learning-styles
learning-styles
learning-styles
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LSRC reference Section 9<br />
page 138/139<br />
The variable quality of <strong>learning</strong> style models<br />
This review (this report and Coffield et al. 2004)<br />
examined in considerable detail 13 models of <strong>learning</strong><br />
style and one of the most obvious conclusions is the<br />
marked variability in quality among them; they are not<br />
all alike nor of equal worth and it matters fundamentally<br />
which instrument is chosen. The evaluation, which<br />
is reported in Sections 3–7, showed that some of the<br />
best known and widely used instruments have such<br />
serious weaknesses (eg low reliability, poor validity<br />
and negligible impact on pedagogy) that we recommend<br />
that their use in research and in practice should<br />
be discontinued. On the other hand, other approaches<br />
emerged from our rigorous evaluation with fewer<br />
defects and, with certain reservations detailed below,<br />
we suggest that they deserve to be researched further.<br />
A brief summarising comment is added about each<br />
of the models that we appraised as promising.<br />
Allinson and Hayes: of all the instruments we have<br />
evaluated, the Cognitive Style Index (CSI) of Allinson<br />
and Hayes has the best psychometric credentials,<br />
despite the debate about whether it should be scored<br />
to yield one or two measures of intuition and analysis.<br />
It was designed to be used in organisational and<br />
business contexts, and is less relevant for use with<br />
students than by teachers and managers. It was<br />
designed as a simple instrument and its items are<br />
focused very transparently on decision making and<br />
other procedures at work. Although there is already<br />
some evidence of predictive validity, the authors<br />
acknowledge that relatively little is known about how<br />
the interplay of cognitive <strong>styles</strong> in different situations<br />
relates to work outcomes such as performance,<br />
absenteeism, professional development and attitudes.<br />
It is a suitable research instrument for studying<br />
educational management as well as for more specific<br />
applications – for example, seeking to identify the<br />
characteristics of successful entrepreneurs.<br />
Apter: reversal theory is a theory of personality, not<br />
of <strong>learning</strong> style. It was included because the concepts<br />
of motivation and reversal (eg change from work to<br />
play) are important for understanding <strong>learning</strong> <strong>styles</strong>.<br />
Reversal theory is relevant to groups and organisations<br />
as well as to individuals, who are not pigeon-holed<br />
as having fixed characteristics. Apter’s Motivational<br />
Style Profile (MSP) is a useful addition to <strong>learning</strong><br />
style instruments.<br />
Entwistle: his Approaches and Study Skills<br />
Inventory for Students (ASSIST) is useful as a sound<br />
basis for discussing effective and ineffective strategies<br />
for <strong>learning</strong> and for diagnosing students’ existing<br />
approaches, orientations and strategies. It is an<br />
important aid for course, curriculum and assessment<br />
design, including study skills support. It is widely used<br />
in universities for staff development and discussion<br />
about <strong>learning</strong> and course design. It could perhaps<br />
be used for higher education taught in FE colleges,<br />
but would need to be redesigned and revalidated for<br />
use in other post-16 contexts such as adult education,<br />
work-based training and 14–19 provision. It is<br />
crucial, however, that the model is not divorced from<br />
the inventory, that its complexity and limitations<br />
are understood by users, and that students are not<br />
labelled as ‘deep’ or ‘surface’ learners.<br />
Herrmann: his ‘whole brain’ model is suitable for use<br />
with learners as well as with teachers and managers,<br />
since it is intended to throw light on group dynamics<br />
as well as to encourage awareness and understanding<br />
of self and others. Herrmann and others have devised<br />
well-tried procedures for facilitating personal and<br />
organisational change. In completing Herrmann’s<br />
Brain Dominance Instrument (HBDI), respondents draw<br />
on their experience of life outside working contexts<br />
as well as within them. Herrmann’s model may prove<br />
especially valuable in education and training, since its<br />
raison d’être is to foster creative thinking and problem<br />
solving. It is unlikely that productive change will occur<br />
nationally in the area of lifelong <strong>learning</strong> until it is widely<br />
recognised that only a certain percentage of people<br />
function best when given a precise set of rules to follow.<br />
Although the Herrmann ‘whole brain’ approach to<br />
teaching and <strong>learning</strong> needs further research,<br />
development and independent evaluation within<br />
education, it is grounded in values which are inclusive,<br />
open, optimistic and systematic. More than any<br />
other model we have reviewed, it encourages flexibility,<br />
adaptation and change, rather than an avoidance<br />
of less preferred activities.<br />
Jackson: the Learning Styles Profiler (LSP) is a relatively<br />
new, but sophisticated, instrument which has yet<br />
to be tested by independent researchers. Jackson<br />
acknowledges that <strong>learning</strong> <strong>styles</strong> are influenced by<br />
biology, experience and conscious control. It deserves<br />
to be widely studied.<br />
Vermunt: his Inventory of Learning Styles (ILS) can<br />
be safely used in higher education, both to assess<br />
approaches to <strong>learning</strong> reliably and validly, and<br />
to discuss with students changes in <strong>learning</strong> and<br />
teaching. It is already being used widely in northern<br />
Europe to research the <strong>learning</strong> of undergraduates and<br />
so may be relevant for those settings in post-16 <strong>learning</strong><br />
which are closest to higher education. It will need,<br />
however, to be completely revalidated for the wide<br />
range of <strong>learning</strong> contexts in post-16 <strong>learning</strong><br />
which have little in common with higher education.