BeskrivelseThis workshop focusses on the methodology of learning analytics, as it relates to developing or using metrics for learning and learning-related constructs. During the workshop, participants and expert discussants from two specialist fields – learning analysts and educational measurement – will review a number of papers which involve measures of learning or related constructs. A knowledge-building process will be used to synthesise ‘best practice’ methodological principles derived from presentations and discussants. The discussion will focus on how best to abstract meaning from learning data, which may include examination of assumptions about the nature of learning, how learning can be detected and understood, what the term ‘measured’ means, how data adequacy is ensured and data modeling conducted, and what standards of proof are required to verify the utility and interpretability of findings. The workshop is expected to provide a framework for a new sub-field entitled 'Measurement Analytics'. More background information about this new field can be found here.
|Periode||2017 → 2018|
|Placering||Sydney, Australien, New South Wales|
|Grad af anerkendelse||International|
Aktivitet: Udgivelse af peer-review og redaktionelt arbejde - typer › Reviewer/redaktør af tidsskrift