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One of the objectives of the National Centre for Vocational Education
Research (NCVER) is to build the research capacity of the vocational
education and training (VET) sector. To this end, NCVER sponsored
seven new researchers to attend NCVER's 2007 'No Frills' conference.
One of these awards went to John Ward. This paper is based on his
presentation at the conference.
Registered training organisations are
currently required to collect and report information about learner
satisfaction as part of their
compliance with the Australian Quality Training Framework (AQTF).
However, this
information can also provide benefits to training providers themselves
by helping them identify areas where they can improve their services
and measure how well they are meeting their students' needs.
Measuring
student satisfaction with VET services and getting
it right! examines ways of accurately measuring student satisfaction
with VET. The paper highlights the importance of using good-quality
survey instruments to collect data about student satisfaction.
The author notes that, currently, the quality of this information
tends
to vary
across the VET sector. The paper discusses the challenges involved
in collecting good-quality student satisfaction data and describes
a range
of methodological issues that relate to measuring student satisfaction.
A structural equation model is used to demonstrate a possible
means of designing and collecting quality survey data.
The key
point in this paper, that registered training organisations
need a good-quality survey tool to improve the validity of learner satisfaction
surveys across the VET sector, has been borne out by recent developments
in the VET sector. A national survey instrument is currently being developed
by the Australian Council for Educational Research to facilitate the
collection of data for learner satisfaction by registered training organisations
and, from June 2008, all registered training organisations will be required
to use this survey to measure and report their students' satisfaction
with their training.
Key messages:
- Consistent and good-quality survey tools are essential for collecting
reliable data about learner satisfaction.
- The majority
of registered training organisations tend to measure levels of student
satisfaction with their services;
however,
the definitions of learner satisfaction used by training organisations
are not uniform
and the elements of satisfaction they measure can vary.
- Greater uniformity in the fundamentals of survey design would assist
in comparative analysis of registered training
organisation
performance.
- Improved learner satisfaction tools will
provide information that registered training organisations can use
to
guide decisions aimed
to improve the quality of their services.
Tom Karmel
Managing Director, NCVER
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