02.03.2018 Views

Advances in E-learning-Experiences and Methodologies

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

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

PerceIved vALue And overALL<br />

student sAtIsFActIon wIth<br />

e-LeArnIng<br />

To <strong>in</strong>vestigate the student perspective, two sources<br />

of data were used: the actual usage patterns of<br />

the onl<strong>in</strong>e platform were <strong>in</strong>vestigated <strong>in</strong> conjunction<br />

with a study of the perceived satisfaction<br />

of e-learn<strong>in</strong>g. Students were surveyed us<strong>in</strong>g an<br />

anonymous questionnaire. In enhanced mode,<br />

the response rate was 71% (197 questionnaires<br />

returned), with 84% of the respondents regard<strong>in</strong>g<br />

themselves as full-time students <strong>and</strong> 50% generally<br />

<strong>in</strong>cl<strong>in</strong>ed to prefer e-learn<strong>in</strong>g to face-to-face<br />

learn<strong>in</strong>g. In flexible mode the response rate was<br />

65% (294 questionnaires returned) with 85% of<br />

the respondents regard<strong>in</strong>g themselves as full-time<br />

students <strong>and</strong> 52% preferr<strong>in</strong>g e-learn<strong>in</strong>g to faceto-face<br />

learn<strong>in</strong>g.<br />

The e-learn<strong>in</strong>g value framework proposed<br />

<strong>in</strong> the previous section (Figure 2) was applied<br />

to analyse the data collected. Five ma<strong>in</strong> issues<br />

aligned with framework categories emerged from<br />

the f<strong>in</strong>d<strong>in</strong>gs (Figure 3).<br />

Issue 1: “Accessibility”<br />

The first issue emerged from the <strong>in</strong>vestigation<br />

of the time dimensions of the actual usage of<br />

the onl<strong>in</strong>e platform. Onl<strong>in</strong>e activities took place<br />

predom<strong>in</strong>antly dur<strong>in</strong>g the hours of the day, with<br />

activities slow<strong>in</strong>g down <strong>in</strong> the even<strong>in</strong>g. The curve<br />

for participants <strong>in</strong> flexible mode peaks later <strong>in</strong> the<br />

day compared with the curve for enhanced mode<br />

(Figure 4). The days from Monday to Thursday<br />

were characterised by heavier usage compared to<br />

Friday to Sunday, with students <strong>in</strong> flexible mode<br />

more active dur<strong>in</strong>g the weekend (Figure 5).<br />

As shown <strong>in</strong> more detail <strong>in</strong> Petrova <strong>and</strong> S<strong>in</strong>clair<br />

(2005), there was very little variation <strong>in</strong> these<br />

two patterns across the semester, or by course<br />

level. In summary, it appears that e-learn<strong>in</strong>g as<br />

undertaken <strong>in</strong> this case study is not too different<br />

from face-to-face learn<strong>in</strong>g <strong>in</strong> terms of “when”<br />

Figure 3. Issues with perceived value of e-learn<strong>in</strong>g (students)

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!