Hello Wonderful World of m-Ako. m-AKo = mobile reciprocal learning. This page isn't about that; m-Ako is just a name. You have to call a site something... But here's something it is sort of about... Data-driven Instructional Design (#ddid). So far I've built a few toy ones, and applied the thing to small cohorts with promising results. I tried working at Corrections in the hope of getting access to huge anonymous data sets, only it didn't exactly work out like that. A lot of instructional design is either old ideas getting re-hashed, or muddled mash-ups of new technology for the sake of it, or just pragmatic use of the available tools. But there's very little going on in the way of meaningful metrics, systematic observation, variable isolation, or attempts to reproduce a result. Put it another way, it's more of an art than a science, but I'm interested in pursuing the science angle... when opportunity presents. Did you notice I'm not into formatting? Sorry, just can't be bothered. If you don't like the look of it you could switch on your screen reader only the diagrams won't come across too well. Anyway, more interesting than CSS, how does data-driven instructional design work? Here's the overview: build a nice little course that lots of people will want to do, get people to sign up on it; be sure the student profiles contain attributes that will inform your design interests; run it a few times and start collecting data; anonymise the data else you have to tell the people what you're doing and that may change what they do; get a copy of Orange installed on your computer; build a schema according to the tutorials, or use a book like Tan, Steinbach and Kumar Introduction to Data Mining to guide you. Remember data mining is not like a science experiment where you hypothesise and then design an experiment to support or refute your hypothesis; data mining is like prospecting... you dig and you sift through the dirt and look for anything of value... it may be lead or it may be silver or it may just be dirt. Then if you do find silver adjust your design to try to find more of it, and if you find only dirt then go look somewhere else. That's why it's called data mining. What's the significance of the highlight colour? None. This is best viewed on a MacBook or a Chromebook and it might be OK on a tablet, but the layout won't work too well on a phone. You'd have to be a bit special to want to read it on your phone anyway. Here's the detail: Coming soon...