For classroom teachers
Build confidence one real task at a time, then bring it together in a portfolio.
Spark Academy is practical professional learning for teachers and school leaders. Understand how AI works, practise with your own curriculum and classes, and build the review habits that keep your professional judgement at the centre.

Short, practical topics built around the work you already do. Every idea is something you can try with next week’s lesson.
Every topic starts from something teachers already do: planning a lesson, writing a quiz, supporting a learner who is stuck. You practise on next week’s work, not a made-up example.
Bring your curriculum, grade, subject and classroom. AI is only useful when it understands what you teach and who you teach, so that context comes first in every activity.
AI produces drafts. Teachers decide what is accurate, appropriate and worth using. The Academy builds the habit of reviewing, adapting and sometimes rejecting what AI suggests.
Professional learning sticks when it is discussed. Topics include prompts to compare drafts, share adaptations and agree common expectations with the people you teach with.
Each topic follows the same five-step cycle, so learning moves from an idea to a reviewed resource to a lesson you have actually taught.
Start with one real teaching task and the idea behind it.
Practise with your own grade, curriculum and learners.
Check the draft for accuracy, fit and suitability.
Use the reviewed resource with your class.
Notice what worked and decide what to change next time.
Six topics that cover the foundations, the core of classroom practice, responsible use and school leadership.
How generative AI produces text, where it goes wrong and how to write a teaching prompt that includes the context a good draft needs.
Turn one curriculum outcome into a connected lesson: objective, explanation, activity, practice and exit ticket.
Map questions to objectives, read misconceptions in student answers and plan focused reteaching and reassessment.
Practical habits for checking accuracy and bias, protecting student information and being open with students and families.
Plan a focused pilot, set expectations for review and data handling, support teachers and review evidence before scaling.
A structured programme that brings the Academy topics together and asks you to show thoughtful AI practice through a reviewed classroom portfolio.
Suggested sequences. Start wherever is most useful, but AI foundations and responsible AI help everyone.
Build confidence one real task at a time, then bring it together in a portfolio.
Understand the tools, set shared expectations and support your staff through a focused pilot.
The same topics work in different settings. Tell us what suits you and we will help you plan it.
Read a topic, try the practice task with your next lesson and keep your notes. A good way to start before involving colleagues.
Work through a topic together, compare the drafts you each generate and agree what good review looks like in your subject.
A planned sequence of sessions for a group of teachers, with classroom tasks between sessions and time for reflection.
A school cohort works best when it is connected to real priorities. We plan sessions around your curriculum, timetable and the workflows your teachers want to improve, with time between sessions to try ideas in class.
How schools adopt SparkSchoolChoose the teachers, subjects and teaching workflows that matter most this term.
Build a shared understanding of AI, review and responsible use across the group.
Teachers try tasks with their own classes and bring drafts and reflections back to discuss.
Look at what worked, agree shared expectations and decide on next steps, including certification.
Start the AI foundations topic now, or talk to the team about sessions for you or your school.