The Science of Storytelling: A Review of Cognitive Research on Narrative Learning

There is a particular kind of satisfaction when you discover that something you already do intuitively, and without justification, turns out to be backed by decades of research. That is, more or less, what happened to me when I started reading seriously about narrative memory.

During a particularly brutal exam period, I abandoned conventional revision and started turning everything into stories. Molecules in molecular pathways became characters. Biological processes unfolded with conflict and resolution. It felt slightly embarrassing, but it also worked better than anything I had tried before.

When I began to research the science behind it, I didn’t find a single neat explanation, but a set of converging ideas across cognitive psychology and neuroscience that, together, offer a surprisingly coherent picture of how we learn.

(This is not a review of a single book, but of a body of cognitive science literature that collectively explains why narrative learning works.)

Bruner and the structure of thought

One of the most influential contributions comes from Jerome Bruner’s Actual Minds, Possible Worlds (1986). It is a very technical read, but it contains a concept that feels almost obvious once you encounter it: the mind operates through two distinct modes of thinking.

One is logical and analytical: the paradigmatic mode, which uses logic and categories and is the mode most commonly emphasised in formal science training: structured curricula, laboratory reports, multiple choice assessments, and the systematic organisation of factual knowledge (Bruner, 1986). The other is narrative: the mode that organises experience into sequences, causes, and consequences.

Bruner’s argument is not that these modes operate in isolation. For Bruner, neither mode was reducible to the other, both are necessary for the full development of human thought and action (Tamboukou, 2008). What he does argue is that each serves different cognitive functions, and that an overemphasis on paradigmatic thinking in education risks restricting imaginative and divergent thought (Kim, 2016). 

Bruner’s distinction is widely cited in cognitive science and education research, though often underemphasised outside of those fields. While reading it, I kept thinking: why wasn’t this taught during my cognitive neuroscience studies or during any science education at all? Research suggests that science content is better remembered when connected to narrative structure, including how new information was first discovered (Arya & Maul, 2012).

Encouraging students to engage with material through both analytical and narrative frameworks, from secondary school onwards, strengthens the cognitive toolkit they bring to revision, exams, and problem-solving. The fact that this is rarely taught explicitly, at school or at degree level, is a gap that cognitive science has been pointing to for decades. 

The Von Restorff effect: why distinctiveness matters

Even more satisfying is the research on distinctiveness and memory, particularly the Von Restorff effect, documented by German psychiatrist Hedwig von Restorff back in 1933. The finding is deceptively simple: items that stand out from their context are more likely to be remembered. The unusual, the unexpected, and the slightly absurd.

The implication for learning is more interesting than it first appears. Distinctiveness enhances the encoding of memory, whether that distinctiveness comes from novelty, emotional salience, or absurdity. I still remember the story of Alexander Fleming discovering penicillin not because I memorised it from a textbook, but because a teacher told it like a comedy: a notoriously messy scientist goes on holiday, abandons his dirty Petri dishes, comes back to find mould growing on them… and rather than cleaning up, looks closer. The story stuck in my brain precisely because it was unexpected, slightly chaotic, and deeply human. The science attached itself to the narrative and never left.

The slightly ridiculous mental story you create to remember a metabolic pathway may not be a flaw in your study method; it may be leveraging a well-established memory principle. The same goes for the absurd mnemonic your teacher gave you for a drug name or a cranial nerve, if you still remember it years later, that is not coincidence. That is the Von Restorff effect doing exactly what it was designed to do.

Schema theory: how the brain builds structure

The third piece of this puzzle is schema theory, which proposes that prior knowledge forms structured frameworks that support both the encoding and retrieval of new information. In neuroscience, these ideas are closely linked to how the hippocampus and cortical networks organise and consolidate memory over time.

Recent work, including Baldassano et al. (2022), shows that narrative-like schemas provide “anchoring points” for new information in the brain. When incoming material fits into an existing structure (or when we actively construct one), we are not just making it easier to remember, but aligning it with how memory systems naturally organise experience.

Taken together, these three bodies of work - Bruner on narrative modes, Von Restorff on distinctiveness, schema theory on cognitive scaffolding - form a surprisingly coherent case. Stories work because they mirror how the brain encodes, links, and retrieves information.

What this suggests about learning

Stories are not a simplification of learning. They are one of its organising principles.

They provide structure where there would otherwise be fragmentation, distinctiveness where there would otherwise be uniformity, and relational meaning where there would otherwise be isolated facts.

Creativity and scientific rigour, in this sense, are not in opposition. If anything, cognitive science suggests that narrative structure is one of the tools the brain naturally uses to support both.

Final reflection

I came to this research looking for post-hoc justification for something I was already doing. What I found was better than that: a genuine reframe of what it means to learn rigorously.

If you are a student, a researcher, or anyone who has ever felt guilty for making things a bit more interesting than they “need” to be: cognitive science is on your side.

References

• Arya, D. J., & Maul, A. (2012). The role of the scientific discovery narrative in middle school science education: An experimental study. Journal of Educational Psychology, 104(4), 1022–1032.

• Baldassano, C. et al. (2022). Schema representations in distinct brain networks support narrative memory during encoding and retrieval. eLife, 11, e70445.

• Bruner, J. (1986). Actual Minds, Possible Worlds. Harvard University Press.

• Kim, Y. C. (2016). Theoretical possibility and critical review of Bruner's narrative curriculum. Asian Journal of Education and e-Learning, 1(1).

• Tamboukou, M. (2008). A Foucauldian approach to narratives. In M. Andrews, C. Squire, & M. Tamboukou (Eds.), Doing Narrative Research. Sage.

• Von Restorff, H. (1933). Über die Wirkung von Bereichsbildungen im Spurenfeld. Psychologische Forschung, 18, 299-342.

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This article was written by Laura Bilbao Broch and edited by Rebecca Pope, with graphics produced by Neave Smith. If you enjoyed this article, be the first to be notified about new posts by signing up to become a WiNUK member (top right of this page)! Interested in writing for WiNUK yourself? Contact us through the blog page and the editors will be in touch.