The cross-cutting capability strand of KS4 science. Designing experiments. Selecting and using equipment. Making measurements. Recording data accurately. Analysing and interpreting data (including using mathematical and statistical techniques). Drawing conclusions. Evaluating methods and data quality. Communicating scientific findings. Considering ethical and societal implications.
This strand is content-independent — it cuts across Biology, Chemistry, and Physics. AQA gives it explicit billing as the foundation of all scientific learning. Edexcel weaves it through every content area as “experimental skills.”
Tested by
- AQA GCSE Combined Science Trilogy — explicit “Working Scientifically” section, weighted at 15% of overall qualification mark across all three sciences
- Edexcel IGCSE Human Biology — Experimental skills woven through, with “Practical:” tasks marked in each content area
- Edexcel IGCSE Combined Science — same approach as Human Biology
No FS Science exists.
Why this is its own canonical strand
Science is not just content; it’s also a way of investigating. AQA’s decision to give Working Scientifically 15% of marks and explicit billing reflects the consensus that experimental and analytical capability is what distinguishes scientific learning from rote memorisation of facts.
For NEO learners working remotely, practical experimental skills are particularly worth flagging — they cannot be taught entirely through text and video. Practitioner-supported home experiments, virtual lab simulations (where used), and structured observation tasks all play a part. The Pearson Edexcel Human Biology spec explicitly lists practical investigations in Appendix 6 — a useful reference for designing the experimental component of NEO’s delivery.
Mastery descriptors
- emerging — follows a stated method; records observations with prompting
- developing — chooses appropriate equipment; records data systematically; identifies sources of error when prompted
- secure — designs experiments with reasonable controls; analyses data using appropriate techniques; evaluates method and data quality
- mastering — designs investigations from open questions; uses statistical reasoning; critically evaluates ethical and societal implications of findings