Measuring Learning Effects

In course

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Description

This lecture covers the fundamentals of measuring learning effects in digital education and learning analytics. It discusses research questions, hypotheses, variables, experimental design, bias solutions, and the distinction between correlation and causation.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_7bd1l914

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

Statistical inference: Statistical hypothesis testing

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