Hayati Educates

Everything you need to know about Microsoft copilot for education!

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AI Integration Tips for Teachers!

In this guide, I share four practical tips for integrating AI into your teaching, collected from my own classroom experience, from years of writing about educational technology, and from the research literature on AI in education.

The argument running through the whole guide is that pedagogy has to come first. Your learning goals, the evidence you need from students, the activities that get them there.

That's the logic of backward design, and it applies to AI integration the same way it applies to any other instructional decision. Wiggins and McTighe (2005) laid this out years ago, and it still holds.

AI belongs in the planning sequence after goals and evidence are already clear.

The guide covers four areas. It opens with building your AI pedagogy, with a self-assessment rubric you can use to see where you are and where you want to grow.

From there it moves to co-creating a classroom AI agreement with your students, because an agreement students helped shape works better than a policy handed down.

The third section tackles assessment, which I think is a validity problem before it's a cheating problem, and it includes strategies and a set of design questions to pressure-test your assignments.

The final section gives you an evaluation rubric for AI tools, built from frameworks by UNESCO, the OECD, aiEDU, and ISTE.

Every tip comes with a table, rubric, or template you can pick up and adapt. I wanted this to be something you come back to, not something you read once and shelve.

The guide is free and licensed under Creative Commons.

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References

Wiggins, G., & McTighe, J. (2005) Understanding by design (2nd ed.). Alexandria, VA: association for supervision and curriculum development ASCD