
Lesson 4 of a full T Level Digital Software Development Problem Solving scheme of work, covering spec point 1.1 Computational Thinking — the benefits and drawbacks of decomposition, pattern recognition, abstraction and algorithmic design. Builds on Lessons 1–3.
This is a complete, ready-to-teach lesson: a 12-slide PowerPoint (an “Only One Tool?” hook, direct teaching giving one benefit and one drawback for each of the four components — each tied back to a scenario from earlier lessons — a guided card-match task, independent analysis of which component’s drawback poses the biggest risk across three new scenarios, a mark-schemed AO3a exam question on a bank fraud-detection system, and a plenary exit ticket), a detailed lesson plan using a standard Content Area 1 template, and a matching practice worksheet.
Students will be able to state a benefit and drawback for each computational thinking component, explain why a specific benefit or drawback applies in context, and analyse which component’s drawback is most likely to cause a problem in a given scenario — a key AO3 analysis skill for Paper 1.
Perfect for T Level Digital Software Development (Core Component, Problem Solving) teachers looking for a detailed, exam-focused lesson that builds AO3 analysis skills around computational thinking. Part of a growing 20-lesson full scheme of work — see my shop for Lessons 1–3 (decomposition, pattern recognition, abstraction) and Lesson 5 (how the four components interrelate), available individually or as a discounted bundle.
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