Artificial intelligence may provoke uncertainty, hesitation, and debate in schools — especially when connected to instructional quality and teacher evaluation. Yet for all the fears that AI might displace human judgment, the emerging reality is quite different: used with intention, AI has the potential to make instructional coaching and evaluation more fair, more actionable, and more supportive for teachers.

This webinar explores how AI can streamline the most time-consuming parts of evaluation — gathering evidence, aligning it to rubric language, and documenting observations — so leaders can focus on the human work that improves instruction. Rather than replacing professional expertise, the technology serves as an accelerator: reducing administrative burden, making scoring more consistent, and strengthening the bridge between feedback and growth.

For educators who coach and evaluate teachers, the session offers a grounded look at what AI can (and cannot) do today. It surfaces practical considerations about trust, transparency, and implementation, while illustrating how earlier adopters are using these tools to support higher-frequency classroom visits and more meaningful coaching conversations.

In this webinar, you’ll learn:

• How AI can reduce paperwork and improve scoring consistency
• How more efficient evaluation cycles can support better coaching and feedback
• How districts are balancing risks, policies, and safeguards to protect human judgment