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:
- 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 teacher/teaching analytics.
- 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 contexts.
- 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.