique capabilities to push creative boundaries and envision novel solutions. Evidence: Postdigital Science and Education (2025).
Why does "Generative AI as a Co-Designer: Expanding Educational Futures Beyond Human Knowing" matter for design?
This research challenges designers and educators to reconsider the role of technology in collaborative design. By treating GenAI as a partner, we can move beyond its use as a mere tool and explore its potential to co-create novel educational experiences and systems, pushing the boundaries of what is currently imaginable.
How can designers apply this research?
Embrace generative AI not just as a tool, but as a potential collaborator in the design process, actively exploring its unique capabilities to push creative boundaries and envision novel solutions.
What were the main findings?
GenAI unsettles traditional assumptions about collaboration, knowledge, and agency in design.. Co-design with GenAI becomes a site for ongoing material, ethical, and epistemic negotiation.. Postdigital co-design with GenAI reframes educational design as a collective practice of imagining and shaping futures beyond human cognition.
What research method was used?
Qualitative, practice-based research with literature review and explorative discussion. with 19 authors and 3 open reviewers.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2025 journal from Postdigital Science and Education.
What should I do differently in my next project?
Experiment with using GenAI tools in brainstorming, ideation, and iterative refinement stages of a design project, treating the AI's output as a genuine contribution to be responded to and built upon.
What are the limitations?
The study focuses on higher education and may not directly translate to all design contexts. The rapid evolution of GenAI means findings may need continuous re-evaluation.