Barriers and Enablers to ICT Systems Adoption for ADHD Identification in Ugandan Government Schools

In schools across the globe, children who cannot sit still, who interrupt lessons, or who seem unable to focus are often labeled as disobedient or struggling. In many parts of the world, including Uganda, these behaviors are frequently attributed to poor parenting, spiritual trouble, or a lack of will. However, a significant number of these children may actually have attention deficit hyperactivity disorder, a common neurodevelopmental condition that affects how the brain manages attention and impulse control. Identifying this condition early is crucial, as it allows teachers to adjust their methods and provide support rather than punishment. Yet, in Uganda's government schools, there is no standard way to spot these children, no official policy recognizing the condition, and no training for teachers to understand it. While the country is investing heavily in bringing computers and internet access to classrooms, this technology is not currently being used to help identify students with this specific learning need.

This research explores why Ugandan government schools have not adopted digital tools to identify children with attention deficit hyperactivity disorder, despite the growing presence of technology in education. The study focuses on the gap between having the hardware, such as computers and internet connections, and having the knowledge and systems to use that hardware for a specific purpose. It examines the real-world barriers that prevent schools from recognizing this condition, ranging from a lack of shared vocabulary to deep-seated cultural beliefs. The findings suggest that simply providing more technology is not enough; without a shared understanding of what the condition is, teachers cannot see the value in a tool designed to find it. The research proposes a new, flexible framework that allows schools to start identifying these children using whatever resources they currently have, whether that is a simple paper checklist or a sophisticated digital system.

The study took place in Uganda, a country where government schools serve over ten million learners. The education system is stretched thin, with average class sizes exceeding fifty students per teacher. In this environment, children showing signs of attention deficit hyperactivity disorder are often disciplined rather than supported. The researcher visited five government schools in the Kampala and Wakiso districts to understand the situation. Three of these schools allowed full access for interviews and observations, while two others, including a teacher training college and a university faculty specializing in special needs, refused entry or failed to respond to requests. These refusals were not treated as missing data but as evidence of the systemic barriers that exist at the highest levels of the education system.

Inside the schools that were visited, the researcher found a striking disconnect between the availability of technology and the ability to use it for special needs. One secondary school had a strong infrastructure, with a large computer lab, fiber internet, and digital record-keeping systems. However, when it came to supporting students with additional needs, this school scored just as low as a primary school with almost no technology. The reason was that the school's systems for recognizing special needs were built only for conditions that are visible, such as physical disabilities or slow learning, which are registered during national exams. Attention deficit hyperactivity disorder, which must be identified through behavior rather than sight, fell outside these existing systems. No matter how many computers a school had, the teachers did not have a way to record or track these students because the official structures did not recognize the condition.

A major obstacle found in the study was a lack of shared language. None of the teachers interviewed used the term attention deficit hyperactivity disorder unless prompted. Instead, they used words like "stubborn," "big-headed," or "brain development problem" to describe the same behaviors. Because the teachers did not have a shared name for the condition, they could not see the value in a tool designed to identify it. If a teacher believes a child is simply being disobedient, a digital checklist for attention deficit hyperactivity disorder will not make sense to them. This lack of vocabulary acts as a barrier before any discussion about technology can even begin. The study suggests that this is a fundamental issue: technology cannot solve a problem if the people meant to use it do not recognize that the problem exists.

The way schools responded to these children varied widely, even within the same institution. In one school, one teacher might publicly shame a student, another might punish the whole class to protect the individual, and a third might simply ignore the behavior. There was no consistent policy or approach. In another school, a teacher had developed a personal method of giving extra work to a student who finished class tasks quickly, effectively managing the behavior without knowing the underlying cause. These individual solutions showed that teachers were trying to cope, but they were doing so without a shared understanding or a formal system to guide them. The study found that while school leaders often supported the idea of using technology, this support did not translate into consistent practices among the staff.

Trust in technology was also conditional. Teachers were willing to use digital tools, but only if the tools matched their current skills and resources. In a school with strong internet and computers, teachers feared they lacked the skills to use complex software and suggested that a simple phone application would be more practical. In a school with very few resources, teachers preferred a paper-based checklist because they had no computers to use. The research concluded that a single, one-size-fits-all digital solution would fail. A framework that only offers digital tools would leave behind schools with no computers, while a paper-only approach would waste the potential of schools that already have strong infrastructure.

To address these challenges, the researcher proposed a new framework called TIFAIS, which stands for the Technology-Driven Institutional Framework for ADHD Awareness, Identification and Student Support. This framework is designed to be flexible, allowing any school to start where they are. It is organized into three levels based on the school's current readiness. The first level is for schools with very low resources, using printed materials and paper checklists that require no electricity or internet. The second level is for schools with some technology, using offline digital tools on shared devices. The third level is for schools with full digital capacity, using networked systems for screening and monitoring. The framework also includes five key areas that schools must address: awareness and knowledge, technology readiness, policy, teacher training, and student support systems.

The study also highlighted a barrier that exists outside the school walls. Teachers noted that even if they identified a child, they might face resistance from parents and the community. In Uganda, as in many places, there is a fear of stigma associated with health conditions, similar to the stigma surrounding HIV. Parents might hide a child's condition to avoid being judged by the community. This suggests that identifying the condition is only part of the solution; changing community attitudes and involving trusted figures like religious leaders will be necessary to ensure that families accept support. The research suggests that this community resistance is a separate dimension that must be addressed alongside the school-based efforts.

The findings of this study offer a clear path forward for policymakers and school leaders in Uganda and similar contexts. The research argues that investing in technology without first building awareness is ineffective. If teachers do not understand what attention deficit hyperactivity disorder is, they will not use the tools designed to find it. The study recommends that the government officially recognize the condition in national policy and include it in teacher training programs. It also suggests starting with low-cost, paper-based pilots in areas where the need is well-documented, allowing schools to build awareness before moving to more complex digital systems. By starting with what schools already have and building up from there, it is possible to create a system where no child is left behind simply because their school lacks the latest technology.

This research does not claim to have solved the problem of identifying attention deficit hyperactivity disorder in Uganda. Instead, it provides a practical map for how to begin. It shows that the barriers are real and interconnected, but they are not insurmountable. The key is to match the solution to the reality of the school, whether that reality involves a locked computer room or a single chalkboard. By acknowledging the lack of shared vocabulary and the disconnect between technology and special needs, the study offers a way to start the conversation and the work of identification, ensuring that the hundreds of thousands of children with this condition in Ugandan schools can finally be seen and supported.