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 MSS025003, 'Report environmental data'.
- Google Links
- links to google searches, with filtering in place to maximise the usefulness of the returned results
- Books
- Reference books for 'Report environmental 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. | ||
1 | Perform scientific calculations | 1.1 | Ensure raw data are consistent with expectations and reasonable ranges. |
1.2 | Calculate scientific quantities involving algebraic, power, exponential and/or logarithmic functions. | ||
1.3 | Ensure calculated quantities are consistent with estimations. | ||
1.4 | Present results using the appropriate units, uncertainties and number of significant figures. | ||
2 | Determine variation and/or uncertainty in data distributions | 2.1 | Organise raw data into appropriate frequency distributions. |
2.2 | Calculate means, medians, modes, ranges and standard deviations for ungrouped and grouped data. | ||
2.3 | Interpret frequency distributions to determine the characteristics of the sample or population. | ||
2.4 | Calculate standard deviations and confidence limits for means and replicates. | ||
2.5 | Estimate the sampling error and/or uncertainty in data using statistical analysis. | ||
2.6 | Determine data acceptability using statistical tests and workplace procedures. | ||
3 | Interpret data and related statistics | 3.1 | Recognise significant trends in data. |
3.2 | Use standard statistical methods to test for an association or correlation between variables. | ||
3.3 | Use standard statistical methods to test hypotheses involving the same variable between samples, samples with more than one variable and for paired samples. | ||
3.4 | Verify data interpretation with supervisor, as necessary. | ||
4 | Check for aberrant data sets | 4.1 | Identify data that cannot be reconciled with sample, data set and/or documentation, monitoring procedures and/or expected outcomes. |
4.2 | Determine appropriate actions in consultation with supervisor, as necessary. | ||
5 | Report data and analysis | 5.1 | Use charts, tables and graphs to present summarised data and analysis results in the required format. |
5.2 | Verify that entry of data and results are correct. | ||
5.3 | Clearly identify summary information and any significant trends and/or problems with data. | ||
5.4 | Prepare reports in a format and style consistent with their intended use and workplace guidelines. | ||
5.5 | Communicate results within the specified time and in accordance with workplace confidentiality and security guidelines. | ||