✦ AI SCHOOL · TEACHING SUPPORT

AI lesson planning: AI drafts, the teacher decides

AI School’s teacher workspace uses the school’s own course materials and learning objectives to draft lesson plans, slide outlines, practice and classroom activities. A teacher reviews and edits them before they reach a classroom or an assignment, and what happens in class — polls, quick-response rounds, random name picks, short quizzes — flows back into learning insight for the next lesson.

The short version

🌐 About language: This page introduces AI School in English. AI School is currently delivered in Chinese; if your school works mainly in English or another language, say so in your enquiry and we will tell you plainly what is and is not available.

How a lesson gets planned in AI School

This is the teaching loop, one of AI School’s four loops. It starts from course materials, passes through teacher review, goes into the classroom and comes back as learning insight.

StepWhoWhat you get
Set the inputsTeacher or subject teamChoose the course, unit and learning objectives, drawing on the school’s existing course materials
DraftAIDrafts of the lesson plan, slide outline, practice and classroom activities, showing which materials were used
Review and editTeacherCut, rewrite and add what you know about this class; nothing is published until you confirm
TeachTeacher and studentsTeach and set homework; run polls, quick-response rounds, random name picks, short quizzes or group tasks
CollectSystem summarises, teacher reviewsClassroom and homework records are summarised into learning insight with suggested next steps

Where AI helps, and what stays with the teacher

Lesson plan drafts

The stages of a lesson are organised into a first draft from the course objectives and unit content. Editing a draft takes far less time than starting from an empty document.

Slide outlines and practice

One set of objectives produces both a slide outline and matching practice, so what is taught and what is practised line up, and setting homework no longer means hunting for questions.

Classroom activities

Polls, quick-response rounds, random name picks, short quizzes and group tasks get more students speaking and doing, and every interaction leaves a record you can look back at.

The teacher’s judgment

What this class already knows, which part needs to go slower, which question will not suit these students — only the teacher knows that. AI gives you a starting point, not a conclusion.

Five questions to ask when evaluating an AI lesson planning tool

AI School’s planning workflow is built around these five points: the school’s materials as input, drafts that show their sources, teacher sign-off before use, classroom records feeding learning insight, and data visible by role.

Lesson planning is usually the first thing a school uses

In AI School’s staged rollout, lesson planning belongs to stage two, teacher productivity. Once stage one has set up the school’s admin console, accounts, classes and course materials, teachers in the pilot class start using AI to plan lessons, create practice, mark homework and run classroom activities; confirmed content and classroom observations feed into learning reports.

The safest start is one willing teacher and one course. Use it on familiar lessons for a few weeks, check whether the drafts really save time and whether classroom interaction produces more useful records, then decide whether to extend to more subjects and classes.

This page describes what AI School does and how we work with schools; which modules are switched on is agreed with each school as part of its delivery scope.

Questions schools ask

Can teachers use AI-generated lesson plans as they are?

We advise against it, and the system is not designed for it. Lesson plans, practice and classroom activities arrive as drafts that show their sources and where they apply, and they enter a course or an assignment only after a teacher confirms or edits them.

Which materials does AI lesson planning draw on?

Mainly the course materials the school has authorised and the learning objectives the teacher sets. Exactly which materials can be connected depends on the school’s configuration and delivery scope.

What kinds of classroom interaction are there?

Polls, quick-response rounds, random name picks, short quizzes and group tasks. Interaction records feed into learning insight, so the teacher can decide how to adjust the next lesson.

What if teachers are new to AI tools?

AI School builds on the school’s existing courses and timetable and does not ask teachers to change how they teach first. It usually starts with one pilot class or course, so teachers try it on lessons they know well and expand only once it proves useful.

More on AI School

Want to try it in your school?

Tell us the size of your school and which year group or subject you would like to start with. We begin with one class and agree the scope, materials and sign-off criteria for the first stage together.