Instructions for course participants

4. Learning outcomes

The course design is learner-centered and based on learning outcomes, as shown in Table 1. The learning outcomes cover different levels of Bloom’s taxonomy and have different relative weights.

Table 1. Course learning outcomes

Learning outcome	Level	Weight
Explain the importance of learning analytics for improving the processes of learning and teaching	Understanding	12
Analyse ethical aspects, personal data protection aspects, and limitations in the use of learning analytics	Analysing	15
Apply digital technologies for collecting, analysing, and using data on student activities, performance, and progress	Application	23
Critically evaluate the sources, types, and quality of available data in order to gain more insights into student learning and teaching processes	Analysing	20
Evaluate and adapt learning design, teaching strategies, and assessment methods based on the results obtained through learning analytics	Evaluation	15
Apply learning analytics with the aim of improving learning and teaching, and implementing pedagogical interventions	Application	15

The highest weight and central role belong to the learning outcome: apply digital technologies for collecting, analysing, and using data on student activities, performance, and progress.

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