Conference paper
Exploratory learning analytics methods from three case studies
Australian Society for Computers in Tertiary Education
31st Annual Conference of the Australian Society for Computers in Tertiary Education, ASCILITE 2014 (Dunedin; New Zealand, 23/11/2014–26/11/2014)
2014
Abstract
Brief outlines of exploratory analysis methods (analysis designed to develop hypotheses) from three research projects illustrate the size, scope, variety and increased resolution that are becoming increasingly available at the unit of analysis for research in the learning sciences. The tools and methods applied in these studies are briefly outlined, which enable researchers to deal with complexity in time and event structures involving complex data in learning analytics projects. In particular, the transformation of data involving both reduction methods and pattern aggregation into motifs were found to be crucial for data interpretation. The article describes data mining with a self-organizing map, involving unsupervised machine learning and symbolic regression and combining exploratory analysis methods to achieve causal explanations.
Details
- Title
- Exploratory learning analytics methods from three case studies
- Authors/Creators
- D. Gibson (Author/Creator)S. de Freitas (Author/Creator)
- Conference
- 31st Annual Conference of the Australian Society for Computers in Tertiary Education, ASCILITE 2014 (Dunedin; New Zealand, 23/11/2014–26/11/2014)
- Publisher
- Australian Society for Computers in Tertiary Education
- Identifiers
- 991005543861707891
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Conference paper
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