Data, Sources and Usage · B5 Computing

Lesson notes

Learning Objectives

Indicator: B5.1.3.1.1 - Use Strategies for identifying data from results of an experiment.

By the end of the lesson, learners can:

distinguish between qualitative data (descriptions) and quantitative data (numbers) from the results of a simple experiment;
identify at least three strategies for recognising data when looking at experiment results;
sort experiment results into qualitative and quantitative categories with at least 80% accuracy;
convert simple experiment results from one format to another (for example, from a list to a tally chart, or from a description to a set of numbers) without losing the meaning of the data;
explain why it is important to keep data accurate when recording results from an experiment.

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Curriculum details

Strand: Introduction to Computing (Strand 1)
Sub-strand: Data, Sources and Usage (1.3)
Content standard: B5.1.3.1 - Illustrate the use of Data and identify their sources.
Indicator: B5.1.3.1.1 - Use Strategies for identifying data from results of an experiment.
Suggested placement: Term 1, Week 6 (Week 6 of the year)
Our suggestion, laid out in curriculum order across three terms of twelve weeks. NaCCA does not fix the week, so follow your school's scheme of learning.
Curriculum reference: Computing Curriculum (Basic 4-6), 2019, p. 14
Transcribed from the official NaCCA publication. Check this page against the source.

Exemplars (from the NaCCA curriculum)

Guide learners to identify the types of data (qualitative and quantitative) by asking leading questions. Task them to convert data from one format to another without losing its value.