Formats and tools
- Unit Description
- Reconstruct the unit from the xml and display it as an HTML page.
- Assessment Tool
- an assessor resource that builds a framework for writing an assessment tool
- Assessment Template
- generate a spreadsheet for marking this unit in a classroom environment. Put student names in the top row and check them off as they demonstrate competenece for each of the unit's elements and performance criteria.
- Assessment Matrix
- a slightly different format than the assessment template. A spreadsheet with unit names, elements and performance criteria in separate columns. Put assessment names in column headings to track which performance criteria each one covers. Good for ensuring that you've covered every one of the performance criteria with your assessment instrument (all assessement tools together).
- Wiki Markup
- mark up the unit in a wiki markup codes, ready to copy and paste into a wiki page. The output will work in most wikis but is designed to work particularly well as a Wikiversity learning project.
- Evidence Guide
- create an evidence guide for workplace assessment and RPL applicants
- Competency Mapping Template
- Unit of Competency Mapping – Information for Teachers/Assessors – Information for Learners. A template for developing assessments for a unit, which will help you to create valid, fair and reliable assessments for the unit, ready to give to trainers and students
- Observation Checklist
- create an observation checklist for workplace assessment and RPL applicants. This is similar to the evidence guide above, but a little shorter and friendlier on your printer. You will also need to create a seperate Assessor Marking Guide for guidelines on gathering evidence and a list of key points for each activity observed using the unit's range statement, required skills and evidence required (see the unit's html page for details)
- Self Assessment Survey
- A form for students to assess thier current skill levels against each of the unit's performance criteria. Cut and paste into a web document or print and distribute in hard copy.
- Moodle Outcomes
- Create a csv file of the unit's performance criteria to import into a moodle course as outcomes, ready to associate with each of your assignments. Here's a quick 'how to' for importing these into moodle 2.x
- Registered Training Organisations
- Trying to find someone to train or assess you? This link lists all the RTOs that are currently registered to deliver AURMKA001, 'Manage motor sport data'.
- Google Links
- links to google searches, with filtering in place to maximise the usefulness of the returned results
- Reference books for 'Manage motor sport data' on fishpond.com.au. This online store has a huge range of books, pretty reasonable prices, free delivery in Australia *and* they give a small commission to ntisthis.com for every purchase, so go nuts :)
Elements and Performance Criteria
Elements describe the essential outcomes.
Performance criteria describe the performance needed to demonstrate achievement of the element. Where bold and italicised text is used, further information is detailed in the range of conditions section.
1. Identify and confirm data acquisition requirements
1.1 Team requirements and controlling body rules, category rules and supplementary regulations are used to specify data requirements
1.2 Benchmark specifications for a correctly functioning electronic data acquisition system are accessed and interpreted
2. Configure electronic data acquisition system
2.1 Tools and material to support data acquisition process are selected and prepared
2.2 Component rates, ratios and parameters for input sensors are calculated and entered into system math channels
2.3 Sample rates most suited to particular data logging channel are entered
2.4 System operation is checked according to manufacturer specifications and team requirements
3. Retrieve data
3.1 Data acquisition system start-up procedure is carried out according to manufacturer procedures
3.2 Data acquisition system is operated according to its designed capacity and purpose, manufacturer specifications and safety requirements
3.3 Retrieved data is verified, where appropriate, using reliable alternative or optional processes according to team requirements
3.4 Data parameter variables and potential for inaccurate results are identified
4. Analyse data
4.1 Sources of collected data are compared for consistency
4.2 Data is analysed using mathematical processes
4.3 Trends and patterns in data are analysed, including non-conforming results outside of predicted outcomes
4.4 Possible reasons for trends and patterns are investigated
4.5 Potential vehicle performance enhancement solutions are identified
4.6 Problems with required data or operation of equipment are reported to appropriate persons
5. Present data
5.1 End users of statistical data and their preferred format are identified
5.2 Data is represented to meet end user needs
5.3 Recommendations are documented and presented with supporting data
6. Complete work processes
6.1 Equipment and support material are cleaned, maintained and prepared ready for further use according to manufacturer procedures and team requirements
6.2 Faults in acquisition systems and components are diagnosed
6.3 Unserviceable equipment and faults are documented and appropriate action is taken according to team procedures