1.2 The Role of Artificial Intelligence in Shaping Inclusive Higher Education
Explore how artificial intelligence can support more inclusive teaching, learning, and student services in higher education. This unit examines how AI can reduce barriers—by improving accessibility, supporting diverse language and learning needs, and enhancing responsiveness—while emphasising the importance of careful oversight to prevent bias, protect transparency, and ensure fair treatment of all students.
👉 Start with the video for a quick overview.
👉 Now, read the document to explore the topic in more depth.
Download PDF👉 Finish with the task to reflect and apply what you’ve learned.
Choose one area in your institution where AI could realistically support inclusion. Examples could include accessible learning materials, early identification of students who need support, multilingual communication, support for students with disabilities, or streamlining administrative processes that currently create barriers. Describe the use case in plain terms: what would the AI do, who would benefit, and what change would it bring to the student or staff experience? Then identify one serious risk linked to this use case. The risk could relate to bias, privacy, lack of transparency, over reliance on automated recommendations, or unequal access to the tool itself. Finally, suggest one safeguard that should be in place before adoption. This could be a policy, a review process, staff training, human oversight, quality checks, or a clear way for students to question or appeal AI supported decisions. (Write up to 200–300 words.)
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