For many years, education has largely treated academic learning and cognitive development as separate things. Reading programs focused on reading. Math programs focused on math. Spelling programs focused on spelling. When children struggled academically, the usual solution was simply to provide more practice in the weak subject area.
Yet this approach often produces disappointing results, especially for children with learning difficulties.
A child may spend years receiving extra reading instruction, but continue to read slowly and laboriously. Another may practice math repeatedly yet still struggle to remember basic facts or follow multi-step procedures. In many cases, the problem is not a lack of effort, motivation, or exposure to instruction. The deeper issue may involve weaknesses in the cognitive systems that support learning itself.
Modern cognitive science increasingly suggests that academic learning does not operate independently of cognition. Reading, writing, spelling, comprehension, and mathematics all rely heavily on underlying cognitive processes such as attention, memory, processing speed, sequencing, perception, and reasoning. When these systems become stronger and more efficient, academic performance often improves as well.
This is one reason cognitive training can transfer to academic learning.
Academic skills depend on cognitive skills
Every academic task relies on multiple cognitive processes working together.
Consider reading. A child must focus attention, process visual information accurately, distinguish letter patterns, remember sound-symbol relationships, sequence sounds correctly, blend them smoothly, and retrieve words rapidly from memory. Comprehension places even greater demands on working memory, language processing, visualization, and reasoning.
Math involves a similarly complex network of cognitive abilities. Students must hold information in working memory, follow step-by-step sequences, process spatial relationships, recognize patterns, retrieve facts quickly, and sustain attention long enough to solve problems accurately.
Writing, too, depends on more than language knowledge alone. A child must organize ideas, maintain attention, remember spelling patterns, sequence information logically, and coordinate visual and motor systems simultaneously.
Academic learning is therefore not built solely on subject knowledge. It is built on cognitive foundations.
The brain works as an integrated system
Traditional educational models sometimes treated the brain as if it consisted of isolated compartments. One area supposedly handled reading, another math, another memory, and another attention.
Modern neuroscience paints a far more interconnected picture.
The brain functions as a highly integrated network in which attention, perception, memory, language, motor systems, and reasoning constantly interact. Strengthening one system may therefore influence the efficiency of others.
This interconnectedness helps explain why improvements in cognitive functioning can sometimes produce broader academic gains. For example, stronger working memory may help a student follow reading comprehension passages more effectively, remember math procedures more accurately, and organize written work more successfully. Better sequencing ability may support spelling, reading fluency, mathematical procedures, and logical thinking simultaneously.
Cognitive training does not “teach reading” or “teach math” directly. Rather, it aims to strengthen the mental processes upon which these academic skills depend.
Why repetition alone is often not enough
Parents and teachers are frequently told that struggling learners simply need more practice. Certainly, practice is important. However, practice alone may not solve the problem if the underlying cognitive systems remain weak.
Imagine asking a child with poor sequencing skills to repeatedly practice long division. The child may temporarily memorize certain procedures, but the task will continue to place enormous strain on working memory and sequencing processes. Similarly, asking a struggling reader to simply “read more” may not resolve difficulties involving slow processing speed, weak visual tracking, or poor automaticity.
This helps explain why some students appear to work extremely hard yet make limited progress. The issue is not necessarily effort. It may be that the cognitive demands of learning exceed the efficiency of the child’s current processing systems.
Strengthening those systems can make academic learning easier, faster, and more automatic.
Learning becomes more efficient
One of the most important effects of cognitive training is increased learning efficiency.
Children with weak cognitive skills often expend enormous mental energy on basic tasks. Reading may remain slow and effortful because too much attention is devoted to decoding individual words. Math procedures may consume working memory resources that should ideally be available for reasoning and problem solving.
As cognitive processes become more automatic, mental resources are freed for higher-level thinking.
A fluent reader, for example, no longer needs to consciously analyze every word. Because word recognition becomes automatic, the brain can focus more fully on meaning, inference, and comprehension. Similarly, students who automate basic math facts can devote more attention to problem-solving and conceptual understanding.
This is one reason foundational skills matter so much. Automaticity reduces cognitive load.
Neuroplasticity makes change possible
The idea that cognitive training can improve academic learning is closely connected to the concept of neuroplasticity — the brain’s ability to change through experience and practice.
For much of history, intelligence and cognitive ability were often viewed as relatively fixed. Modern neuroscience, however, demonstrates that the brain remains remarkably adaptable. Repeated mental activity strengthens neural connections, while carefully designed practice can help develop more efficient processing networks.
This does not mean that every program claiming to “train the brain” is effective. Some exaggerated claims have understandably created skepticism. However, the existence of poor-quality programs does not invalidate the broader principle that cognitive systems can be strengthened through targeted intervention and meaningful practice.
The key lies in the quality, intensity, sequencing, and relevance of the training.
Why transfer happens
Critics of cognitive training sometimes argue that training only improves performance on the specific exercises being practiced. Certainly, narrow practice effects do occur. However, transfer becomes more likely when training targets cognitive systems that are used across academic tasks.
For example:
- sequencing supports reading, spelling, math procedures, and writing organization;
- working memory supports comprehension, problem solving, and following instructions;
- processing speed influences fluency across multiple subjects;
- attention affects virtually every aspect of learning;
- visual and auditory processing influence reading, spelling, and mathematics.
Because these systems underpin so many academic activities, improvements in their efficiency may influence learning more broadly.
Transfer, therefore, is not mysterious. It reflects the interconnected nature of cognition itself.
Cognitive training is not a replacement for teaching
It is important to understand that cognitive training is not a substitute for good academic instruction. Children still need explicit teaching, structured literacy, guided math instruction, and meaningful educational experiences.
Cognitive training works best when combined with direct academic intervention.
If a child has never been properly taught phonics, strengthening memory alone will not magically produce fluent reading. Likewise, stronger attention will not replace the need for systematic math instruction. Academic skills must still be taught directly and carefully.
However, when stronger cognitive foundations support that instruction, learning often becomes more successful.
A more complete view of learning
Education sometimes creates a false choice between academics and cognition, as though schools and interventions must focus on one or the other. In reality, the two are deeply connected.
Academic learning depends on cognitive functioning, and cognitive development influences academic success.
This broader understanding offers a more hopeful perspective for struggling learners. Instead of viewing children as permanently limited by weak academic performance, we can recognize that many students need stronger cognitive foundations, better instructional sequencing, more meaningful repetition, and learning experiences that engage the brain more fully.
Learning is not built on content alone. It is built on the cognitive systems that allow the brain to attend, process, remember, organize, and apply information effectively.
When those systems become stronger, academic learning often follows suit.
Edublox offers cognitive training and live online tutoring for students with dyslexia, dysgraphia, dyscalculia, and other learning difficulties. We work with families in the United States, Canada, Australia, and around the world. Book a free consultation to discuss your child’s learning needs.
- Why Cognitive Training Transfers to Academic Learning was authored by Sue du Plessis (B.A. Hons Psychology; B.D.), an educational specialist with 30+ years of experience in the learning disabilities field.
- Edublox is proud to be a member of the Institute for the Advancement of Cognitive Education (IACE), an organization dedicated to improving learning through cognitive education and mediated learning approaches.
