· 2012
Learning analytics and educational data mining
- 979citations
- 2012year
Short summary
This paper calls for formal collaboration between the Educational Data Mining (EDM) and Learning Analytics and Knowledge (LAK) communities to advance research and tools in educational data analysis.
AI-generated from the title and abstract; the full text is not read.
Key points
- Growing interest in educational data analytics necessitates more research.
- Two distinct communities, EDM and LAK, address this need separately.
- The paper advocates for formal communication and collaboration between EDM and LAK.
- Collaboration will enable sharing of research, methods, and tools.
AI-generated from the title and abstract; the full text is not read.
Abstract
Growing interest in data and analytics in education, teaching, and learning raises the priority for increased, high-quality research into the models, methods, technologies, and impact of analytics. Two research communities -- Educational Data Mining (EDM) and Learning Analytics and Knowledge (LAK) have developed separately to address this need. This paper argues for increased and formal communication and collaboration between these communities in order to share research, methods, and tools for data mining and analysis in the service of developing both LAK and EDM fields.
The authors' abstract, as published at the source., 2012 · DOI ↗
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Field: Computer Science Applications
Computer Science ApplicationsComputer Science