Two Dutch presenters one from Fontys University, one from Parantion. So, the session started with a theory that student are often, lazy, unprepared listeners when they turn up for lectures. To test this out we played a well known Dutch game called cap on, cap off. Suddenly the caps seem significant. How much had we prepared, and how much did we know about the presenters and the presentation. Good game. Most of us were LULs....
Big wireless network, trying to optimise it, but only time users cared was when it didn't work. Inspired by big data movement, so took a look at the data being collected. Realised it was a diamond mine of data.
Presented the data to the students and asked them to look at it.
First thing they built were visualisations. Could see how busy the new outwork was.
Urged students to be creative with it. They built infographics.
Compared OS and devices being used. Looked at trends. Apple going up, windows down.
Android up, iOS down.
Girls more active
Students more active than teachers
Hipsters more than nerds
Students built a where's my device app, and an absent /present app for buildings, ie a who's in board based on devices going in and out.
Killer app was measuring who much you were moving ina building. Points awarded for how much you were moving. Useless but a huge success.
Then used data from other sources eg timetable. Looked at attendance based on wireless activity and compared with schedule.
Also built attendance app for lectures based on wireless data.
Built app to monitor whether a room was in use, so could compare timetable data with whether anyone was actually in a room.
We have lots of data on campus. Added to every day. We can even see how interesting a lecture is by looking at log files to see how much social media is used in it!
Project to look at Student Evaluation, use just in time evaluation, whilst they are in class or on campus. Use wireless data to send it only to students who are in that class.
Teacher gets result immediately, and student can see how their response compares to peers.
First results are good, high response rate.
We have lots of valuable data. What questions do we needed to answer? Tools and apps can be built, but we need the right questions.
Use your golden pick on the diamond mine of data!
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