Big data !nally arrives to corporate training
It's 2015; analytics and dashboards are now integrated throughout the company. Adaptive
learning has introduced big data to learning management and with that turned training and
education from a black box into a transparent, evidence-driven process ¹⁰.
Relevant learning data points are now captured with high precision, from individual exercises
to the overall activity patterns, aggregated, dynamically analysed, and turned into analytics,
visualisations and dashboards that bring insights to authors, managers, administrators, and the
learners themselves.
Learners receive continuous feedback throughout the learning process – the training software
allows them to track their own progress, compare themselves against their peers, or review
areas they seem to have particular strengths and weaknesses in. In addition, the software helps
them better fit learning activities into their busy schedules, e.g. suggesting that they learn most
effectively early afternoon.
Course authors automatically get anonymised feedback from learners on anything from individual
exercises to their courses overall. Even more importantly, authors' activity dashboards give them
insight into how exactly learners use their courses. The dashboards show how learners spend
their time across the course, common mistakes, and frequent misconceptions. These can be
used by the authors to fix problems or improve courses, with the changes propagated to the
learners automatically – in real time.
Managers, similarly to authors, get access to a variety of dashboards and visualisations – theirs are,
however, tailored to answer a different set of questions. Whereas authors want to know how to
make their course better, managers care about understanding the strengths and weaknesses of
their staff, and how to help them get better.
Thus, analytical tools for management answer questions such as: are there patterns of missing
skills in our workforce? What's the biggest limiting factor for career progression for this person,
or people in our company in general? Do our staff have any misconceptions or gaps that are
impacting productivity, safety, or security?
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