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CEQuery Application. Julie – Ann Pegden Curtin University. 2:30 – 3:45. Post CEQuery comments analysis. Julie-Ann Pegden . Final product... . 2 step process. Step 1 – CEQuery scores the comments

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Cequery application

CEQuery Application

Julie – Ann Pegden

Curtin University

2:30 – 3:45

Post cequery comments analysis

Post CEQuery commentsanalysis

Julie-Ann Pegden

2 step process
2 step process

  • Step 1 – CEQuery scores the comments

  • Step 2 – IBM SPSS Text Analytics for Surveys further categorises comments and produces the diagram

Background evaluate
Background - eVALUate

  • Curtin’s online system for gathering and reporting student’s perceptions of their learning experience

  • Unit survey comprises 11 quantitative items and 2 qualitative items:

    Please comment on the most helpful aspects of the unit

    Please comment on how you think the unit might be improved

How we use cequery in evaluate
How we use CEQuery in eVALUate

Report at multiple levels:

  • University

  • Faculty

  • Teaching school/dept

  • Course

  • Unit

  • Or by other demographic breakdown (eg. grade, campus, year of study, mode of study, unit size, etc.)

How we report cequery results
How we report CEQuery results

  • Routine eVALUate reporting

  • Course review

  • Adhoc basis by request (eg. by unit/course coordinators)

How we report cequery results in course review
How we report CEQuery results in course review

How we report cequery results in course review cont d
How we report CEQuery results in course review (cont’d)

What do we do post cequery
What do we do post CEQuery?

  • More indepth/fine grained analysis of comments from single domain or sub-domain or a combination of subdomains

  • Supplementary to the CEQuery results

  • Focus on the needs improvement sub-domain(s) with the highest counts and/or ratio of comments

Why is it worthwhile
Why is it worthwhile?

Time saving (eg. units with high enrolments - rather than reading a multitude of both BA and NI comments, a busy unit coordinator gets to see the main issues “at a glance”).

Gives the issues as well as the extent of the problem (theme counts)


Same Best Aspects and Needs Improvement open-ended questions as CEQ

Minimum number of comment hits before it would be worth creating a visualisation – 100?

Software - SPSS Text Analytics for Surveys (site licence?)


  • Confidentiality/sensitivity issues:

  • No raw comments are reported - themes only

  • How much time to spend carrying out the analysis?

  • Dictionary – modified for unit level use

Cequery application

Julie-Ann Pegden

Curtin Teaching and Learning