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graduate students interested in becoming acquainted with relevant instructional technologies have a limited number of options. Few graduate programs include such training as a part of the curriculum. As a matter of fact, pedagogy itself often represents a negligible fraction of graduate program requirements. The University of Minnesota offers excellent training through its summer institutes,4 but access is an issue. Most IT departments offer training sessions on how to use the university course management system, build a web page, or create a PowerPoint presentation, but technical training is not enough.

Today, language centers are the only campus units where such a wide range of expertise can easily be found.

The role of language technologists goes beyond teaching what a blog is and how to set up a browser to display Japanese characters. It includes sorting through novel technologies, evaluating their instructional potential, researching current educational uses, and sharing findings with educators. The most promising applications available today were not designed for instructional use and do not come with an instruction manual. To use them in the classroom requires the ability to redirect their intended purpose and, more importantly, to think through possible consequences of doing so.

It’s not hard to imagine a slew of commercial applications for this technology. You could compare prices of a product online, learn how to operate that old water heater whose manual you have lost or find out about the environmental record of a certain brand of tuna. But Goggles and similar products could also tell the history of a building, help travelers get around in a foreign country or even help blind people navigate their surroundings.

But recognizing images at what techies call “scale,” meaning thousands or even millions of images, is hugely difficult, partly because it requires enormous computing power. It turns out that Google, with its collection of massive data centers, has just that.