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Klingler, Severin; Käser, Tanja; Solenthaler, Barbara; Gross, Markus – International Educational Data Mining Society, 2016
The extraction of student behavior is an important task in educational data mining. A common approach to detect similar behavior patterns is to cluster sequential data. Standard approaches identify clusters at each time step separately and typically show low performance for data that inherently suffer from noise, resulting in temporally…
Descriptors: Student Behavior, Data Analysis, Behavior Patterns, Multivariate Analysis
van den Beemt, A.; Akkerman, S.; Simons, P. R. J. – Journal of Computer Assisted Learning, 2011
The intensive use of interactive media has led to assertions about the effect of these media on youth. Rather than following the assumption of a distinct Net generation, this study investigates diversity in interactive media use among youth. Results from a pilot study show that contemporary youth can be divided into clusters based on the use of…
Descriptors: Foreign Countries, Opinions, Factor Analysis, Internet
Bitsika, V.; Sharpley, C. F.; Orapeleng, S. – Journal of Intellectual Disability Research, 2008
Background: Autism spectrum disorder (ASD) includes symptoms that vary in severity and frequency between children. Consequently, multiple psychometric assessment procedures are recommended to detect an ASD, including scales which asses the presence and nature of ASD-related behaviour. However, to date, few studies have examined the relative and…
Descriptors: Elementary School Students, Preschool Children, Autism, Intelligence Tests
Maryland State Department of Education, 2008
Periodically, Maryland's sixth, eighth, tenth, and twelfth graders are surveyed to determine the nature, extent, and trend of alcohol, tobacco, and other drug (ATOD) use among adolescents. The "2007 Maryland Adolescent Survey (MAS)" presents the latest findings regarding ATOD use by Maryland's adolescents and compares State and local…
Descriptors: Neighborhoods, Marijuana, Prevention, Adolescents

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