Units / ITO5005
ITO5005 · Educational theories and processes in learning analytics
2026 Handbook6 credit pointsLevel 5Faculty of Information Technology
Last checked: 23 Aug 2026 UTCOverview
The unit is dedicated to aspects of the learning sciences and education research in learning analytics. The unit will introduce several theoretical models of human learning and critically appraise their role in the development and evaluation of learning analytics. The unit will explore approaches for informing design and data science practices in learning analytics. The unit will critically appraise different research methods from the learning sciences and educational research that are used for development and evaluation of learning analytics.
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.
| # | Assessment | Type | Weight | Hurdle |
|---|---|---|---|---|
| 1 | Reading reflection | Assignment | 15% | — |
| 2 | Proposal | Assignment | 35% | — |
| 3 | Learning analytics implementation critique | Attendance | 50% | — |
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
- Describe and critically discuss educational theories and processes in the use of learning analytics
- Evaluate the design and implementation of learning analytic projects/innovations using educational theories and processes
- Develop and critically appraise strategies for learning analytic implementations using educational theories and processes
Workload
Minimum total expected workload equals 12 hours per week.
| Activity | Duration |
|---|---|
| Tutorials | 24 hours |
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