




ST1: Lesson 1: Connected Wildlife Surveillance
Can technology protect wildlife before it’s too late?
This KS3 / lower secondary computing lesson asks students to step into the role of system analysts working on a real-time wildlife surveillance network. They investigate how motion sensors trigger automatic responses, how the CPU makes decisions based on input data, and how cloud upload completes the system. Learners examine artefacts from a camera trap project and model the end-to-end data flow, using structured prompts to identify system components and propose improvements.
Through this, students uncover:
• How input and output devices function in the field
• What the CPU actually does in a reactive system
• How cloud-based systems manage real-time responses
• The concept of automated decision-making in embedded systems
• Why data storage and transmission matter in live environmental monitoring
Files download instantly.
Pairs well with
A next-gen lesson that keeps your curriculum aligned with emerging trends in computer science
Built for formal scrutiny — structured around intent, implementation, and impact
Includes a full inspection-grade lesson plan
Packed with high-standard classroom activities — expertly designed and immediately classroom-ready
Includes full slide-by-slide speaker notes to support confident and consistent delivery
Keeps your curriculum sharp and future-facing — with topics that reflect today’s most relevant computing advances

ST1: Lesson 1: Connected Wildlife Surveillance
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Whats included:
Your digital download for this lesson contains 5 professionally organised folders, each containing matched teaching materials, student tasks, model answers, and full adaptations.
The lesson can be taught directly from the fully scripted presentation for confident, inspection-ready delivery.
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Classroom Adaption Guide