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 CPPSIS5040, 'Interpret and collate spatial data'.
- Google Links
- links to google searches, with filtering in place to maximise the usefulness of the returned results
- Reference books for 'Interpret and collate spatial 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 italicised text is used, further information is detailed in the range of conditions.
Access spatial data.
Project spatial data requirements and constraints, and client requirements, are identified and documented in consultation with appropriate persons.
Spatial datasets are retrieved from data storage and other relevant sources and new data is captured according to project and organisational requirements.
Data is manipulated into appropriate format to meet project requirements.
Query and interpret spatial data.
Data is queried and interpreted using appropriate equipment and software application according to project requirements.
Data is verified for integrity and relevance using industry-accepted statistical tests and methods according to project requirements.
Irregularities are identified and resolved, and results recorded and documented according to organisational requirements.
Collate spatial data.
Spatial data is collated according to organisational requirements.
Most appropriate format and database for spatial data are selected according to organisational requirements.
Validate spatial data.
Tools for testing validity of information and data are identified, accessed and used according to organisational requirements.
Problems with collated data are identified and resolved to ensure quality and usability according to organisational requirements.
Spatial data is archived and records and documentation are completed according to organisational requirements.