I’m an unabashed science fiction nerd. My bookshelf is an embarrassment of riches: dog-eared copies of Le Guin’s Always Coming Home, Butler’s entire Xenogenesis series, and all three volumes of Kim Stanley Robinson’s Mars trilogy. For years, I kept these books carefully separated from my professional life as a learning experience designer, as if enjoying speculative fiction somehow made me less serious about educational technology. I have come to realize that the habit is not a guilty pleasure. It has made me better at my job.
These authors offer more than entertainment or escape. They provide ways of looking at learning environments that challenge our assumptions about educational technology and open up possibilities we would not otherwise consider. And let’s be honest: in a field that can get bogged down in learning management system specifications and engagement metrics, we could use a little more imagination.
This piece is a map of the themes I keep returning to. Several of them have since become full articles of their own, which I link where they fit, so if one thread pulls at you, there is somewhere to go next.
Technology choice and purpose
In Le Guin’s Always Coming Home, we meet a future California society that has made deliberate choices about which technologies to embrace and which to leave behind. Their learning practices span mentorship, oral tradition, and communal knowledge, and their technology serves their cultural values rather than reshaping them. Becky Chambers’ A Psalm for the Wild-Built imagines a world that has restructured its relationship with technology around wellbeing rather than efficiency.
What these books ask of us is uncomfortable in a good way. Which of our technologies actually serve learning, and which have we adopted reflexively? When do our tools enhance the work and when do they put barriers in front of it? And what would a learning platform look like if wellbeing, rather than efficiency, were the thing it was built around?
Knowledge evolution and transmission
Robinson’s Mars trilogy shows knowledge adapting across generations in an environment nobody has lived in before. From the first hundred settlers sharing expertise to the eventual development of new universities and apprenticeship systems, we watch learning systems that have to balance preservation with adaptation. Their struggle to reconcile Earth-based knowledge with Martian reality mirrors the tension in our own work between what we inherit and what our context demands.
The questions here are about time. How do we design learning systems that can evolve with their communities? What role should preservation play against adaptation? And what changes if we design a platform not for this year’s needs but for generational transmission? I followed one strand of the Mars trilogy, the physicist Sax Russell’s slow realization that technical questions were never separate from ethical ones, in What a Fictional Physicist Taught Me About Ethics in Technology.
Language, communication, and learning
China Miéville’s Embassytown explores how language shapes thought and reality, while Maureen McHugh’s China Mountain Zhang examines how educational systems encode cultural values and reinforce hierarchies. Through different lenses, both reveal that the structures we build for learning can expand or limit the ways people are able to think and know.
For designers, that raises questions about the language inside our platforms and what it does to learning, about the implicit biases we build into educational technology without noticing, about how we design for multilingual and multicultural environments, and about what happens when we privilege certain ways of knowing over others.
Adaptability and resilience
Across Butler’s work and Robinson’s trilogy, learning has to survive radical environmental and social change. Their characters build knowledge-sharing systems that keep functioning through upheaval, which feels increasingly relevant as we design for a future none of us can predict.
The design questions follow from that. How do we build learning systems that stay resilient through change? What balance should we strike between structure and flexibility? And how do we prepare learners for uncertainty rather than pretending it away? Le Guin’s own rhythm of action, information, and rest turned out to be a useful answer to part of this, and I wrote about it in Action, Information, Rest: Cycles of Design.
Community and individual learning
Le Guin’s work consistently explores the relationship between community knowledge and individual growth. The Kesh approach to education in Always Coming Home offers an alternative to our rigid, institution-centered learning technologies. Their integration of personal discovery with collective knowledge suggests different ways to structure digital learning environments, ones where the community is the context rather than an add-on.
How do we honor individual paths while fostering community? What role should peer learning play? How might we better integrate informal and formal learning, and what can we learn from traditional knowledge-sharing practices that predate any platform? The most direct thing I have written on this is Le Guin’s Carrier Bag Theory in Learning Design, which takes her argument about the shape of stories and asks what it means for the shape of a course. The Unwavering Band of Light sits in this same territory.
Permission, not prediction
Speculative fiction offers educational technology something other than escapism: a framework for reimagining what is possible. Whether it is the conscious technological choices of Le Guin’s Kesh, the solarpunk optimism of Chambers’ robots, or the evolving systems of Robinson’s Mars, these works push us to think harder about where technology, learning, and human experience meet.
As learning designers, we do not need to wait for the future to start asking better questions about our work. These authors have already mapped the territory. What if we approached the next project not just as technologists, but as anthropologists of possible futures?
The greatest gift science fiction offers our field is not prediction but permission. Permission to imagine radically different ways of teaching, learning, and knowing. In a field driven by metrics and standardization, we need those alternatives more than ever.
