Dear Stefan,
this is a fabulous project idea! What I call 'passion technologies' are surely the way to go :)
At last year's Horizon project meeting, this stipulated very engaged discussions.
For example, whether it makes sense and is possible at all to create 'passion profiles' (this
term was coined by Bryan Alexander, if I remember correctly). A passion profile would list
in which topics a learner engages, which topics are a challenge, which topics someone dislikes.
Affective states influence cognition and - if taken into account - learning can become more
passionate, that's the underlying hypothesis.
You will hopefully find this one an interesting read:
D’Mello, S. and Graeser, A. (2012): Dynamics of Affective States during Complex Learning, In: Learning and Instruction, Vol. 22, pp. 145-157.
If you want to get started messing around with some real data:
try this tutorial that I provided for the course (on how to do
sentiment detection on the #LAK13 tweets):
http://crunch.kmi.open.ac.uk/people/~fwild/services/sentiment-demo.Rmw
Let me know if you think the tutorial is too complex or if you get
stuck anywhere -- I compiled it in a rush ;)
Best,
Fridolin
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