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Journal of Research in Innovative Teaching - National University

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S<strong>in</strong>ce 2003 the growth <strong>of</strong> onl<strong>in</strong>e learn<strong>in</strong>g has come a long way. Today, there cont<strong>in</strong>ue to<br />

be implications for design, development, and delivery. The next section <strong>of</strong>fers an update and<br />

proposition for consideration.<br />

Figure 2. Version 2 <strong>of</strong> the e2L 2007, illustration by David Montes De Oca<br />

The e2L Today: Further Updates<br />

Over the past several years there has been the recognition <strong>of</strong> an evolutionary process regard<strong>in</strong>g<br />

how people learn and process <strong>in</strong>formation <strong>in</strong> both the traditional brick and mortar classroom<br />

(group sett<strong>in</strong>g) and the onl<strong>in</strong>e sett<strong>in</strong>g (<strong>in</strong>dividual sett<strong>in</strong>g). The classroom has historically been<br />

driven by lecture (auditory), whereas onl<strong>in</strong>e <strong>in</strong>itially started out very text/document heavy<br />

(visual), it has slowly shifted to <strong>in</strong>tentionally <strong>in</strong>clud<strong>in</strong>g auditory and k<strong>in</strong>esthetic (hands-on)<br />

learn<strong>in</strong>g opportunities to reach the various learn<strong>in</strong>g styles that <strong>in</strong>dividual br<strong>in</strong>gs to the learn<strong>in</strong>g<br />

experience (Knowles, 1984). This is what the authors <strong>of</strong> the e2L model call “from evolution to<br />

revolution” <strong>in</strong> onl<strong>in</strong>e learn<strong>in</strong>g. The 2009 update to the model is based on the research and<br />

developments that have evolved through what we have learned about the way people “learn”<br />

onl<strong>in</strong>e. This data have been drawn from both the academic and corporate sectors, primarily on<br />

their <strong>in</strong>creased utilization <strong>of</strong> e-learn<strong>in</strong>g. Critical updates to the e2L model <strong>in</strong>clude add<strong>in</strong>g:<br />

• Both l<strong>in</strong>ear (already exists) and decision-tree learn<strong>in</strong>g options (com<strong>in</strong>g <strong>in</strong>to play more and more)<br />

• Analytics that further validate learn<strong>in</strong>g is occurr<strong>in</strong>g (beyond benchmark<strong>in</strong>g and assessment)<br />

• Interactive Learn<strong>in</strong>g Objects (aka multifunctional digital learn<strong>in</strong>g assets)<br />

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