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.

Teaching with AI book cover by Med Kharbach, PhD

MY BOOK · FOR EDUCATORS

Teaching with AI

Med Kharbach, PhD

Explore my practical guide to AI literacy, thoughtful lesson design, and ethical classroom use.

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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.

Explore culture and belonging →

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.

Explore access and participation →

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.

Explore support for diverse learners →

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 human relationships →

Explore the research and resources

Browse my reviews and resources below to explore these ideas further and follow the sources behind them.

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