In 2022, just a few months before the release of ChatGPT, a colleague and I held a co-creative foresight workshop that envisioned future learning spaces, one of which was an AI-powered learning garden. This technologically enhanced nature-integrated space merged personalized learning journeys with commons-based principles. In this learning garden, students would plant seeds that would grow alongside themselves, symbolizing their educational journey while fostering a sense of responsibility for the environment. Equipped with AI structuring learning processes and access to global coaches that offer deep personalized insight, the garden students would navigate individualized learning experiences and commons-based collaborative projects. This speculative setting would encourage students to explore their interests, engage deeply with nature, and cultivate both individual and collective responsibility, resulting in an inclusive, inspiring, and transformative educational experience.
The speculative AI-powered learning garden is one of the outcomes of the workshop “Reflecting and Reimagining Hybrid Learning Environments,” which brought together students, educators, and administrators to play the Classroom of the Future game. This playful method was conceived to co-imagine and co-design speculative future learning environments, and a detailed account of the project, the game, and the workshop outcomes can be found online here1.
In my work, I employ future studies and foresight methods together with others to explore evolving human-technology relations in terms of agentiality, materiality, embodiment, and knowledge construction. Emerging technologies, such as artificial intelligence (AI), as well as virtual and augmented reality, represent a shift in experiential media and are novel mediators of human experience and practice. Rather than understanding these technologies as mere objects or tools separate from, or extending human perception, they actively co-shape human-world relations and knowledge construction. Foresight methods allow us to scrutinize human-technology relations by looking beyond current events toward potential futures. However, these practices can also contribute to bringing forth these futures. The Presencing Institute, for example, offers tools and methods that bring forth aspirational futures while supporting systemic transformation. Additionally, some tools by the Presencing Institute employ embodied practices “to dissolve limiting concepts, to communicate directly, to access intuition, and to make visible both current realities, and the deeper–often invisible–leverage points for creating profound change.”
Intrigued by this description and embodied collaborative practices in general, I became interested in the 4-D Mapping method documented in the book “The Social Presencing Theater.” My driving question in exploring this method was how embodied practices contribute to co-creative foresight for emerging technologies in higher education.
In this article, I discuss the workshop I conceived for the School of Commons Assembly 2025 and my experience employing the 4-D Mapping method. The aim of the workshop and 4-D Mapping exercise is to develop an aspirational vision for how Germany’s higher education system may transform its integration of generative AI in the learning environment.
What is 4-D Mapping by the Presencing Institute?
The Presencing Institute describes 4-D Mapping as “making visible the current reality in a social system, such as a school system, and revealing how embodied sensing and knowing can lead to fresh outcomes.” Participants in 4-D Mapping embody interest groups or stakeholders in the system they investigate, and reveal how change emerges through movement. Each interest group influences the other directly or indirectly and in varying degrees in this complex system. Therefore, the 4-D Mapping method enables us to uncover the layers of interdependence in a system that are not always immediately apparent because of the complexities associated with governance, power, allocations of resources, and other forces and factors.
How was the workshop employing the 4-D Mapping method structured?
The 60-minute workshop, which dealt with the current challenges of integrating generative AI technologies and didactic practices into higher education in Germany, was structured in three parts:
Grounding meditation and introduction to case study 4-D Mapping exercise
Reflection
After a grounding meditation, I told the story of how Germany’s higher education institutions have been working to integrate generative AI technologies, such as ChatGPT or Stable Diffusion, into their technical repertoire, learning design, and institutional processes. The presented case, which you can listen to below, speaks of various actors that play a role in co-shaping the success and challenges of this process. The actors or interest groups are:
- AI-working-groups at universities, who are responsible for rolling out the technical and didactic workflows for employing generative AI in higher education)
- Educators
- Students
- Industry
- Government policy, which protects users through privacy laws
- Foundations & NGOs, who are supporting digital innovation in higher education
- Digital divide, which is an abstract representation of people who have low or no access to digital resources and are, therefore, underprivileged
- Planet and sustainable practices
In addition to the roles above, one participant could also embody the aspirational outcome of this system: the acquisition of future skills. Future skills are a concept from educational psychology referring to competencies that enable individuals to solve complex problems for an uncertain and rapidly changing future. Therefore, the goal of the workshop was to create an aspirational vision of how Germany’s higher education institutions could transform their integration of generative AI into Germany’s learning environments.
The following is a recording of the case presented at the workshop: