Sunday, October 15th, 2006 9:01 pm
Contributed by: dmcarthur
In thinking about the promises and pitfalls of using new media in education I keep coming back to challenges associated with speed.
How long has YouTube been around? Well, three PayPal employees started it in February 2005 and less than 20 months later Google purchased it for more than $1.6 billion (that’s roughly $24 million per employee). Obviously YouTube is a great attraction for teenagers, which is partly why Google acquired it. So it’s natural to think about how this new medium, and other web environments, could be incorporated into learning and teaching.
Unfortunately, it usually takes education developers, publishers, and practitioners around 20 years, not 20 months, to turn a new idea or technology into high-quality products and services that can be broadly disseminated in classrooms. Between an idea and dissemination are steps like figuring out what students can actually learn with the innovation, testing and refining interventions, crafting professional development for teachers, and also revising standards that articulate what students should be learning — often a highly political step that sometimes seems to go backward rather than forward.
The trouble, of course, is that once educators finally figure out how to adapt a new technology or medium, like YouTube or online video games, any number of newer ideas will have come and gone. So, for every opportunity that education capitalizes on, it may miss a dozen or more — and the lost opportunities may be increasing as the pace of innovation continues to accelerate on the web.
There is no easy solution to this problem that I can see; new web-based technology innovation and business development will always move ahead more rapidly than educational reform. But I think we can speed up the educational use of new technologies, and NSDL can be part of that change.
Take strand maps, a simpler technology than YouTube, for example. Strand maps, or concept maps, are visual representations that emphasize connections between ideas and processes, such as heat, the water cycle, and climate change. On the surface, this technology ought to help learning in all sorts of subjects. And there is some evidence that it does — but it is not very systematic and the ideas haven’t yet gotten into classrooms on a large scale.
One major reason for this is that a lot of researchers who’ve investigated strand maps have built their own tools and have often spent much less time testing and refining them in classrooms than developing them in labs. Effective use of NSDL could change this in a couple of ways.
Imagine that NSDL included a single robust strand map service (which it may do, very soon). Then, when a research team wanted to study learning using strand maps in a specific subject area, it could concentrate on experiments and avoid costly re-development of yet-another-strand-map-tool; in this way, results of the experiments from individual groups would be available to the community much more rapidly than before. On top of that, groups interested in strand maps for other subjects or other grades could conduct their experiments in parallel — and they could all use the NSDL communication infrastructure to rapidly compare their results.
This is one way that the NSDL could help educational technology research and development quickly test the effectiveness of new media, and keep pace with web kids — well, almost.
Posted in Topics: Digital media, Education, Social Studies
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