Course Overview
The course will cover all the aspects of Learning Analytics(LA), how it is a surface-level or first-layer introduction to the complex world of learning analytics. It will also demonstrate all the levels of education, from pre-primary to post-secondary and how teachers have a contractual and moral duty to facilitate learning.
Learning Outcomes
On completion of this course, participants should be able to do the following:
  1. Explain learning analytics in the broader evolution of the use of learners’ data in teaching and learning environments.
  2. Critically examine the claims of objectivity and measurement made in the world of data.
  3. Provide a personalised and contextualised definition of learning analytics and distinguish learning analytics from academic and teacher/teaching analytics.
  4. 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.
  5. Explain the different uses of learning analytics and develop a strategy to use learning analytics at a course level in their own contexts.
  6. Demonstrate a basic, informed understanding of working with data and the different free software available to assist teachers.
  7. 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.
  8. Create a basic implementation plan for using learning analytics in their own teaching.
  9. Appreciate the critical role of a policy framework to guide the implementation of learning analytics.
  10. Describe some of the future trends in learning analytics and how these might apply within their own contexts.