Data Analysis and Interpretation (EDUC91323)

Graduate courseworkPoints: 12.5Online

You’re viewing the 2025 Handbook:
Or view archived Handbooks

Overview

Availability
March - Online
August - Online
FeesLook up fees

This subject addresses the analysis and interpretation of educational data, from observations of individual learners to data from large scale assessments. It explores how data visualisation tools can be used to identify patterns and trends emerging from qualitative and quantitative data. The subject prioritises the examination of issues of quality and fairness, including strategies for reducing biases during data interpretation and use.

Intended learning outcomes

On completion of this subject, students should be able to:

  • Use data visualisation tools to identify patterns and trends emerging from qualitative and quantitative data
  • Analyse assessment data to evaluate the quality and fairness of the assessment
  • Deploy strategies for reducing biases during data interpretation and use
  • Critique the quality of inferences drawn from data, accounting for uncertainty and limitations.

Generic skills

This subject will assist students to develop the following transferable skills:

  • Critical thinking and reasoning
  • Evidence based decision making
  • Problem solving
  • Communication.

Last updated: 4 March 2025