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ITO5009 · Measurement and evaluation in learning analytics

Official Handbook

2026 Handbook6 credit pointsLevel 5Faculty of Information Technology

Last checked: 23 Aug 2026 UTC

Overview

This unit will focus on topics of measurement science and evaluation that are of relevance for learning analytics. Special attention will be paid to validity and reliability of measurement, choice of evidence used to support measurement, and measurement techniques and tools. The unit will also explore methods that can be used for evaluating effectiveness and impact of implementation of learning analytics across different settings.

Offerings

The Handbook publishes no offerings for this unit.

Assessment

The Handbook publishes no assessment items for this unit yet.

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

prerequisite

  • ITO5005 — Educational theories and processes in learning analytics
  • ITO5007 — Introduction to data science for learning analytics

Joined by AND.

Workload

Minimum total expected workload equals 12 hours per week

ActivityDuration
Tutorials24 hours

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