Please, join us for the live stream of today's keynote: ow.ly/Aw4SR
A highly interactive start to the keynote as Bart had the audience
interpret analytics relating to the world cup performance of Robin van
Persia, demonstrating the limitations of learning analytics. He talked
of the need to distinguish between learner data and learning data before
introducing a number of studies around learning analytics. One such
study involved pre-sessional students on an economics degree that were
assigned to study groups for 4 months. Results showed that the students
learned more outside their assigned groups rather than inside these
groups. So, if 80% of learning occurs outside their "classroom" how can
we encourage informal learning, and how can we capture this learning in
learning analytics?
A further development of the study looking at the VLA data showed that
the predictive power of VLE data alone is very low, whereas using all
data for six performance measures yields a far greater prediction
accuracy. Using such data allows for example for early and targeted
interventions with struggling students. Questions for Eurocall to
consider are what VLE metrics should mew use, what do students learn
from peers? When should the teacher intervene and how could we use
smart(er) metrics of emotions and learning patterns?
Bart's closing remark to his very entertaining and inforrmative talk was
that learning analytics has lots of potential, but still offers more
questions than answers. (By Oranna)
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