How can you transform a classroom full of students into a community of learners? Betsy Page Sigman, a distinguished teaching professor in the McDonough School of Business at Georgetown University in Washington, D.C., has tried over the years to add new types of technology to her database and e-commerce classes to engage her students.
"In fifty years, if not much sooner, half of the roughly 4,500 colleges and universities now operating in the United States will have ceased to exist. The technology driving this change is already at work, and nothing can stop it. The future looks like this: Access to college-level education will be free for everyone; the residential college campus will become largely obsolete; tens of thousands of professors will lose their jobs; the bachelor's degree will become increasingly irrelevant; and ten years from now Harvard will enroll ten million students."
"The instructor can then pull together material from various sources into one e-book-two chapters from a published textbook, three videos from MIT's OpenCourseWare, and a research study from Harvard University, for example. The instructor can also upload his or her own material, like a syllabus for the course. The system then calculates a price for the Pearson and third-party content."
"The big theme of Mr. Shirky's talk was openness. Taking advantage of technology, he argued, will require "doing more sharing than we're used to and then learning to live with results." He underscored the power of sharing with an anecdote about what happened when the Smithsonian Institution made a cache of photographs available on Flickr, the photo-sharing site. Users catalogued the archive with tags that reflected an unpredictable range of interests, including facial hair, the history of photography, and the fiction genre known as Steampunk.
"There's all kinds of hidden value in our systems which you can't even understand until you open them up to see what people do with them," Mr. Shirky said. "The thing that drives me craziest in conversations with large institutions about large data sets is they want to know in advance what will happen. Why should we open up our data? To which the answer is, you open up your data to see where the value is. It's the value you can't even predict until you try it that you get back.""