Friday, June 20, 2025

Why Neuroscience Matters in Website and eLearning Design

When it comes to designing websites and eLearning programs, it's easy to get caught up in tools and templates—but there’s something deeper that can really elevate your work: understanding how the brain responds to design. Neuroscience isn’t just for labs and textbooks. It offers practical, powerful insights into how users take in information, stay engaged, and remember what they learn. And when we apply those insights, we can create learning experiences that are not just functional, but impactful.


Keeping those neurons firing! (recorded on Juneteenth by Susan Nash)

Take something as simple as color and shape. A recent study by Nissen and colleagues (2024) used brain imaging to explore how people respond to different website designs. They found that blue-colored designs and rounded buttons made people feel more relaxed, less skeptical, and more likely to engage. Why? Because our brains evolved to associate blue with safe, calming environments like the sky and water, and to view rounded shapes as approachable and non-threatening. On the other hand, sharp corners and lots of red can trigger the opposite: alertness, caution, even discomfort.

Here's an example: an online learning platform revamped their interface, swapping out harsh red accents and boxy buttons for soft blue tones and rounded shapes. The result? Learner engagement and satisfaction scores climbed significantly. People stayed on the site longer and completed more modules. It wasn’t just about making things look nice—it was about tapping into how the brain naturally processes visual cues.

Another real-world example: a global logistics company redesigned its compliance training. They color-coded content so users could instantly recognize urgency—red for critical warnings, green for safe actions, and blue for instructions. These visual signals aligned with how the brain reacts to color in high-stakes settings. The results were clear: learners performed better on scenario-based tasks and made fewer errors. Neuroscience explains this: when cognitive load is reduced through intuitive design, people can focus more on the content and less on figuring out what to do next.

Verbal processing matters too. Research on language areas of the brain (Amunts et al., 2004) shows that when information is structured in logical, semantic categories, people are better at remembering and using it. This has huge implications for how we write eLearning content. Organizing lessons into clearly defined themes, using consistent language, and providing visual anchors (like icons or mind maps) can support the brain’s natural way of retrieving meaning.

Why is the dog wearing a black sock? (sketch by Susan Nash) 

Now, imagine a virtual high school biology course that uses subtle attention cues—like pulsing highlights or animated arrows—to bring learners’ eyes back to key information when they start to drift. These cues could be timed to match typical attention cycles (about 10–12 minutes). While hypothetical, this kind of design could increase quiz scores and completion rates by keeping learners mentally “in the room.” It’s a simple, neuroscience-informed strategy with a big potential payoff.

One caution: just because something sounds scientific doesn’t mean it is. Neuro-linguistic programming (NLP), for example, often uses fancy terms like “neuro” and “programming,” but as Roderique-Davies (2009) points out, it lacks real scientific backing. That’s why it’s important to focus on design practices supported by solid, peer-reviewed research.

In the end, understanding a little neuroscience goes a long way. It helps us create websites and learning experiences that feel intuitive, engaging, and even enjoyable. And best of all, it helps learners get what they need faster—and retain it longer. For anyone involved in design or training, that’s a win.

References

Amunts, K., Weiss, P. H., Mohlberg, H., Pieperhoff, P., Eickhoff, S., Gurd, J. M., ... & Zilles, K. (2004). Analysis of neural mechanisms underlying verbal fluency in cytoarchitectonically defined stereotaxic space—The roles of Brodmann areas 44 and 45. NeuroImage, 22(1), 42–56. https://doi.org/10.1016/j.neuroimage.2003.12.031

Nissen, A., Riedl, R., & Schütte, R. (2024). Users’ reactions to website designs: A neuroimaging study based on evolutionary psychology with a focus on color and button shape. Computers in Human Behavior, 155, 108168. https://doi.org/10.1016/j.chb.2024.108168

Roderique-Davies, G. (2009). Neuro-linguistic programming: Cargo cult psychology? Journal of Applied Research in Higher Education, 1(2), 58–63. https://doi.org/10.1108/17581184200900014

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