Unit of competency
Modification History
Release |
Comments |
Release 1 |
This streamlined version first released with FSK Foundation Skills Training Package version 1.0. |
Application
This unit describes the skills and knowledge to identify and write whole numbers and money up to one hundred, and to undertake some beginning numerical processes such as ordering, sequencing and adding small amounts.
This unit applies to individuals who need numeracy skills at Australian Core Skills Framework (ACSF) pre-level 1 to undertake a vocational training pathway or workplace tasks.
This unit is designed for integration and contextualisation with vocational units to support achievement of vocational competency.
No licensing, legislative or certification requirements apply to this unit at the time of publication.
Unit Sector
Numeracy
Elements and Performance Criteria
Element |
Performance Criteria |
Elements describe the essential outcomes. |
Performance criteria describe the performance needed to demonstrate achievement of the element. |
1. Demonstrate basic understanding of numbers to one hundred |
1.1 Identify, name and write whole numbers up to one hundred 1.2 Locate numbers in documents and tasks 1.3 Sequence numbers 1.4 Copy numbers one to ten in words 1.5 Add pairs of whole numbers up to a total of twenty |
2. Identify and use money amounts to one hundred |
2.1 Identify Australian coins and notes 2.2 Order Australian coins and notes according to value 2.3 Identify monetary amounts up to $100 in personally relevant texts 2.4 Add pairs of whole dollar amounts up to a total of twenty 2.5 Identify and write money as symbols up to $100 |
Foundation Skills
This section describes language, literacy, numeracy and employment skills incorporated in the performance criteria that are required for competent performance.
Skill |
Performance |
Description |
Learning |
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Oral Communication |
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Mapping Information
Not applicable
Links
Companion Volume implementation guides are found in VETNet - https://vetnet.gov.au/Pages/TrainingDocs.aspx?q=f572fe10-a855-4986-9295-3852c771f178