ITO5004 · Learning analytics fundamentals

Overview

This unit will provide an overview of the foundations of learning analytics – general issues, definitions, challenges, critical issues, relationships with other fields. The unit will examine and critically appraise the interdisciplinary nature of learning analytics. The unit will also critically discuss connections between the three critical dimensions of learning analytics – data analytics, design, and theory. The process of data analysis along with selected data analysis techniques commonly used in learning analytics will be introduced. The unit will consider how learning analytics can be used for personalisation and decision-making. Ethical use of data and privacy protection will be explored.

Offerings

The Handbook publishes no offerings for this unit.

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

In-semester assessment: 100%

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

The Handbook lists no prerequisite, corequisite or prohibition for this unit.

Learning outcomes

1. Define and critically analyse dimensions of learning analytics
2. Review and assess emerging trends and tools in learning analytics
3. Explain and appraise ethical and privacy implications in adoption of learning analytics
4. Develop a detailed plan for learning analytics implementation and critically assess its main elements

Workload

Minimum total expected workload equals 12 hours per week

Student experience, not official rules. Nothing here changes what the Handbook says.