COLCommons short course
Introduction to Learning Analytics: A Primer
The course has been designed and written with the explicit purpose of assisting teachers to understand and use learning analytics ethically and appropriately in their own context. Teachers form the central focus of the course. Learning analytics as a research field and practice is, at its core, interdisciplinary. Drawing upon various disciplines, the course makes the text and key concepts as accessible as possible for a broad audience.
- Duration
- Approx. 05 hrs
- Language
- English
- Access
- No login required
What you'll learn
- 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.
Topics covered
- Topic 1: The World of Learner Data
- Topic 2: Understanding Evidence and Data
- Topic 3: Understanding Academic, Learning and Teacher/Teaching Analytics
- Topic 4: Sources of Data: Mapping the Data Journey of Learners
- Topic 5: Uses of Learning Analytics
- Unit 6: Learning Analytics: Methods & Working with Data
- Topic 7: Ethics, Privacy and Consent
- Topic 8: Implementing Learning Analytics
- Topic 9: Developing Policy for Learning Analytics
- Topic 10: Future Trends in Learning Analytics
About progress
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