It’s always a pleasure to participate in a workshop hosted by BC’s Educational Technology Users Group. This year’s event did not disappoint, and I had the pleasure of attending provocative and thoughtful sessions on maker culture, open educational practice, portfolios, and OER. I’m always struck by how carefully facilitators and speakers prepare their sessions, and […]Read more "Privacy in a Big Data Post-Privacy World"
creative commons licensed ( BY-SA ) flickr photo shared by Sylvia Currie I’ve been scrambling this week to gather my forces coming out of a rather busy month, and in advance of a trip to NYC next week. So this will not even attempt to recap the experience of hosting CNIE here at TRU last […]Read more "CNIE was a hoot and a howl"
Jim Groom has a Bavalicious post with musings on where the web went wrong in higher ed, and I highly recommend you read it, as well as some very informed and thoughtful responses in the comments. I am posting an expanded version of my own comment here. Pat Lockley suggests a less sinister rationale for […]Read more "The web has solidified against us"
In my ongoing struggle to define a sense of “innovation” I can get behind, a couple recent readings have been a great help… Mike Caulfield provides a detailed and impressively well-grounded follow-up to Jon Udell’s riff on Eric von Hippel’s notion of user-driven innovation. By all means, read the whole thing, but a few of […]Read more "On “lead users” and “generalists”"
Colleges Are Using Big Data To Predict Which Students Will Do Well––Before They Accept Them http://t.co/ALLYDgiy7C — Co.Exist (@FastCoExist) October 30, 2013 The "prediction" of human behavior is precisely what Orwell, Huxley, Dick, Ballard, and Asimov warned us of. And yet. — umair (@umairh) October 28, 2013 For example, imagine your credit score. Now imagine […]Read more "Agency and algorithms"