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A Contextualized, Differential Sequence Mining Method to Derive Students' Learning Behavior Patterns
Kinnebrew, John S.; Loretz, Kirk M.; Biswas, Gautam – Journal of Educational Data Mining, 2013
Computer-based learning environments can produce a wealth of data on student learning interactions. This paper presents an exploratory data mining methodology for assessing and comparing students' learning behaviors from these interaction traces. The core algorithm employs a novel combination of sequence mining techniques to identify deferentially…
Descriptors: Data Analysis, Middle School Students, Information Retrieval, Student Behavior
Barron, Ian G.; Topping, Keith J. – Journal of Child Sexual Abuse, 2013
Internationally, efficacy studies of school-based child sexual abuse prevention programs display a series of methodological shortcomings. Few studies include adolescent participants, recording of disclosures has been inconsistent, and no studies to date have assessed presenter adherence to program protocols or summated the costs of program…
Descriptors: Sexual Abuse, Child Abuse, Prevention, Program Evaluation