Steve Wheeler (@timbuckteeth) has started a blog series called #LearningIs (referenced in my last post) and in doing so has challenged all of us to think about how we define learning. Learning Like a Machine My thoughts drifted first to other, non human things that “learn”. I considered the artificial intelligence “stars” of pop culture- Apple’s Siri, 2001 A Space Odyssey’s HAL, Bladerunner’s Rachael and Samantha from Spike Jonze’s poignant film Her. I’ve long been fascinated

Marie Antoinette poignantly expressed what the generic French phrase plus ça change plus c’est la même chose drives at. That is, the “more things change, the more they stay the same”. Some might find this view pessimistic, like it should be accompanied by a heavy sigh of defeat. I rather find it comforting, because – let’s all admit it – change is downright scary and uncomfortable (albeit frequently exciting). Still, change is more palatable than revolution (something Queen M

image: my student, Sam St. John I’ve been really enjoying participating in #etmooc, and the last Blackboard session with Alec got me thinking of connectivism again. Each year I have my IB Theory of Knowledge students read “Knowing Knowledge” by George Siemens (2006) KnowingKnowledge_LowRes (1) Last year we had a lively socratic circle activity with a Twitter backchannel, but this year I decided to include the reading and obligatory reflection in their semester exam. They resp