“… The students’ feelings and attitudes, which are hugely important to the educational process, cannot be measured by clicks at all.”
Clicks, ok, but fortunately ‘social learners’ do more than clicking: they write, comment, repost, blog, etc. There are many different methods and approaches that can interpret data in a more meaningful way (still in dev), and they could in principle detect emotions. Taking into account future developments in sensor networks and smart computing, I think these possibilities will only increase in the future.
An example of some good research into semantic analysis of the social web on my university: http://wis.ewi.tudelft.nl/imreal/u-sem/
Very interesting recording from yesterday’s session on data and analytics in agriculture is now available. Chris Perry - a potato farmer - detailed how they use analytics to transform their farming operation, moving to “biomimicry” (following the natural biological process) and reducing the impact of chemicals on farming.
From the Learning Analytics Course 2012 - http://lak12.wikispaces.com/
I asked this question on the LAK11 forum:
… It regards the fact that learning is not constrained to only the school or university: this is not sustainable or realistic. People interact on forums and other learning environments, such as Cramster, StackOverflow, Quora, Wikipedia, Hypios, etc. Isn’t it time that institutions go and start hosting these kinds of environments and develop standards for measuring learning activity? I think that if this is the case, these environments need to be more open than a traditional LMS, allowing anyone to add anyone (institutions have less control). What kind of analytics do we need to control quality of content and assessment of learning activities?