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LSRC reference Section 6<br />

page 66/67<br />

More recently, Wierstra and de Jong (2002) have<br />

again empirically analysed the two-dimensional model<br />

behind the 1985 version of the LSI and have suggested<br />

yet another configuration. They argue that there has<br />

been no conclusive evidence for the existence of Kolb’s<br />

two dimensions – AC-CE and RO-AE – and indeed,<br />

other researchers have found different two-dimensional<br />

structures or no two-dimensional structure at all<br />

(eg Cornwell, Manfredo and Dunlap 1991; Geiger<br />

and Pinto 1992). Their own research found two<br />

configurations of the relations between the four<br />

constructs, both of them different from the structure<br />

proposed by Kolb. Their preferred solution, which<br />

is suggested by all the types of analysis they carried<br />

out and which is not influenced by the problem of the<br />

‘ipsative’ scoring system (see below for explanation)<br />

is ‘a one-dimensional bipolar representation: (AC+RO)<br />

versus (AE+CE) or “reflective <strong>learning</strong> versus <strong>learning</strong><br />

by doing”’ (Wierstra and de Jong 2002, 439). This<br />

finding now needs to be replicated with other samples,<br />

but there is no doubt that, for the present, their<br />

research and that of De Ciantis and Kirton constitute<br />

a serious challenge to the construct validity of the LSI.<br />

General issues<br />

Another recurrent criticism of the LSI has concerned<br />

the scoring method. There are, in effect, two separate<br />

issues which are sometimes combined by some<br />

commentators. First, all three versions of the LSI<br />

employ the forced-choice method which Kolb chose<br />

deliberately, partly to increase the ecological validity<br />

of the instrument (ie the learner is forced to make a<br />

choice between different ways of <strong>learning</strong> in accordance<br />

with Kolb’s theory), and partly to avoid the ‘social<br />

desirability response’ set. To control for this response,<br />

Kolb chose four words ‘of equally positive social<br />

desirability’ (1981, 293), although it is questionable<br />

whether this objective has been achieved.<br />

Second, the LSI is what is technically described<br />

as ‘ipsative’: that is, the interdependence of the four<br />

<strong>learning</strong> modes is built into the test. To explain in<br />

more detail, a learner is forced to assign one of the<br />

four scores (1, 2, 3 or 4) to one of four endings to<br />

a sentence so that the total score for each learner<br />

for each sentence is always 10 (ie 1+2+3+4). For<br />

example, ‘When I learn: I am happy (1). I am fast (3).<br />

I am logical (2). I am careful (4)’. For Wierstra and<br />

de Jong (2002, 432), ‘ipsativity obscures the real<br />

relation between the four <strong>learning</strong> modes and it<br />

hampers research into the dimensionality of the test’.<br />

Mainemelis, Boyatzis and Kolb (2002, 10) responded<br />

to these problems by arguing as follows: ‘In the LSI, the<br />

four scale scores (AC, CE, AE, RO) are clearly ipsative,<br />

but the two dimensional scores (AC-CE and AE-RO)<br />

are not … <strong>learning</strong> <strong>styles</strong> in the LSI are determined<br />

on the basis of the two non-ipsative dimensional scores<br />

and not the four ipsative scale scores’.<br />

Implications for pedagogy<br />

Kolb argues that his theory of experiential <strong>learning</strong><br />

provides a useful framework for the design and<br />

management of all <strong>learning</strong> experiences and, moreover,<br />

he makes three practical suggestions. Both types<br />

of contribution are briefly explored here.<br />

According to Kolb (1984, 196), the main weakness<br />

of current pedagogy is ‘the failure to recognise and<br />

explicitly provide for the differences in <strong>learning</strong> <strong>styles</strong><br />

that are characteristic of both individuals and subject<br />

matters’. As a result of studying the instructional<br />

preferences of students of business and architecture,<br />

Kolb produced a table which lists in great detail the<br />

characteristics of <strong>learning</strong> environments that help<br />

or hinder learners with four different <strong>learning</strong> <strong>styles</strong>.<br />

For example, the students scoring highest in active<br />

experimentation were, it is claimed, helped in their<br />

<strong>learning</strong> by small-group discussions, projects,<br />

peer feedback and homework, but not by lectures.<br />

Kolb’s first practical suggestion is that teachers and<br />

learners should explicitly share their respective theories<br />

of <strong>learning</strong>, a process which would create four benefits.<br />

Students would understand why the subject matter<br />

is taught as it is and what changes they would need<br />

to make to their <strong>learning</strong> <strong>styles</strong> to study this subject.<br />

Teachers would identify the range of <strong>learning</strong> <strong>styles</strong><br />

among the student body and would modify their<br />

teaching accordingly.<br />

Both teachers and students would be ‘stimulated<br />

to examine and refine their <strong>learning</strong> theories’<br />

(Kolb 1984, 202).<br />

Through dialogue, teachers would become more<br />

empathetic with their students and so more able to<br />

help them improve their knowledge and skills. Freedman<br />

and Stumpf (1978) make, however, the reasonable<br />

point that such dialogues will not always take place in<br />

ideal conditions – that is, in small classes which provide<br />

individual attention from a tutor who is trained in the<br />

theory and practice of <strong>learning</strong> <strong>styles</strong>.<br />

The need to individualise instruction is the second<br />

practical conclusion that Kolb draws from his research<br />

into <strong>learning</strong> environments. This is, of course, easier<br />

said than done, particularly in further education with<br />

large group sizes and a modular curriculum, but Kolb<br />

believes that information technology (IT) will provide the<br />

breakthrough, together with a shift in the teacher’s role<br />

from ‘dispenser of information to coach or manager<br />

of the <strong>learning</strong> process’ (1984, 202). Kolb’s Facilitator’s<br />

guide to <strong>learning</strong> presents a table which ‘summarizes<br />

<strong>learning</strong> strengths and preferred <strong>learning</strong> situations<br />

that have been discussed in <strong>learning</strong> style research’<br />

(Kolb 2000, 17). No further details about the research<br />

are given. The table claims, for example, that those<br />

whose strength lies in <strong>learning</strong> by experiencing prefer<br />

games and role plays, whereas those whose strength<br />

lies in <strong>learning</strong> by reflecting prefer lectures.

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