One of the activities for the first week of the Learning and Knowledge Analytics (LAK11) course was to create a Hunch account and play around with it. If you’re not familiar with Hunch, a simple way to explain it would be a ‘survey that makes suggestions based on your answers’. I answered around 50 questions and Hunch’s recommendations to me were reasonably accurate (Except for the TV Shows). I would probably consider following some of Hunch’s recommendations if I had an endless supply of money and nothing else to do.
I’m going to keep answering questions and continue to ‘teach hunch about me’ and slowly refine it’s recommendations to the ‘true me’. From a marketing perspective, I’m curious about how they would classify or profile me based on my responses.
I think Hunch recommendations could also be used as an assistive tool. The recommendations could help learners document and compile evidence of previous scholastic endeavours (recognition of prior learning) refine subject selection in their area of study or even help them select a career path.
There was a mixed response to Hunch (and it’s recommendations) from course participants on the LAK11 forum, but I found Hunch to be fun to play with and an interesting example of how recommendations/suggestions can be made based on the aggregation of data (answers to questions).