On completion of this course, participants should be able to do the
- Explain learning analytics in the broader evolution of the use of
learners’ data in teaching and learning environments.
- Critically examine the claims of objectivity and measurement made
in the world of data.
- Provide a personalised and contextualised definition of learning
analytics and distinguish learning analytics from academic and
- Distinguish between different sources of learners’ data, and map
data they have access to in their own contexts, to inform their
teaching and their learners’ learning.
- Explain the different uses of learning analytics and develop a
strategy to use learning analytics at a course level in their own
- Demonstrate a basic, informed understanding of working with data
and the different free software available to assist teachers.
- Identify ethical issues in learning analytics, take the necessary
steps to protect learner privacy, and create a personalised
statement of consent for use in their own classrooms/contexts.
- Create a basic implementation plan for using learning analytics in
their own teaching.
- Appreciate the critical role of a policy framework to guide the
implementation of learning analytics.
- Describe some of the future trends in learning analytics and how
these might apply within their own contexts.