What the AI Moment Means for Good TeachingOnline Teaching SeminarVirtual

Machines took over much of our physical work long ago: production, transportation, and more. Now, machines are beginning to adopt knowledge work, and even social and emotional work that we've assumed was ours alone. This strand gives teachers space to think through what this shift means for learning, for the teaching profession, and for a life well lived. Neither AI boosting or dooming, these sessions offer clear-eyed frames for thinking about AI, and they create space to examine what these tools genuinely can and cannot do, so we can make deliberate rather than reactive choices. The five sessions each enter the question from a different angle: purpose, mechanics, capabilities, humanity, and ethics.*

Session A: How or when might AI serve the purpose of education?

We start with first principles: how our personal and institutional teaching philosophies shape what we believe school is for, and how that sense of purpose in turn shapes how we see AI. The session offers frameworks and reflective prompts for surfacing those underlying commitments, then narrows toward the concrete choices teachers make in their own classrooms.

Session B: Where did AI come from, how does it actually work, what is it now, and where is it going?

This session builds enough of a working understanding of what AI is and how it operates that teachers can reason about it rather than guess. It combines a grounding in the technology's current and projected arcs with frameworks for thinking about how any new technology settles into a society, closing on where teachers see pedagogical possibility.

Session C: How do we move past the binary of "AI is bad" or "AI is good" to see what these tools can really do, and how that might or might not serve teaching and learning?

Here we look at the distinctive shape of machine capability and where its strengths and blind spots actually lie. The session gives teachers a more precise vocabulary for matching what these tools, and technology more generally, can do to support teaching and learning.

Session D: How can our teaching and learning in an AI world deepen our commitment to what makes us human?

As machines take on more, they place human capacities into sharper relief. This session explores the traits and forms of meaning that technology exposes as distinctly ours, drawing on frameworks for creativity, relationship, and trust, and asks how our teaching might lean more fully into them.

Session E: How can we engage ourselves and our students with AI responsibly?

We close by building ethical literacy: understanding AI's real effects on people and the world. The session surveys the landscape of concerns and gives teachers a structured way to weigh them across the individual, institutional, and societal levels, and to decide where the greatest responsibility sits.

*This five-session series is designed to be experienced as a cohesive whole. Teachers are therefore encouraged though not required to attend all five sessions.

X credits for member schools

CTLE credit available

Session limited to 35 teachers