Pedagogy of Inclusive AI

Designing AI-Supported Learning

It is important to recognise that AI tools can widen or narrow inequalities depending on how they are introduced and supported (Heil et al, 2025). Not all students arrive with the same level of digital confidence, access to devices, or familiarity with academic norms around AI. An inclusive approach therefore focuses on creating equitable entry points: offering clear guidance on what AI can and cannot do, modelling responsible use, and providing scaffolded opportunities to practise. When educators explain expectations transparently and show examples of effective AI‑supported work, students who may feel uncertain or under‑confident gain a clearer sense of how to participate. This reduces the risk that AI becomes an advantage only for those who already possess strong digital literacy or cultural capital (Cai, Msafiri and Kangwa, 2025). Inclusive AI pedagogy also emphasises accessibility, ensuring that tools are compatible with assistive technologies, that instructions are available in multiple formats, and that students have time to explore AI safely before being assessed on tasks where AI literacy matters.

Supporting Critical, Ethical, and Reflective Engagement with AI

Inclusive AI teaching is not simply about giving students access to tools; it is about helping them develop the critical awareness needed to use AI thoughtfully and ethically (Dakan and Feller, 2025). This involves creating space for dialogue about bias, transparency, authorship, and the limitations of AI‑generated content. Students benefit when educators encourage them to question outputs, compare AI responses with disciplinary standards, and reflect on how AI might shape their thinking. Importantly, inclusive AI pedagogy avoids assuming that all students will use AI in the same way. Instead, it recognises diverse learning needs and offers flexible pathways, from low‑stakes experimentation to structured support, ensuring that AI becomes a tool for empowerment rather than exclusion. Through this approach, AI becomes not a shortcut, but a catalyst for deeper learning, critical engagement, and equitable participation.

For further guidance, see the ADC Artificial Intelligence pagesLink opens in a new window.