By Betsy Hill and Roger Stark
As education focuses increasingly on differences between learners and the need for differentiated instruction, it’s equally important to recognize how much variability exists within individual learners. Intra-learner variability—differences in a single student’s strengths and weaknesses across cognitive and academic tasks—can be just as confusing and frustrating for students as the more familiar concept of variability between students.
It’s tempting to label students simply: “A student,” “B student,” “strong learner,” or “weak learner.” In reality, few students fit such tidy boxes. Most learners display a mix of abilities that vary by task and context. In fact, if there were a truly average student, chances are they would never have been in your classroom.
Consider a personal example. In high school I (Betsy) had a strong aptitude for languages—learning a new language came relatively easily. Put me on a sports field, however, and I struggled. Poor depth perception made activities like archery and ball sports difficult, while other forms of physical expression, like dance, suited me better. Those contrasting experiences helped me understand why learning can feel so inconsistent from a student’s perspective.
As Todd Rose argues in The End of Average, each person brings a unique combination of strengths and weaknesses to every learning situation. Two students may perform very differently in the same class because their cognitive skill profiles vary: one may have strong perception but weak memory, while another shows the reverse. These differences are not always visible or predictable, and that unpredictability often causes anxiety.
Uneven cognitive skills can be especially stressful. When a student excels in some areas but struggles in others—and doesn’t understand why—the learning environment becomes unpredictable. Some lessons will feel effortless; others will feel impossibly hard. For example, a student may breeze through many math problems but freeze on a problem that requires a different approach, or read fluently until encountering an unfamiliar word that trips them up. These inconsistencies can make success feel like luck rather than the result of effort and strategy.
Take cognitive flexibility (flexible thinking) as an example. This skill helps learners recognize when their usual method isn’t working and to shift to a new strategy. A student with strong memory and attention but weaker cognitive flexibility may excel at familiar tasks but struggle when they face novel problems that require a different perspective. Because the underlying cause isn’t obvious, the student and their teachers may misinterpret the pattern as a lack of ability rather than a mismatch of cognitive strengths.
When students don’t understand the specific profile of their cognitive skills, they often experience frustration, stress, and self-doubt. Teachers and parents may unintentionally add to that stress by saying, “You’re so smart—you should get this,” which can further confuse students who are already trying to make sense of why some tasks are easy and others are hard.
Contrast that with a student who receives a clear explanation of their cognitive strengths and weaknesses, along with targeted tools and strategies. If a student learns they have comparatively weaker cognitive flexibility but stronger memory and attention, they can use strategies to compensate while building that weaker skill. They can be taught when and how to change approaches, how to break unfamiliar problems into manageable steps, and how to apply learning strategies intentionally rather than relying on chance.
With that understanding and practical support, learning becomes more predictable and less stressful. Students gain agency: they can apply strategies, practice targeted skills, and track improvement. That shift—from unpredictability to strategic action—empowers learners to take responsibility for their education and reduces the anxiety caused by inconsistent performance.
Recognizing and addressing intra-learner variability is essential for effective differentiation. Rather than assuming a uniform profile across subjects, educators and parents benefit from assessing the specific cognitive components that underlie performance—attention, memory, perception, reasoning, and flexibility—and aligning instruction and supports to help each student succeed.
About the authors
Betsy Hill is President of BrainWare Learning Company, which builds learning capacity through practical applications of neuroscience. An experienced educator, she has studied the links between neuroscience and education with Dr. Patricia Wolfe and other experts. She formerly chaired the board of trustees at Chicago State University and teaches strategic thinking in the MBA program at Lake Forest Graduate School of Management. She holds a Master of Arts in Teaching and an MBA from Northwestern University.
Roger Stark is Co-founder and CEO of BrainWare Learning Company. Over the past decade he has worked to make cognitive literacy assessment and training broadly accessible. Drawing on decades of clinical collaboration, he helped develop BrainWare SAFARI, an integrated online cognitive literacy training tool. He led efforts to build effective, affordable cognitive training grounded in what we know about the brain and learning. Follow BrainWare Learning on Twitter @BrainWareSafari.
This article was originally published by The Learning Counsel, a research institute and news media hub focused on the shift in education toward digital curriculum.