This resource is part of the SAPS Careers in Science series, a set of resources to support science teachers in integrating STEM careers information with practical activities. This resource is aimed at KS3 / ages 11-14.
In this investigation, students learn about carrying out a fair test, by running a blind trial of organic and non-organic herbs to see if they can identify any differences in taste. The investigation is put into a STEM careers context through an initial case study of James Seymour, a scientist who works as a Product Manager for a company growing herbs for major shops and supermarkets
Students consider how they can carry out a fair test into the taste of plants produced under different conditions. They compare plant samples for their taste and record their results, using a blind trial. The worksheet can be used for a brainstorm and short discussion or for a longer lead in to a lengthier class discussion of those factors which affect the saleability and profitability of crops.
This resource includes full teachers' notes, foundation, higher, extension and plenary activities, a case study, a students' worksheet and technical notes for the practical.
- Starter activity: Career case study and questions
- Foundation activity: Investigation: carrying out a fair test, through a blind trial of different plants
- Higher activity: Thanet Earth
- Extension activity: Plants grown in different conditions
- Plenary activity: Growing crops to sell
Pupils should have opportunities to appreciate that science has a vital role in career opportunities and recognise the importance of understanding the applications of scientific knowledge, understanding and skills outside the classroom.
How science works
Pupils should be taught to:
- collect data from primary and secondary sources, including using ICT sources and tools
- evaluate methods of collection of data and consider their validity and reliability as evidence
Experimental and investigative science
- design a fair test
- understand the need, where appropriate, to repeat observations or measurements
- interpret and evaluate results using, where appropriate, simple calculations.