2. Key organisational factors
2.3. Adaptation to end users
AI and education systems must be accessible, understandable, and useful to all students, including those with different educational needs and varying levels of digital literacy. The right to equal access to education implies that artificial intelligence must not become a barrier, but rather a tool that facilitates learning and participation.
To achieve this, institutions should ensure:
- Accessibility and Intuitive Interface
- Language Adaptation, Levels of Complexity, and Users’ Digital Literacy
- Learn the testing process, scoring, and required information.
Understanding what is needed to improve your intelligence allows you to allocate the necessary time and resources to meet your personal needs. This creates a strong connection between these two aspects and has the potential to motivate individuals.
Foundation:
London Metropolitan University has developed an AI-based approach to teaching with the aim of increasing accessibility and inclusion in higher education. Rather than a one-size-fits-all solution, the university is developing tools and pedagogical practices tailored to different levels of digital literacy and student needs, ensuring that technology remains accessible to all. According to the QAA-e report, AI is also being used to increase access to digital skills and to promote education for sustainable development. Students are involved in testing, evaluating, and adapting interfaces, and the feedback they provide directly shapes future versions of teaching tools.
This approach illustrates how AI can be applied in a way that does not widen the digital divide, but rather reduces it. Results show higher engagement and achievement among students who participated in AI-based programmes, particularly those who have previously been underrepresented in digital learning. Such practices demonstrate how the responsible use of AI can both improve the quality of education and contribute to the creation of a sustainable, inclusive academic environment.
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