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The fit between theory and empirical findings seems<br />

almost too good to be true. In Table 37, exemplars<br />

of each <strong>learning</strong> style are shown, constructed by taking<br />

the first item of each sub-scale with high factor loadings<br />

on each style factor. These exemplars certainly have<br />

a high degree of face validity as representing different<br />

approaches to study. It will be seen that there is some<br />

degree of overlap between <strong>styles</strong>, as well as two<br />

significant gaps which are consistent with Vermunt’s<br />

theory. As application-directed learners are thought<br />

to use a mixture of self-regulation and external<br />

regulation, it is not surprising that there is no statement<br />

based on the sub-scale loadings for regulation for such<br />

learners. The second gap is that there is no statement<br />

about processing strategies for undirected learners,<br />

which is consistent with Vermunt’s qualitative finding<br />

that such learners hardly ever engage in study-related<br />

cognitive processing.<br />

The relevance of the ILS for use in the UK HE context<br />

has been established by Boyle, Duffy and Dunleavy<br />

(2003). The authors administered the 100-item (short<br />

form) version of the ILS to 273 students. They found<br />

that three of the four main scales have good internal<br />

consistency, while the fourth (<strong>learning</strong> orientation) had<br />

a borderline alpha value of 0.67. However, the reliability<br />

of the 20 sub-scales was rather less satisfactory than<br />

in Vermunt’s 1998 study, with only 11 sub-scales having<br />

alpha values of 0.70 or above. Confirmatory factor<br />

analysis supported Vermunt’s model of four <strong>learning</strong><br />

<strong>styles</strong>, although the application-directed and undirected<br />

style measures showed less integration across<br />

components than the other two.<br />

Despite its face and factorial validity and<br />

multidimensional structure, it has not been confirmed<br />

through independent research that the ILS is a good<br />

predictor of examination performance. With a sample<br />

of 409 psychology undergraduates, Busato et al. (2000)<br />

found that only the undirected style predicted academic<br />

success (negatively), and even then accounted for<br />

less than 4% of the variance over the first academic<br />

year. Both the meaning-directed style and openness<br />

(between which there was a Pearson r measure<br />

of 0.36) had virtually zero correlations with four<br />

outcome measures. Achievement motivation and the<br />

personality variable of conscientiousness were slightly<br />

better predictors in this study, but not nearly as good<br />

as performance on the first course examination on<br />

a introductory module.<br />

In their UK study, Boyle, Duffy and Dunleavy (2003)<br />

also found that a factor measure of undirected<br />

<strong>learning</strong> style was a negative predictor of academic<br />

outcomes for 273 social science students, but it<br />

accounted for a mere 7% of the variance. On this<br />

occasion, meaning-directed style was a positive<br />

predictor, accounting for 5% of the variance, but<br />

neither reproduction-directed nor application-directed<br />

style yielded a significant correlation.<br />

Evaluation<br />

Vermunt’s framework was not designed to apply in all<br />

post-16 <strong>learning</strong> contexts, but specifically to university<br />

students. However, he and his students are, at the<br />

time of writing, developing a new instrument to<br />

assess <strong>learning</strong> at work and a new version of the ILS<br />

for the 16–18-year-old group (Vermunt 2003). The new<br />

16–18 instrument will take account of current teaching<br />

practices and will include an affective component.<br />

The ILS asks about:<br />

how students attempt to master a particular piece<br />

of subject matter<br />

why they have taken up their present course of study<br />

their conceptions of <strong>learning</strong>, good education and<br />

cooperation with others.<br />

By limiting his focus to higher education, Vermunt<br />

has been able to produce a reliable self-assessment<br />

tool, but this means that its relevance is largely<br />

unknown in other contexts, such as problem-based<br />

<strong>learning</strong>, vocational education, adult basic<br />

skills <strong>learning</strong> or work-based training. When an<br />

instrument modelled on the ILS was applied by Slaats,<br />

Lodewijks and Van der Sanden (1999) in secondary<br />

vocational education, only the meaning-directed<br />

and reproduction-directed patterns were found.<br />

Moreover, Vermunt’s framework does not map well<br />

onto the categories empirically established in Canadian<br />

adult education settings by Kolody, Conti and Lockwood<br />

(1997). Cross-cultural differences in the factor<br />

structure of the ILS were reported by Ajisuksmo<br />

and Vermunt (1999).<br />

The structure of the framework consists<br />

of Entwistle-like <strong>learning</strong> <strong>styles</strong> on the horizontal axis<br />

(which represent different levels of understanding)<br />

and a mixture of content and process categories<br />

on the vertical axis. This is clearly a framework rather<br />

than a taxonomy, as the vertical axis cannot be said<br />

to represent a dimension.

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