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A Contextualized, Differential Sequence Mining Method to Derive Students' Learning Behavior Patterns
Peer reviewed
Download full textKinnebrew, 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
DelForge, Clarence; Bloeser, Alfred E. – 1977
Low scores on the Iowa Test of Basic Skills Mathematics Sub-Test went up considerably among students who made daily use of Computer-Assisted Instruction (CAI) at the Log Cabin Elementary School in Jackson County, North Carolina. Students who were in the lower 45% of a class in mathematics achievement were scheduled for daily ten-minute exposure to…
Descriptors: Basic Skills, Cognitive Development, Computer Assisted Instruction, Computers
