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Advances in E-learning-Experiences and Methodologies

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E-Learn<strong>in</strong>g Value <strong>and</strong> Student <strong>Experiences</strong><br />

motivation (Tastle et al., 2005) <strong>and</strong> the required<br />

special tra<strong>in</strong><strong>in</strong>g is also needed.<br />

The cases presented support the notion that<br />

although students are satisfied with e-learn<strong>in</strong>g <strong>in</strong> a<br />

course currently taken, they might not have formed<br />

a sufficiently positive attitude towards e-learn<strong>in</strong>g<br />

<strong>in</strong> general <strong>and</strong> therefore cannot recommend it to<br />

others with confidence. Therefore, study<strong>in</strong>g student<br />

perceptions <strong>and</strong> satisfaction with e-learn<strong>in</strong>g<br />

will need to cont<strong>in</strong>ue, as also evidenced by works<br />

such as Flynn et al. (2005), Hisham, et al. (2004),<br />

Hunt et al.(2002), Ndubisi (2006), Selim (2005),<br />

<strong>and</strong> Wells et al.(2005).<br />

With the observed <strong>in</strong>crease <strong>in</strong> the range of<br />

user <strong>in</strong>terfaces, physical devices <strong>and</strong> support<strong>in</strong>g<br />

<strong>in</strong>frastructure driven by new <strong>and</strong> emerg<strong>in</strong>g <strong>in</strong>formation<br />

<strong>and</strong> communication technologies (Bl<strong>in</strong>co<br />

et al., 2004), further research is needed <strong>in</strong> the area<br />

of blended models such as blend<strong>in</strong>g content from<br />

different sources such as multimedia (Verhaart<br />

& K<strong>in</strong>shuk, 2004), blend<strong>in</strong>g content with learn<strong>in</strong>g<br />

processes (Brita<strong>in</strong>, 2004; Buzzetto-More &<br />

P<strong>in</strong>hey, 2006), <strong>and</strong> blend<strong>in</strong>g delivery platforms as,<br />

for example, the use of mobile networks (Petrova,<br />

2007) which will help create a more satisfactory<br />

<strong>and</strong> fulfill<strong>in</strong>g e-learn<strong>in</strong>g environment. F<strong>in</strong>ally,<br />

further research will help identify <strong>and</strong> conceptualise<br />

advanced blended learn<strong>in</strong>g models.<br />

reFerences<br />

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Publications.html

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