Introduction

In every primary school classroom across the United Kingdom, there exists a cohort of children whose struggles remain largely invisible. These are not the pupils who attract immediate attention through disruptive behaviour or outward expressions of distress. Rather, they are the children who sit quietly at their desks, compliant and undemanding, yet internally navigating profound emotional turmoil. Internalising behaviour is characterised by anxiety, withdrawal, and dysphoria, standing in marked contrast to externalising problems which include impulsivity, aggressiveness, and disruptiveness. While the latter commands swift intervention, the former often passes undetected until its consequences become severe.

 One in eight children aged 5–19 years in the UK suffer from a psychiatric disorder, while fewer than 35% are identified and only 25% of children access mental health services. These statistics represent not merely numbers, but real children sitting in real classrooms, many of whom internalise their distress in ways that evade conventional observation. 

 A 2023 survey of children and young people's mental health found that 20% of children aged 8 to 16 had a probable mental disorder, up from 12% in 2017. This dramatic escalation demands that educators, pastoral teams, and safeguarding professionals fundamentally reconsider how they identify children in need.

The challenge before us is both conceptual and practical. How do we notice a child who has learned, consciously or otherwise, not to be noticed? How do we identify suffering when its primary characteristic is silence? And how might emerging technologies, particularly Emotional AI, augment our capacity to detect subtle cues that the human eye may miss? These questions lie at the heart of contemporary safeguarding practice and carry profound implications for the wellbeing of our youngest learners.

Understanding Internalising Behaviours in Primary-Aged Children

The Nature of Internalised Distress

Internalising behaviours represent a distinct category of psychological difficulty that manifests inwardly rather than outwardly. 

Internalising behaviour problems include being withdrawn, demanding attention, being too dependent or clingy and feeling worthless or inferior. Unlike their externalising counterparts, these behaviours rarely disrupt classroom routines or demand immediate adult intervention. Consequently, they receive disproportionately less attention despite carrying significant long-term implications for child development.

 From early childhood through to adolescence, socially withdrawn children are concurrently and predictively at risk for a wide range of negative adjustment outcomes, including socio-emotional difficulties such as anxiety, low self-esteem, depressive symptoms, and internalising problems, as well as peer difficulties including rejection, victimization, and poor friendship quality, and school difficulties such as poor-quality teacher-child relationships, academic difficulties, and school avoidance. This constellation of risks underscores the urgency of early identification. A child who appears merely "shy" or "quiet" may, in reality, be experiencing the early manifestations of anxiety, depression, or trauma-related distress.

Developmental Considerations

The primary years represent a critical developmental window during which internalising patterns often become established. 

Fifty percent of mental health problems are established by age 14 and 75% by age 24, whilst 10% of children and young people aged 5 to 16 years have a clinically diagnosable mental problem, yet 70% of children and adolescents who experience mental health problems have not had appropriate interventions at a sufficiently early age.

 Research examining children who have problems with regulating their emotions at age seven found that mood swings, often getting over-excited, and being easily frustrated were significantly associated with internalising behaviours such as anxiety and depression symptoms in the teenage years, with this link present until age 17, suggesting a sustained effect of intense emotions in the early years. This longitudinal evidence emphasises that what we observe—or fail to observe—in primary school classrooms carries implications extending well into adolescence and beyond.

Furthermore, whilst boys are more likely to develop neurodevelopmental conditions and behavioural problems which mostly present in childhood, internalising difficulties show different patterns, with prevalence escalating rapidly among girls after puberty. This developmental trajectory suggests that primary school represents a window of opportunity for identification and intervention before gender-differentiated patterns fully emerge.

The Challenge of Identification: Why the Quiet Child Remains Unseen

Limitations of Traditional Approaches

 One of the most commonly used methods for identifying mental health difficulties in schools is teacher nomination, where classroom teachers are given a brief description of possible behavioural and emotional manifestations of a problem and are asked to nominate children in their class who they believe exhibit the described symptoms. However, studies have found that teachers routinely under-identify students with internalising problems and depression, therefore limiting its utility when used in isolation.

This under-identification occurs for several interconnected reasons. Teachers, operating under considerable time pressure with large class sizes, naturally attend first to behaviours that disrupt learning or pose immediate safety concerns. The withdrawn child who completes work quietly demands nothing and therefore receives less scrutiny. Moreover, 

given the reserved and quiescent demeanour of many socially withdrawn children and given that they often attempt to avoid social company to begin with, one might expect that they would be protected from a bullying experience; and yet, researchers have consistently reported that this group of children and young adolescents is at high risk for peer victimisation.

The Complexity of Withdrawal

Not all withdrawal warrants concern. 

Some children simply have a slow-to-warm-up temperament and may approach new things more cautiously, taking longer to trust people or adapt to new surroundings. Others have more subdued natures, enjoying their own company and needing alone time to recuperate as introverts; this is simply their nature and it is inappropriate to assign a value of good or bad to different personality types.

The professional challenge lies in distinguishing temperamental preference from pathological withdrawal, introversion from isolation, and healthy solitude from lonely suffering. 

It is important to try to understand the underlying reason behind a child's withdrawn behaviour—whether it is purely their quieter nature, or cause for concern. This requires sustained observation, relational attunement, and sophisticated interpretive frameworks that move beyond simplistic categorisation.

 When young children feel anxious, they cannot always understand or express what they are feeling. This developmental limitation compounds identification difficulties. A seven-year-old experiencing significant anxiety may lack the metacognitive capacity to recognise their internal state, let alone articulate it to a trusted adult. Their distress may manifest only through subtle behavioural changes—increased absenteeism, declining participation, altered eating patterns, or somatic complaints—each individually explicable, but collectively indicative of deeper difficulty.

Practitioners should attend to changes in:

• Participation patterns: Progressive withdrawal from activities previously enjoyed, reluctance to contribute to class discussions, or avoidance of collaborative work

• Social behaviour: Increasingly isolated playtimes, loss of existing friendships, or difficulty engaging with peers

• Physical presentation: Changes in posture, reduced eye contact, altered speech patterns, or expressions of fatigue

• Academic engagement: Declining concentration, incomplete work, or perfectionism that prevents task completion

• Somatic complaints: Frequent requests to visit the school nurse, unexplained stomach aches, or headaches without medical cause

 Signs of distress can sometimes appear subtle or even the opposite of what one might expect; while some children become quiet and withdrawn, others may act out or show increased irritability. This heterogeneity necessitates individualised observation rather than reliance upon standardised checklists.

Contextual Awareness

 Educators should consider what it is about particular times or activities that creates problem situations, looking at the conditions that bring about withdrawn behaviour. Perhaps the child starts to brood when certain subject matter is discussed, or becomes uncomfortable with particular material, or has a situation with a classmate that causes withdrawal when group assignments are announced. Isolating the conditions that bring on the problem behaviour enables a better understanding of when it is most likely to happen and identification of the root cause.

This contextual awareness extends beyond the classroom. 

The family environment significantly shapes internalising and externalising behavioural profiles across the first decade of life, with changes and events in children's proximal family environments associated with both types of difficulties. A child's withdrawal at school may reflect domestic circumstances—parental separation, bereavement, housing instability, or exposure to conflict—that manifest as emotional containment within the educational setting.

The Role of Emotional AI in Early Detection

Technological Capabilities

 The integration of Artificial Intelligence into educational settings marks a significant advancement in detecting, assessing, and nurturing students' emotions. AI's ability to analyse complex emotional behaviour patterns through data collected during the learning process enables a deeper understanding of each student's needs. By employing advanced algorithms, AI can detect signs of frustration, boredom, or enthusiasm, allowing educators to tailor their teaching methods more effectively. 

 AI is now being embedded into the emotional fabric of educational environments, offering new possibilities for understanding and addressing the psychological and emotional needs of both educators and learners. Among these emerging technologies, AI-enhanced emotional support systems stand out for their capacity to detect, interpret, and respond to emotional cues through various data sources, such as facial expressions, voice modulation, biometric feedback, and textual analysis. These systems are designed not only to monitor emotional states in real time but also to provide personalised interventions, such as stress-reduction prompts, mental health resources, or timely alerts to school counsellours or administrators.

For the "quiet sufferer," such technologies offer particular promise. 

Emotion detection AI can detect signs of distress or emotional instability early on. By analysing students' facial expressions, voice patterns, and written communication, AI systems can identify subtle cues indicative of stress, anxiety, depression, or other mental health issues. Early intervention strategies can then be implemented to provide support and resources to students in need before their wellbeing deteriorates further.

Practical Applications

 Consider a scenario where at-home stressors are preventing a young pupil from focusing during class. Instead of waiting until grades have dropped beyond repair, an Emotion AI-powered system could harness data to track emotional trends, alerting the teacher to the changed mental state before it is too late to make a positive intervention. 

 Emotion recognition systems have the potential to enhance the practical aspects of education by enabling adaptive teaching strategies. These systems can alert educators when students display signs of frustration or disengagement, allowing timely intervention to refocus attention or clarify misunderstood material. For withdrawn children who would never raise their hand or seek help directly, such systems provide a safety net that does not rely upon the child's capacity or willingness to self-advocate. 

 With its emotion-monitoring abilities, Emotion AI can identify cues related to negative interactions, such as feelings of shame or physiological predictors of concerning behaviour, and alert school administrations to help keep their students healthy, happy, and safe. This capacity to detect what children cannot or will not verbalise represents a significant advancement in safeguarding capability.

Ethical Considerations and Human Oversight

 AI's susceptibility to bias based on the data and information it is given raises legitimate concerns. Bias in these tools can lead to unfair or ineffective outcomes, particularly when dealing with sensitive issues such as mental health. This concern can be mitigated by ensuring that the data collected is representative of the student population each institution serves and by examining training data for potential bias. Additionally, institutions must ensure that these algorithms are sensitive to cultural differences in emotional expression and avoid making assumptions based on a narrow or dominant cultural lens. 

 Whilst AI promises significant support in personalised learning, it also presents risks that directly affect students' emotional and social wellbeing, especially when implemented without a critical and human pedagogical approach. Technology must augment, never replace, human judgement and relational care. 

 AI cannot replace human care, but it can help. The detection of subtle cues should prompt human inquiry, conversation, and intervention—not automated responses or algorithmic decision-making about children's welfare. 

 Students sometimes find it easier to turn to AI for dealing with emotional problems. Student nervousness plays into why they are comfortable confiding in these technologies. Speaking with a mental health professional can be intimidating, especially for adolescents. This observation carries particular relevance for primary-aged children who may lack the confidence or vocabulary to express their difficulties to adults.

Implications for Practice

Whole-School Approaches

 Embedding an evidence-based, holistic, whole school or college approach to mental health and wellbeing is essential. The Department for Education and the Office for Health Improvement and Disparities have published guidance on the eight principles of a whole school approach, which include an ethos and environment that promotes respect and values diversity, leadership and management that supports efforts to promote emotional health and wellbeing, staff development, and curriculum teaching to promote resilience and support social and emotional learning. 

 Schools have an important role in reducing internalised problems, starting early on with emotional wellbeing promotion and responding to first symptoms. A comprehensive whole-school approach to mental health and internalised problems could serve as climate change since research shows that besides supporting relationships, a skill-building approach is most promising. Effects of school prevention programmes are small to moderate, but thinking strategically, comprehensive planning of interventions on all levels could relieve the burden on healthcare and social services.

Training and Professional Development

 Mental health problems affect many people, and most schools will have pupils who need mental health support. Guidance aims to help schools support pupils whose mental health problems manifest themselves in behaviour. However, current training often emphasises externalising behaviours that disrupt learning, inadvertently neglecting the internalising presentations that pose equal developmental risk. 

 Too many young people are unfairly labelled as troublemakers when in fact they have unmet mental health problems. Schools want clear guidelines on how best to separate poor behaviour from underlying mental health issues. Teachers are not therapists but they play a vital role in the lives of their pupils. This recognition must extend to understanding that absence of behavioural difficulty does not indicate absence of need.

Professional development should equip staff to recognise the subtle signs of internalised distress, understand developmental trajectories of withdrawal, and feel confident in initiating supportive conversations with children who may not volunteer their difficulties. 

The roll-out of Mental Health Support Teams is aimed to extend to an estimated 44% of pupils by the end of financial year 2023/24, and at least 50% by the end of March 2025, with over 14,400 settings having claimed a grant to train a senior mental health support lead.

Multi-Agency Collaboration

 Developing a joined-up system of support that includes a wide range of behavioural and mental health interventions, along with trauma-informed interventions, can more effectively identify and support students with internalised socio-emotional problems that are not overtly presented and easily identified. Schools cannot address these challenges in isolation. 

 Guidance outlines how schools can identify whether a child's behaviour—whether disruptive, withdrawn, anxious, depressed, or otherwise—may be related to a mental health problem, and how to support them, providing advice on working with other professionals and external agencies where appropriate. Effective identification of the quiet sufferer requires collaboration between educators, pastoral staff, school nurses, educational psychologists, and mental health professionals, each contributing distinct expertise to a comprehensive understanding of the child's needs.

Conclusion

The quiet child who struggles silently presents one of safeguarding's most persistent challenges. Unlike externalising difficulties that demand immediate response, internalised distress operates beneath the surface, evading detection until its consequences become severe. Several studies have shown that social withdrawal in childhood increases the risk of psychosocial maladjustment and mental health problems, such as depression, loneliness, and anxiety. Early identification is not merely beneficial—it is essential.

 In the last three years, the likelihood of young people having a mental health problem has increased by 50%, meaning that five children in a classroom of thirty are now likely to have a mental health problem. Some of these children will express their difficulties through disruption and demand; others will internalise them in silence. Our responsibility extends equally to both.

The emergence of Emotional AI offers promising new tools for detecting subtle cues that human observation may miss, providing an additional layer of support without supplanting the irreplaceable value of human relationship and professional judgement. 

AI can provide instant, personalised feedback based on emotional analysis, thereby creating a learning environment that is more attuned to students' emotional wellbeing. This comprehensive approach significantly contributes to students' holistic development, enhancing their ability to manage emotions, build positive relationships, and improve their academic performance.

Yet technology alone cannot resolve the fundamental challenge. What is ultimately required is a cultural shift within education—one that recognises silence not as compliance but as potential communication, withdrawal not as undemanding but as potentially concerning, and the absence of difficulty not as the absence of need. Every child deserves to be seen, understood, and supported. For the quiet sufferer, this begins with our willingness to look more carefully, listen more attentively, and reach out more intentionally.

Reflections and Next Steps

The identification of internalised distress in primary years demands both vigilance and sensitivity. As professionals committed to the wellbeing of children, we must continually refine our observational skills, embrace evidence-informed technologies thoughtfully, and maintain the relational foundations upon which genuine support depends.

We would welcome your reflections on this topic. How does your setting approach the identification of withdrawn or internalising children? What challenges have you encountered, and what strategies have proven effective? Please share your perspectives in the comments section below.