Analytics in Learning

It is well-known that carefully designed data collection leads to data-driven decision making in different fields along with in learning processes. It is obvious, that this kind of evidence will be more objective and reliable, than the evidence based on personal experiences of individuals. Thus, according to Long & Siemens (2011), data-driven decision making improves the organizational output and productivity.
Due to learning analytics the data about the learners can be measured, collected, analyzed and reported, the purpose of which is to understand and evaluate this or that issue connected with their learning and the environment in which the learning occurs. Learning analytics can provide evidence about the success and also challenges of the learning environment, i.e. institutions. It means that the further steps can be taken according to the results of the reported data. Another advantage that it provides, is that the learners get up-to-date information about their own learning and try to improve it based on the evidence given by the learning analytics. Thus, with the help of the learning analytics the quality of the teaching and learning can definitely become more efficient.

More information is available via this link: http://www.youtube.com/watch?v=KqETXdq68vY