Reframing AI for Educators
Foundations: why context is the whole game
Most educators use AI for two things
Drafting an email. Or a fancier Google search. Both are useful. Both are about 5% of what AI can do for you.
"Do more with less" in schools is sold as a staffing problem. It is not. It is a repetitive-work problem: the same kinds of drafts, plans, and write-ups, redone from a blank page over and over. That is exactly the work AI is built to absorb.
By the end of this track you will have AI helping with the heavy lifting on both sides of the building: a principal rolling out PD and writing evaluations, and a 7th-grade teacher planning a unit and turning evidence into feedback.
The frame
AI is a genius with no common sense, context, or judgment. The educator supplies all three.
If you treat it like a search engine, you get search-engine answers. If you treat it like a smart colleague who needs your context, your examples, and your standards before they can help, you get a colleague. The same move works for a teacher planning a lesson and an administrator drafting a PD plan: you bring the judgment, AI brings the speed.
Where your week bleeds out
Across schools, the time disappears into seven repeatable jobs. Some hit teachers, some hit administrators, and some hit both, but every one of them is drafting work AI can carry once you feed it your context.
- Grading and written feedback (Teacher): the same comments, rewritten for the 30th time, late at night.
- Lesson and unit planning (Teacher): building a unit from scratch when last year's is almost right.
- Parent and family communication (Both): emails, newsletters, and the hard call you keep rehearsing.
- IEP, report-card, and progress comments (Teacher): turning evidence into careful, compliant language, one student at a time.
- Professional development plans (Admin): a PD rollout that has to land with skeptical staff.
- Teacher evaluations (Admin): mapping a stack of walkthrough notes to a rubric, fairly, every cycle.
- Event and operations logistics (Admin): the master schedule, graduation, family night, a hundred moving parts.
Three places AI earns its keep
Those seven jobs sort into three clusters. Both tracks live in all three.
- Planning and design. Lessons, units, and courses for teachers. PD plans and rollouts for administrators.
- Assessment, evaluation, and feedback. Student feedback, report-card and IEP comments for teachers. Teacher evaluations for administrators.
- Communication and operations. Family and staff communication for everyone. Event logistics and scheduling on the operations side.
Five things to hold onto
- Not a chatbot. It is not a friendly assistant making small talk. It is a workflow tool that gets stronger every time you give it more context.
- Not a better Google. Search retrieves what already exists. AI generates new artifacts based on what you give it. Different tool, whether it is Gemini, NotebookLM, or Claude.
- Output quality equals input quality. A vague prompt produces vague output. Context, examples, constraints, and standards turn it into a usable tool.
- You stay in charge. Judgment, decision-making, confidentiality, and the final product are yours. AI does not sign your name or your evaluations.
- Stop chasing the perfect prompt. Prompts are the surface. The deeper move is building context documents and repeatable workflows, so AI shows up to every conversation already knowing your role, your students or staff, and what good looks like.