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Excellent Measures Precede Measures Of Excellence

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Data-driven' evaluations require access to quality data ... Parsimony/ sufficiency' Sensitivity/generalisability. Validity/stability/reliability ... – PowerPoint PPT presentation

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Title: Excellent Measures Precede Measures Of Excellence


1
Excellent Measures Precede Measures Of Excellence
  • Dr Hamish Coates
  • coatesh_at_acer.edu.au

2
Focus of the presentation
  • Review of key considerations
  • Stocktake of current alternatives
  • Highlight possible developments
  • Conversation about possibilities

3
Designing quality indicators
  • Data-driven evaluations require access to
    quality data
  • The quality of indicators underpins the authority
    and validity of the evaluation
  • Current national data resources are limited
  • ? What quantifiable indicators would enhance
    national evaluations of teaching and learning in
    Australian higher education?

4
An evaluative perspective
  • Australia is a leader in the large-scale
    evaluation of teaching and learning
  • Large-scale evaluations are part of contemporary
    higher education
  • We need to place greater significance on
    evaluation methodology
  • Methods for evaluating educational quality have
    been developed over many years
  • It is imperative that appropriate and
    contemporary analytical methods are used

5
Qualities of robust indicators
  • Interpretability/transparency/simplicity
  • Parsimony/sufficiency
  • Sensitivity/generalisability
  • Validity/stability/reliability
  • Efficiency/practicality/integrity
  • Relativity/context/framework

6
A general indicator framework
7
Review of current possibilities
  • Trends in national conversations about teaching
    and learning
  • The current national alternatives
  • CEQ GTS, GSS, OSI
  • GDS graduate work, further study
  • DEST attrition, progress
  • Limitations of current alternatives

8
An enhanced indicator framework
  • Many developments outside the framework
  • Current framework is dated due to major sector
    changes
  • Authority of a framework and associated
    indicators relies on their synergistic
    relationship
  • Need to reconceptualise the framework for
    teaching and learning indicators

9
A measure of student engagement
  • The idea of student engagement
  • The value-added by student engagement data
  • Engagement data helps to enhance higher education
  • An Australian student engagement survey

10
Measures of academic learning
  • Problems with current state of affairs
  • Develop staff capacity for manage assessment
  • Develop calibrated assessment instruments
  • Develop grade-point averages

11
Graduate skills measures
  • Routine administration of a graduate skills
    assessment to provide data on the net effect of
    university study
  • Develop authentic assessments of graduate
    skills
  • Gather insights on graduate skills from graduate
    employers

12
A review of the perspective
  • Quality considerations are influenced by the
    information on which they are based
  • Data-driven policies must be underpinned by valid
    and accessible indicators
  • Current data available at the national level is
    limited
  • A revised indicator framework and new data
    collections would enhance determinations of
    quality in Australian higher education
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