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The answer to almost any question is available within seconds, courtesy of the invention that has altered how we discover knowledge - the search engine. Materializing answers from the air turns out to be the easy part - the part a machine can do. The real difficulty kicks in when you click down into your search results. At that point, it's up to you to sort the accurate bits from the misinfo, disinfo, spam, scams, urban legends, and hoaxes. "Crap detection," as Hemingway called it half a century ago, is more important than ever before, now that the automation of crapcasting has generated its own word: "spamming."

A history of technology-mediated learning The following is a section from my PhD thesis. It is part of the "Past Experience" section of the Ps Framework. It aims to give a potted history of technology-mediated learning and show how it connects with e-learning. Since these terms are somewhat overused, it starts with some definitions. The plan is that this history will be used to identify lessons from history, which e-learning (generally) hasn't learned. I've been working on this for at least a month. I have been doing other work on the thesis, but the fact that this has take soooo long is not all the heartening. I think perhaps may sights are set a little high. The alternatives are that I'm either a crap writer or I'm currently not in the mood to write. We'll see where we go from here. The following has not been proof-read thoroughly. I'm leaving that for a later task. If you have any suggestions for improvement, fire away.

In the third part of his critical thinking series, Howard covers how teachers can turn students into "online detectives" by teaching critical research skills to determine site ownership and bias. Also, he describes some of his own collaborative teaching techniques.