Educational data mining: overview and research trends
نویسندگان
چکیده
منابع مشابه
Data Mining: Research Trends, Challenges, and Applications
Data mining is an interdisciplinary research area spanning severals disciplines such as database systems, machine learning, intelligent information systems, statistics, and expert systems. Data mining has evolved into an important and active area of research because of theoretical challenges and practical applications associated with the problem of discovering (or extracting) interesting and pr...
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The 1 international conference on “Educational Data Mining” (EDM) took place in Montreal in 2008 while the 1 international conference on “Learning Analytics and Knowledge” (LAK) took place in Banff in 2011. Since then the fields have grown and established themselves with an annual international conference, a journal and an association each, and gradually increase their overlapping. This paper b...
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Constructionism can be a powerful framework for teaching complex content to novices. At the core of constructionism is the suggestion that by enabling learners to build creative artifacts that require complex content to function, those learners will have opportunities to learn this content in contextualized, personally-meaningful ways. In this paper, we investigate the relevance of a set of app...
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Streaming data are potentially infinite sequence of incoming data at very high speed and may evolve over the time. This causes several challenges in mining large scale high speed data streams in real time. Hence, this field has gained a lot of attention of researchers in previous years. This paper discusses various challenges associated with mining such data streams. Several available stream da...
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ژورنال
عنوان ژورنال: Lietuvos matematikos rinkinys
سال: 2015
ISSN: 2335-898X,0132-2818
DOI: 10.15388/lmr.b.2015.08