AI & Inclusion
Who benefits from educational AI, and who might be left out? I examine research on cultural representation, accessibility, special education, and the barriers learners encounter when new technologies enter education.
The collection invites you to look beyond claims of personalization and ask whether an approach supports participation, belonging, and meaningful learning in your own setting.
What you can learn from this research
Use these questions to find a starting point. Each theme connects an idea with a practical question for your work.
Culture and belonging
Whose experiences are reflected in AI-generated material?
Examine examples, language, and perspectives with students. Consider what is missing and how their cultural knowledge can shape the material.
Access and participation
Can every learner take part on fair terms?
Look at device access, language, accessibility, and support needs before building an activity around AI. Plan alternatives that preserve the learning goal.
Support for diverse learners
What makes a tool useful for a particular learner?
Explore special education research with attention to individual needs, classroom context, and the difference between promising features and demonstrated support.
Human relationships
What can personalization miss about a student?
Consider where a teacher’s knowledge of learners and communities remains essential. Invite student perspectives into decisions about AI use.
Explore the research and resources
Browse my reviews and resources below to explore these ideas further and follow the sources behind them.







