16/08/2026
🧠 Traditional education has often been designed around a narrow learner profile. Psychology tells us that human learning is far more variable.
Many established teaching practices assume that pupils will learn effectively when they:
• Sit still and remain quiet
• Listen to extended verbal instruction
• Hold several directions in working memory
• Shift attention when instructed
• Work at a prescribed pace
• Tolerate busy sensory environments
• Demonstrate knowledge through writing or timed assessment
These requirements may appear academically neutral, but they place significant demands on attention, working memory, executive functioning, language processing, motor coordination and sensory regulation.
As CAST (2018) states:
“Variability is the dominant feature of the nervous system.”
The psychology of cognitive load
Working memory is the limited-capacity system used to hold and manipulate information during learning. Baddeley’s model of working memory (2000) explains that learning requires coordination between verbal information, visual-spatial information, attention and long-term memory.
Sweller’s Cognitive Load Theory (1988) proposes that learning becomes less efficient when the demands placed on working memory exceed its available capacity.
For a neurodivergent learner, cognitive resources may already be occupied by:
• Filtering noise, light and movement
• Interpreting ambiguous language
• Remembering multi-step instructions
• Regulating emotional and physiological arousal
• Initiating and sequencing an activity
• Monitoring time
• Suppressing movement or other natural regulatory behaviours
• Trying to appear “appropriately attentive”
The learner is therefore completing two tasks: engaging with the curriculum and managing the environment in which it is delivered.
When working memory is being used to regulate sensory input, uncertainty or social threat, less capacity may remain for comprehension, problem-solving and memory consolidation.
What looks like inattention may be cognitive overload.
What looks like avoidance may be an attempt to regulate distress.
What looks like poor motivation may be difficulty initiating, sequencing or sustaining goal-directed behaviour.
What looks like limited knowledge may reflect an inaccessible method of assessment.
Evidence from ADHD research
Cole, Chan, Gaye, Harmon and Kofler (2024) studied 309 children with and without ADHD.
Their analysis found that working memory and organisational skills together accounted statistically for all of the observed group difference in academic achievement and 80.6% of the difference in academic performance within their sample.
This does not mean that every child with ADHD has the same cognitive profile. It demonstrates that academic outcomes can be strongly influenced by neuropsychological processes that conventional teaching may interpret as effort, responsibility or attitude.
A child can understand the subject and still struggle to organise the behaviour required to demonstrate that understanding.
Evidence from autistic learners
McKinlay, Thorpe, Cage, Grainger, Jasper and Stewart (2024) reviewed 36 qualitative studies examining what autistic students considered important for positive experiences in mainstream secondary school.
Three central themes emerged:
“Understanding and Acceptance”
“Environments that suit me”
“Agency to meet my needs”
Students identified supportive relationships, acceptance, meaningful activities, personal agency, and adaptations to sensory and social environments as important.
These findings shift the psychological question away from:
“How do we make this learner fit?”
Towards:
“What conditions allow this learner to participate and learn?”
Why belonging and autonomy matter
Learning is not a purely intellectual process. Attention and memory are influenced by emotion, motivation, perceived safety and relationships.
Ryan and Deci’s Self-Determination Theory (2000) identifies autonomy, competence and relatedness as fundamental psychological needs. When these needs are supported, motivation and wellbeing can be strengthened. When they are repeatedly obstructed, motivation and functioning may deteriorate.
A classroom organised primarily around control and compliance can unintentionally frustrate all three:
• Limited choice reduces autonomy
• Repeatedly inaccessible tasks undermine competence
• Correction, exclusion and misunderstanding weaken relatedness
Over time, experiencing failure despite genuine effort may contribute to shame, anxiety, avoidance and reduced academic self-efficacy. The learner may begin to anticipate failure before a task has started.
Universal Design for Learning
Universal Design for Learning—UDL—offers a psychologically informed approach.
Rather than waiting for a learner to experience difficulty and then adding an adjustment, UDL asks educators to anticipate neurological, cognitive and sensory variability when designing learning.
CAST’s UDL Guidelines 3.0 (2024) organise this around three principles:
1. Multiple means of engagement
Supporting different routes into motivation, relevance, participation and emotional regulation.
2. Multiple means of representation
Providing different ways to perceive and understand information, including language, visuals, modelling, demonstration and accessible technology.
3. Multiple means of action and expression
Providing different ways to plan, communicate and demonstrate learning while supporting executive functioning.
In practice, this can include:
• Explicit learning goals
• Spoken and visual instructions
• Reduced unnecessary sensory demands
• Predictable routines
• Advance notice of changes
• Tasks divided into manageable stages
• Choice where the learning goal allows it
• Models, prompts and worked examples
• Movement and regulation opportunities
• Flexible ways to demonstrate understanding
• Assistive technology
• Frequent, specific and non-shaming feedback
UDL does not mean removing intellectual challenge or creating a separate lesson for every pupil.
It means preserving the essential learning goal while reducing barriers that are not part of that goal.
The evidence base for UDL continues to develop, and implementation quality matters. It should not replace individual assessment or specialist support. Its central premise is nevertheless consistent with cognitive and educational psychology: learner variability is expected, context affects performance, and flexible design can improve access.
At AYC, we believe behaviour should be understood in context.
Before asking why a learner is not engaging, we should ask:
• How much load is being placed on their working memory?
• What is their sensory system managing?
• Are the expectations clear and explicit?
• Do they feel safe, accepted and competent?
• Can they access the information?
• Can they demonstrate knowledge without an unrelated barrier obscuring it?
Inclusion is not asking neurodivergent learners to tolerate an inflexible system more successfully.
It is designing learning around the scientific reality of human variability.
Research and further reading:
• CAST (2018), UDL and the Learning Brain
• CAST (2024), Universal Design for Learning Guidelines 3.0
• Cole et al. (2024), working memory, organisational skills and academic functioning in ADHD
• McKinlay et al. (2024), autistic students’ experiences in mainstream secondary school
• Ryan and Deci (2000), Self-Determination Theory
• Sweller (1988), “Cognitive Load During Problem Solving: Effects on Learning”
• Baddeley (2000), “The Episodic Buffer: A New Component of Working Memory?”