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Section Title Primary information Description and Notes Suggested resources
Lesson Length The expected lesson length will be approximately one hour

Some variation possible.

Assessment Level 1

Students The lesson is suitable for KS3 and KS4 students Since this is a new specification, the lesson is suitable for Year 7 to 9 students and differentiated by outcome  
Overall Focus The focus for this entire block will be in developing a data collection project.  In this session, the focus is on recording the data that has been collected in order to help in analysing their material. Students should have some collected data now to collate and organise for analysis

Lesson Links: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39

Key words application, file format, portability, open source, proprietary, standard, SMART, error correction These words need to be reinforced throughout the series of lessons  

collect and record data

Evidence here will be student's own work and assessor observations  
Key Questions Some questions to get learners thinking about the topics Students will need to be complete their data collection and recording to begin collating What is the best way to organise various data so that it can be analysed?  What is the best format?  Does the format depend on the audience?
Learning Objectives
  • collate and organise their data
  • be able to organise based on set criteria
  • be able to discuss best practise in data collation

Students may need some assistance in how to organise the data and what types of structures will be useful.  They may need assistance in the categorisation of the collected data

If you are using the Learning Machine learning system, students can add their comments and material to this site as evidence of their growing understanding.  The site, if used consistently, will show progression via charts of activity and outcomes.
Teaching and Learning Elements
  • Overview of data collation
  • Introduction to data categorisation methods
  • Students can break into groups and work on planning their data collation
  • Class discussion and examples of their findings
  • Group or individual work on developing their own data organisation

Students will have a range of different types and amounts of data and will need some simple methods for putting it into a form that will be easier for the next task in looking for patterns and information.

Use some of the student's ideas and examples to flesh out a solid understanding before progressing

Question students about how and why they did what they did.  Check for understanding.


Lesson Structure Possible structure
  1. introduce how to think about categories to make data easier to manage
  2. take a detailed look at types of categories and structures
  3. group work to work on some of their own ideas about sorting data
  4. discuss what they have learned and what they can apply
  5. volunteers to share their work and explain how they came to their opinions
  6. highlight next week's focus and issue homework

Sort graphic

Depending on the type of input of data the students use, various ways can be introduced to show how to put some structure to the data so that it can be analysed efficiently and effectively.

A basic overview of sorting should be enough to get students going in the right direction.  They can work in groups to help each other and reinforce their understanding of their data and each other's data collected.


Homework Get students to write up their thoughts on hat they have learned so far as a portfolio or a blog Students can vary their homework depending on their level of understanding Get students to document their experience on their portfolio system for assessment


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