Trusted Learning Analytics

Regsiter now for the new OpenupEd course on Learning Analytics:

Among various trending topics that can be investigated in the field of educational technology at present there is a clear and high demand of making use of educational data to improve the whole learning and teaching cycle. This spans from collecting and estimating the prior knowledge of students for a certain subject, to the actual learning process and its assessment. Educational data science therefore cuts through almost all educational technology disciplines and is key to many other research topics.

Data science in education has been coined ‘Learning Analytics’, an umbrella term for research questions from overlapping research domains such as psychology, educational science, computer and data science. Learning analytics is the collection and analysis of data about learners and their contexts, in order to understand and optimise learning experiences and the environments in which they occur.

The main objective for learning analytics is to unveil so far hidden information out of the educational data to gain new insights and prepare those for the different educational stakeholders (learners, trainers and managers). This new kind of information can support individual learning, enhance facilitation and teaching quality, but also improve organisational knowledge management processes and system administration.

This course aims at framing learning analytics and its most important dimensions. It will demonstrate why learning analytics has the power to be a real game-changer for educational research by enhancing the e-learning experiences and creating more effective e-learning environments