AI at School: Research Applied to a Comprehensive Inclusion

This Student Research Hub is dedicated to empowering pre-service teachers with the knowledge, tools, and critical perspectives needed to integrate Artificial Intelligence (AI) into inclusive educational practices. As AI technologies increasingly shape the classroom experience, understanding their potential—and their limitations—is essential for fostering equitable learning environments.

The hub explores how AI can support diverse learners, including those with disabilities, language barriers, and socio-economic challenges. It bridges cutting-edge research with practical applications, offering case studies, ethical frameworks, and pedagogical strategies that promote comprehensive inclusion. Topics include adaptive learning systems, bias in AI algorithms, personalized education, and the role of teacher agency in tech-mediated instruction.

Through hands-on workshops, collaborative projects, and curated resources, pre-service teachers will engage with real-world scenarios and reflect on how AI can be harnessed to support

all students. The hub also encourages critical inquiry into the social implications of AI in education, fostering a mindset of responsible innovation.

General learning outcomes

• Find four AI tools that support the implementation of inclusive pedagogies in a classroom.
• Summarise two of the most up-to-date ethical approaches to the use of AI in schools.
• Identify the SDGs that most closely align with an ethical and inclusive use of AI at schools.
• Design a learning situation where AI is used that fosters inclusive educational practices.

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