01
Make an algorithm visible
Prepare a short trace exercise or an unplugged sequence before introducing code. Choose examples suited to your learners and run generated code before teaching it.
Solutions / Computer science
From “what happens?” to “why does it work?”
Build computational thinking with clear examples and purposeful challenges. Create trace exercises, debugging tasks and extensions that focus on reasoning as well as working code.
See SparkSchool in action
A lesson with a clear thread.
Begin with the idea or skill your learners should take away. Connect an opening question, an explanation, a chance to practise and a short check for understanding. SparkSchool helps you prepare the pieces while you decide which examples will resonate with your class.
AI-generated imagery illustrates these learning settings.
Bring the idea to life.
02
Debug with a purpose
Offer hints for tracing variables, core debugging challenges and an extension that changes the input or requirement. Ask learners to explain the cause of the bug.
03
Assess the thinking behind the program
Use test cases and explanation prompts alongside the final output. Revisit a missing concept such as iteration or conditionals, then apply it to a new problem.
Let learners show their thinking.
Combine a clear starting point with purposeful practice and an opportunity to apply the concept. Adapt the support as you learn more about your class.
- Begin
Trace a simple sequence step by step
- Develop
Find and explain a bug
- Apply
Adapt the algorithm to a new input
Useful support. Connected to your work.
See the workflow, then open a block for practical examples and next steps.
Lesson plannerLesson planner01
Make an algorithm visible
Prepare a short trace exercise or an unplugged sequence before introducing code. Choose examples suited to your learners and run generated code before teaching it.
See how it worksLearning pathways02
Debug with a purpose
Offer hints for tracing variables, core debugging challenges and an extension that changes the input or requirement. Ask learners to explain the cause of the bug.
See how it worksAssessment studio03
Assess the thinking behind the program
Use test cases and explanation prompts alongside the final output. Revisit a missing concept such as iteration or conditionals, then apply it to a new problem.
See how it worksComputer science
Time to reflect
- 01Trace a simple sequence step by step
- 02Find and explain a bug
- 03Adapt the algorithm to a new input
You are part of the picture, too.
Preparation is one part of a teaching life. The wellbeing zone makes space for EQ, ongoing learning and mindful pauses, with practical activities to help you reflect and refocus.
Visit the teacher wellbeing zoneA few things you might be wondering.
Can I change what the AI creates?
Yes. Treat generated resources as drafts. Adjust the examples, language, pace and level of challenge before using them with learners.
Where does Sparkie fit in?
Sparkie, currently known as Spark Buddy, helps you navigate teaching tasks, draft resources and explore available class insights. The Chrome extension adds teaching tools alongside Google Docs, Slides and Forms.
Your next teaching idea deserves a little spark.
Plan your first step with us