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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 and the students need some assistance in their data collection. Students who are able can get on with their system to collect the required data, others will need some assistance in ways to do this.

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  
Assessment

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 gathering their data now and making sure that the data is of a good quality. How do you make sure the data is correct?  How do you build into the system a way to check the integrity of the data?  What do you do with bad data if you detect it?  How can you avoid this problem though your design?
Learning Objectives
  • Implement their data collection task
  • be able to test if the data collection is valid
  • be able to record the data in an appropriate format
  • be able to discuss and use error correction methods

Students should have chosen a data collection project, but some might still need help in how to frame the project. What are some of the methods needed for them to work through the project and get something out of it.

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 collection designs
  • Introduction to error correction methods
  • Students can break into groups and work on planning their data checking
  • Class discussion and examples of their findings
  • Group or individual work on developing their own project

Students need some idea about what errors to be looking for and possibly some way of eliminating them at the inut stage.  The methods to achieve this will depend on the type of data.  If the data is text based, then careful question design will help here, making sure questions are clearn and unambiguous.  If it is numerical check, get them to build in checks such as looking for @ elements in email data, or patterns for something like a post card.  If audio input, make sure the recording is not over saturated or the levels too high which will cause distortions.

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 reducing input errors
  2. take a detailed look at types of errors
  3. group work to work on some of their own ideas about error reduction
  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. if possible, some can begin to collect their data
  7. highlight next week's focus and issue homework

Error image

Depending on the type of input of data the students use, various ways can be introduced to show how to control errors.  Even if they can't use them, at least the can understand them and might apply them in other areas of their studies.

This site gives some useful visual guides to correcting numerical errors in spreadsheet entry.  Many text based errors can be from transcription errors, which should be easy to spot.

There is a lot of scope for cross curricular work here as the project is for gathering data.  Students can work in any subject area which lends itself to this.

Some possible areas might be: weather data collection and analysis; podcasts of local people to track history in the area; a web site showing the food preferences of their year group; making a new school song by mashing up license free music; using energy plugs to track energy consumption at the school.

Homework Get students to write 3 common errors in data input 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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