Learning Analytics Course

3621691 Learning Analytics, 5 ECTS

Content

Introduction to the learning analytics field. Theory and learning analytics The process of learning analytics The general framework of learning analytics Applications LA in higher education institutionsExpectations and students perspectives of LA Analysis and reporting of different types of learning data (practical sessions

By the end of the course students are expected to be able to

– Describe the taxonomy of different terms used in the learning analytics field, and identify the differences between each of them.
– Recognize the different theoretical models underpinnings the learning analytics process, and apply such theories to different problems.
– Explain different ethical and privacy challenges, analyse institutional policies and design a policy for the group project.
– Identify the different steps in the analytics process, explain their steps and use it to design the group project.
– Evaluate the analytics examples regarding their built, ethics and application, and offers an analysis and critique of their approach.
– Apply the principles learnt in the course to analyse the datasets, report on the findings and discuss the possible insights, as well as evaluate its usefulness and applicability in a real-life situation.

Organizers

Sonsoles López-Pernas   –  Mohammed Saqr

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