George Siemens
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.
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Index Terms
- Learning analytics and educational data mining: towards communication and collaboration
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Reviews
Michael O. Moorman
This interesting paper addresses a valid area of concern. The overall conclusion reached by the authors, that the two disciplinary areas of educational data mining (EDM) and learning analytics and knowledge (LAK) should collaborate more, is certainly true. These two areas are parts of a whole that were created by looking at the same thing from different perspectives. However, it seems to me that the authors are perhaps a little behind the times. There are multiple examples extant in the scientific literature and news media that describe the use of analytics for a variety of purposes, including assisting leaders in making better decisions. It is laudable that the authors believe that, to the extent EDM and LAK can jointly articulate quality standards for research in this area, it may be possible to more effectively communicate these standards to the wider community of tool developers, analytics practitioners, and the broader research community. The research and methods from these two disciplines are certainly valuable in the educational field. They deserve a place among the approaches available to assist educational leaders in the creation of better educational opportunities for all. However, the individual disciplinary areas need to be organized to more closely align with each other. That will make it easier to work on articulating quality standards outside these areas, hopefully under the umbrella of a more broadly based organization such as the ACM. Online Computing Reviews Service
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