Generative AI in Education: 2 workshop sessions

11 November 2025

Educational project

Generative AI in Education: 2 workshop sessions

This project consists of two workshop sessions. Workshop A is a speculative fabulation workshop where participants explore possible and seemingly impossible futures for educational practices in the age of Generative AI (GenAI). Workshop B provides educators with hands-on collaboration alongside expert facilitators to collaboratively redesign assignments or didactic situations in their specific courses and programmes affected by GenAI. The overall goal of this project is to collectively envision and shape the future of education, seeking to encourage a hopeful, radically imaginative, yet grounded, constructive, and affirmative response from educators. This revitalized visioning in Workshop A is pushed toward activation in Workshop B, where participants are guided to build specific pilot tests to run in individual courses.

Background information

This project addresses the urgent need to challenge dominant narratives surrounding GenAI in higher education – narratives predominantly characterized by instrumental “what works” orientations, techno-solutionism, techno-determinism, colonizing logics, and discourses overloaded with promises of disruption and threat that collectively construct a pervasive narrative of inevitability. Rather than succumbing to reductive, top-down forces that shut down the ability to think otherwise and create largescale narratives of inevitable futures that cannot be adjusted (Markham, 2020), we aim to cultivate space for more reflective engagement alongside hopeful orientations toward future possibilities. It is vital to build more radical imaginaries of higher education and amplify agency among teachers –they are among those most impacted by this GenAI crisis, yet often feel they have very little control over how the GenAI-higher education intersection unfolds. The tenor and content of these workshops is designed to enable educators and members of our educational institutions to temporarily resist the pervasive grip of tech companies that pressure universities and their stakeholders to “roll over in the face of tall tales about technological inevitability.” These workshops aspire to create space for collective efforts to “reimagine the other worlds that are still possible” (McQuillan 2025) in a critical and proactive manner, while we still can. Our motto is “Dare to do things differently!”, our project is an invitation to “think otherwise”, and we firmly believe that “education is an ongoing experiment.”

 

Project description

In Workshop A, titled “AI in Education 2030: A Speculative Futures Workshop,” participants engage in a creative speculative fabulation workshop. They explore three future scenarios: “A University with No More Writing,” “All Assessments Given in Class,” and “Full Embrace of GenAI.” The focus of the workshop is on imaginative world-building rather than critiquing these futures. We draw inspiration from Siân Bayne’s (2023) work on speculative utopias for digital education and Terry Eagleton’s (2015) ideas suggesting that hopeful speculation can lead us toward actively constructing futures. These works shift the mindset from a more bureaucratic or task oriented goal of maintaining or regaining educational standards, and instead working toward what education might become, and using utopia “as a way of trying to understand how, as educators, we might work with the widely felt desire for a better way of living” (Bayne, 2023, p. 507). Within this, Workshop A aims to provide participants with the space to creatively envision how these various future scenarios could work, discussing what excites them about each scenario and exploring the pedagogical implications of these futures.

Workshop B, titled “Revising Assignments and Assessments in the GenAI Era,” offers participants the opportunity to develop pilot tests through a design-thinking process that encourages innovative thinking from the ground up. Participants are encouraged to bring a specific assignment or assessment that may be impacted by GenAI and collaborate in small teams to brainstorm and create alternatives to test in the next iteration of their courses. The goal is to focus on strong pedagogical ideals for the future, reimagining education in a way that prioritizes its core purposes, rather than being constrained by narrow discussions of plagiarism and inevitability.

Results

The first session of each workshop was held in March 2025 (Workshop A) and June 2025 (Workshop B) with educators from the Media and Culture and Culture Studies (MCW) department at Utrecht University. Approximately 40 participants attended Workshop A, while around 25 attended Workshop B. During these two sessions, several intriguing questions emerged.

In Workshop A, participants reflected our goals and the workshop content through the questions they raised:

  • Do our traditional assessments truly reflect the values we advocate for in the humanities?
  • Could we shift our focus to emphasize the learning process rather than just the final products?
  • What possibilities for transformative learning, shared meaning-making, and co-construction of knowledge emerge when we center dialogue and interaction in assessment practices?
  • With generative AI shaking up higher education, how can we turn this disruption into an opportunity to inspire fundamental changes in our teaching and learning environments?

Workshop A received positive feedback, with educators stating that it inspired them to think in new ways. However, some participants struggled to overcome their resistance to certain future possibilities. We tried to navigate this by allowing space for that resistance to be articulated, while having a moderator from our team at each table who was encouraged to guide the group back on track when discussions began to drift away from the workshop’s aims.

In Workshop B, several participants left with updated drafts of their assignments that they intend to try in their upcoming course iteration. In most cases, the core structure of the assignment, often a final essay, remained intact, but was adjusted to include elements aimed at making the assignment more personally resonant for students. For example, some decided to add prompts encouraging students to reflect on their own positionality in relation to their written work, with the intention of fostering deeper, more reflexive engagement and reducing the likelihood of outsourcing. While we haven’t yet followed up with participants, the workshop was framed as an ongoing opportunity for those interested in further revising their assignments, with the option of receiving support from members of our team, and we hope to continue this engagement in future iterations.

The collective questions and challenges discussed at the end of Workshop B included:

  • Why do we as teachers have a strong attachment to writing and still desire to maintain writing in some format even if it is not “AI-resilient”?
  • How can we better foster a love for learning, the joy of research, and the writing process itself, so that GenAI is not the immediate “go to” resource for students?
  • Which assignments are difficult to grade, which are a pleasure, and how might delineating this might offer a productive starting point for engaging in assessment re-design?
  • How can we use this crisis as an opportunity to address ongoing or longstanding problems with how we think about the purpose of assignments, or evidence of learning?

One recurring refrain from teachers was that writing itself is a process of thinking, a mode of not only developing critical and analytical skills, but also discovering and shaping one’s own voice. For teachers in humanities, where writing has traditionally been a central practice, it became clear that the topic needs more discussion than time allowed for in the workshop. That is, several participants expressed strong sadness, frustration, and resistance to giving up writing, yet they also acknowledged that with students’ current use of GenAI, students are not gaining either writing skills or a love of writing. This fact caused meaningful discomfort among the workshop participants, not least because the situation seems untenable and impossible to either ignore or solve. This prompted much discussion that did not move people forward toward pilot tests, but did provide more space for deepening their discussion about what this means and how it might be resolved. The ending point for this workshop was that educators need to find ways of communicating the value of writing to students, both within our teaching and learning environments and through the ways we design our assessments.

Overall, participants appreciated the chance to collaborate  in small groups of five. This format allowed for meaningful exchange where most people could be heard, with participants supporting one another in rethinking specific assignments or problems, which not only sparked new insights but also surfaced questions they hadn’t previously considered. Some of the insights shared with us included gaining clarity on why they feel resistance or attachment to doing things a certain way, including what they are fighting for in their teaching, and why certain practices matter deeply to them. Others spoke of the value of learning from one another’s expertise, not just in emerging technologies, but in the craft and lived experience of pedagogy. And perhaps most significantly, some described the experience as a moment of feeling less isolated with, or overwhelmed by, their pedagogical questions. The workshops overall created spaces that facilitated teachers to take the first steps toward addressing core and difficult issues being raised by the present use of Generative AI in classes.

This workshop series serves as a pathway for UU to address a growing problem by providing resources that help teachers actively develop and employ creative responses to GenAI…sooner rather than later, and with a playful spirit of daring to think differently.

At least 3 more sessions of each workshop will be held in the 2025-6 academic year, where the goal is to expand and help colleagues from Utrecht University (and even beyond) to participate in collaborative speculative futuremaking and engage in hands-on, grounded revision of their assignments. The team will hold at least one “Train the Trainers” session where we can captivate the imagination of others and help them facilitate these workshops in their own courses, programmes, and departments. Additionally, the team would like to provide opportunities for more feedback loops and post-pilot assessments following the two workshops, allowing staff members that participated to work with our team to assess the value, conduct, and outcomes of their pilot tests. These opportunities will be rolled out through the Centre for Digital Humanities or on the Futures + Literacies + Methods website.

Lessons learned

This is an iterative process. The team is currently fine-tuning the workshop structure and content based on our analysis of how the prompts worked. They also elicited feedback from the initial versions and are using this to help tweak the specifics and logistics. Above, they note many things that worked effectively above. Here, the team focusses on what did not work or presented challenges, which they are now improving. For instance:

  • While participants appreciated the design thinking process, the structure and steps seemed too complicated; simplifying the steps will foster greater overall success with moving from idea to pilot test. They are also working with educationalists to combine design thinking language with more curriculum design language.
  • The use of inspirational handouts or materials designed to prompt creative thinking is a good idea. But if presented (or put onto tables), these must be integrated more directly in the workshop content or given after the workshop ends. In early workshops, these were more distracting than useful.
  • Participants in Workshop B found it difficult to move past discussion of core frustrations to focus on action or change through pilot tests; the team believes that more obviously soliciting resistance and frustration may help participants identify, voice, and then or set aside –or bracket temporarily– these frustrations in order to move on.
  • Providing ancillary materials between or after sessions and providing participants with posters to take with them will help extend the pedagogical momentum of these workshops.

Take home messages

  • Do not dismiss the value of having an expert workshop facilitator. Workshops are too often characterized or run as information delivery systems rather than a professional development session that, to work effectively, requires expert pedagogical skillsets.
  • Foster an affirmative lens to addressing the future of GenAI; have participants speculate on what excites them rather than what appalls them; focus on what feels pedagogically invigorating, and try to help the group avoid falling into negative or bleak trajectories, or defaulting to legacy traditions or bureaucratic constraints)
  • Encourage open-mindedness and playfulness by consistently affirming that this is a space to experiment, by repeating that nothing is off limits, that teaching has always been an experiment, and emphasizing that the best way to effectively respond to this disruption is to dare to think differently.
  • Use creative yet structured methods (e.g, design thinking, scenario building, futures horizons) and provide tools and materials (e.g., for prototyping)
  • Reflect and debrief at the end of workshops, by also midway through, by enabling people to voice what feels great and what feels uncomfortable, since this is where the facilitator can help participants notice but then bracket discomfort.

References

The UU Workshop A/B series is listed here: https://cdh.uu.nl/event/cdh-workshop-ai-in-education-2030-speculative-futuremaking/

Future + Literacies + Methods Lab, co-host of this series: https://futureliteracieslab.org/

Bayne, S. (2023). Digital education utopia. Learning, Media and Technology, 49(3), 506–521. https://doi.org/10.1080/17439884.2023.2262382

Eagleton, T. (2015). Hope Without Optimism. Yale University Press. https://doi.org/10.2307/j.ctvj7wnnv

Markham, A. (2020). The limits of the imaginary: Challenges to intervening in future speculations of memory, data, and algorithms. New Media & Society, 23(2), 382-405. https://doi.org/10.1177/1461444820929322

McQuillan, D. (2025). The role of the University is to resist AI. Lecture. Goldsmiths Centre for Philosophy and Critical Thought, June 11, 2025.

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