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A Handbook for Teaching and Learning in Higher Education Enhancing academic and Practice

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E-learn<strong>in</strong>g – an <strong>in</strong>troduction<br />

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91<br />

technologists whose support you may be able to access, all of them should be possible.<br />

They are purely illustrative of the k<strong>in</strong>ds of activities that <strong>academic</strong> staff may f<strong>in</strong>d<br />

successful, <strong>and</strong> are not, of themselves, recommended. The key th<strong>in</strong>g to ask be<strong>for</strong>e<br />

embark<strong>in</strong>g on any sort of e-solution is ‘What is the purpose of this?’ <strong>Higher</strong> education e-<br />

learn<strong>in</strong>g plat<strong>for</strong>ms <strong>and</strong> websites are littered with empty wikis, deserted discussion <strong>for</strong>a,<br />

rarely visited onl<strong>in</strong>e course areas. This is usually due to three factors, of which the first is<br />

the most important:<br />

1 There is <strong>in</strong>sufficient purpose to the e-<strong>in</strong>tervention; it is solv<strong>in</strong>g a problem that does<br />

not exist.<br />

2 It is not built <strong>in</strong>to the regular face-to-face teach<strong>in</strong>g of the course or its assessment<br />

structures.<br />

3 Insufficient time is available to set up <strong>and</strong> then diligently ma<strong>in</strong>ta<strong>in</strong> the activities.<br />

E-learn<strong>in</strong>g rarely works where it is regarded as simply a value-added extension of the<br />

ma<strong>in</strong> part of the course. It is also unlikely to flourish where there is little support or<br />

<strong>in</strong>centive available, or recognition that it is time-consum<strong>in</strong>g (remember that e-learn<strong>in</strong>g is<br />

not automated learn<strong>in</strong>g; it requires the teacher’s presence as much as other types of<br />

teach<strong>in</strong>g). Lastly, as assessment drives student learn<strong>in</strong>g <strong>and</strong> is ‘the most powerful lever<br />

teachers have to <strong>in</strong>fluence the way students respond to courses <strong>and</strong> behave as learners’<br />

(Gibbs, 1999, p. 41), so it follows that e-learn<strong>in</strong>g elements <strong>and</strong> activities will need to be<br />

<strong>in</strong>tegrated <strong>in</strong>to the way the course is assessed (see Chapter 10 on assessment).<br />

Once you start to approach the subject from the basis of your <strong>and</strong> your course’s<br />

educational aims, you will <strong>in</strong>evitably f<strong>in</strong>d yourself th<strong>in</strong>k<strong>in</strong>g about learn<strong>in</strong>g design (see<br />

also Chapter 4). As you move from the basic provision of course management <strong>in</strong><strong>for</strong>mation<br />

<strong>and</strong> lecture materials made available via a VLE towards the knottier but more productive<br />

challenges of th<strong>in</strong>k<strong>in</strong>g what e-learn<strong>in</strong>g you want your students to actually do, you will<br />

need to consider how to design learn<strong>in</strong>g activities <strong>for</strong> your students, which have clear<br />

purpose <strong>and</strong> are <strong>in</strong>tegrated <strong>in</strong>to the design of the course. The examples given <strong>in</strong> Table 7.1<br />

are illustrative only; you will have your own challenges to surmount <strong>and</strong> your own<br />

answers <strong>and</strong> ideas.<br />

There is much theory about design <strong>for</strong> e-learn<strong>in</strong>g, although one can also say that<br />

‘there are no models of e-learn<strong>in</strong>g per se, only e-enhancements of models of learn<strong>in</strong>g’<br />

(Mayes <strong>and</strong> de Freitas, 2004). In practice, we rarely start consciously from theoretical<br />

models of learn<strong>in</strong>g, but they are useful as you ask yourself some of the questions they<br />

try to answer or exp<strong>and</strong> upon, <strong>and</strong> you may f<strong>in</strong>d that some have utility as you move<br />

from abstract consideration towards a practical solution. How we design <strong>for</strong> our students’<br />

e-learn<strong>in</strong>g, <strong>and</strong> what philosophical traditions we are act<strong>in</strong>g with<strong>in</strong> when we do so, is a<br />

fasc<strong>in</strong>at<strong>in</strong>g <strong>and</strong> complex question but one which cannot be given further consideration<br />

<strong>in</strong> this chapter. The <strong>in</strong>terested reader can f<strong>in</strong>d many excellent books which <strong>in</strong>clude<br />

overviews of learn<strong>in</strong>g models as applied to e-learn<strong>in</strong>g <strong>and</strong> useful checklists <strong>for</strong> the<br />

practitioner (e.g. Beetham <strong>and</strong> Sharpe, 2007) <strong>and</strong> onl<strong>in</strong>e studies about mapp<strong>in</strong>g theory<br />

to practice <strong>in</strong> e-learn<strong>in</strong>g design (e.g. Fowler <strong>and</strong> Mayes, 2004).

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