As an Educational Institution Executive, you would like to improve learner engagement, create personalised and adaptive learning environments and better understand learner journey and motivation. You want to offer flexible learning models that combine offline and online formats to expand your audience. You also want to create an inclusive and motivating environment that fosters engagement, trust, and meaningful learning. To improve processes, you want to analyse data and assess student performance faster and more easily.
As an IT officer in educational institutions, you want to secure academic records, student portals, and online databases, implement comprehensive cybersecurity measures to protect against cyberattacks.
Traditional educational approaches do not take into account the unique needs and interests of each student, especially in large classes. For example, students with different learning paces may feel excluded or undervalued. Similarly, teachers feel that they cannot respond to the needs of every student in large classes.
AI is a trend that is making its way into the education industry. However, anyone can access ChatGPT and other generative AI tools that have the potential to change the way businesses compete and operate, but it also creates new risks that cannot be addressed through conventional controls. When organisations integrate AI models and tools from third-party vendors, they also ingest large datasets that are used to train these AI models. Users may access sensitive data in other people's AI models, potentially creating regulatory, commercial and reputational consequences for the organisation. AI models and applications require constant monitoring. Specialised risk management processes should be integrated into AI model operations (ModelOps) to ensure AI interoperability, fairness and ethics.
Traditional education often lacks systematic attention to students' emotions, which can affect their learning and cause stress. Students experience stress due to the high volume of academic tasks and pressure.
Some groups of people may find it difficult to access regular offline learning, leading to inequalities in access to education. According to UNICEF, a third of children worldwide have not had access to online learning due to lack of the necessary technology or internet connection.
Traditional educational technologies, such as learning management systems (LMS) and massive open online courses (MOOCs), have revolutionised teaching and learning by providing increased access to academic resources and introducing innovative teaching methods. However, some of the core responsibilities of teachers, such as personalised motivation, individual feedback and individualised curriculum adaptation, are not fully replaced by these new technologies. This can lead to a teacher capacity issue, resulting in a shortage of teaching staff capable of providing highly informative and competency-based feedback on a large scale.
Growing cybercrime in school systems can threaten the confidentiality and privacy of student and teacher data. According to cyber police, the number of cyber attacks on school networks has doubled over the past two years.
Schools may lack the necessary insight into student performance and engagement to provide to parents, making it difficult to identify areas for improvement. Without data-driven decisions, resource allocation may not be optimised. Without data, it is difficult to understand learning processes, the impact of pedagogies, curriculum development, and the improvement of learning over time.
Many education systems are struggling with poor quality teaching and an insufficient number of teachers. Traditional coursework often fails to engage students effectively. Students often find it difficult to remember what they have learned in a traditional learning environment. Traditional education often fails to connect lessons to real-world problems and applications.
We can help build and integrate an innovative solution to enhance and streamline management processes of your educational institution. Leveraging technologies such as artificial intelligence, machine learning, and data analytics, we can develop advanced personalized and adaptive learning environments. Collaborating with us can empower educators and institutions to harness the power of AI, real-time data analysis, and personalized learning experiences, ensuring optimal engagement and achievement for every learner.
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We’ve collaborated on the project with Computools, which has been a great experience. Been working with one of the developers, who was really skilful and friendly. High professionalism and great accountability in all the tasks that he’s been working on. Really happy with the service.
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Computools was selected through an RFP process. They were shortlisted and selected from between 5 other suppliers. Computools has worked thoroughly and timely to solve all security issues and launch as agreed. Their expertise is impressive.