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Eynon, Rebecca; Malmberg, Lars-Erik – Computers & Education, 2011
Using data from a nationally representative survey of over a 1000 young people in the UK this paper proposes a typology of the ways young people are using the Internet outside formal educational settings; and examines the individual and contextual factors that help to explain why young people are using the Internet in this way. Specifically, this…
Descriptors: Individual Characteristics, Young Adults, Classification, Profiles
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Amershi, Saleema; Conati, Cristina – Journal of Educational Data Mining, 2009
In this paper, we present a data-based user modeling framework that uses both unsupervised and supervised classification to build student models for exploratory learning environments. We apply the framework to build student models for two different learning environments and using two different data sources (logged interface and eye-tracking data).…
Descriptors: Supervision, Classification, Models, Educational Environment