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Unit of study_
EDPZ6012: Data Literacy for School Teachers
The pressures and incentives that are driving the need for data literacy for school teachers come from many directions: (a) the move to a standards referenced system, (b) the integration of international, national and statewide high stakes testing programs, and (c) the requirement in the Australian Professional Standards for Teachers that directly address data literacy. In this unit data literacy is broadly defined as the ability to understand and use data effectively to inform teaching and learning decisions.
| Code | EDPZ6012 |
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| Academic unit | Education |
| Credit points | 6 |
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Prerequisites:
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None |
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Corequisites:
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None |
| Prohibitions:
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None |
At the completion of this unit, you should be able to:
- LO1. Define data literacy in relation to assessment literacy.
- LO2. Define data-driven decision and consider some of the more common data-based decision making models.
- LO3. Collect, organise, analyse, interpret, draw conclusions from and apply assessment results to modify teaching practice.
- LO4. Interpret key statistics that are used to evaluate the outcomes from analyses of student assessment data, e.g.effect size; trend graph; standard error of measurement; confidence-intervals; and value-added.
- LO5. Explain and give examples of how assessment results can be misinterpreted and lead to unintended consequences.
- LO6. Explain the role of moderation in making assessments like the HSC and NAPLAN comparable.
Unit outlines
Unit outlines will be available 2 weeks before the first day of teaching for the relevant session.
- Semester 2, 2023 [Online] - Camperdown/Darlington, Sydney
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