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Download full textYe, Cheng; Segedy, James R.; Kinnebrew, John S.; Biswas, Gautam – International Educational Data Mining Society, 2015
This paper discusses Multi-Feature Hierarchical Sequential Pattern Mining, MFH-SPAM, a novel algorithm that efficiently extracts patterns from students' learning activity sequences. This algorithm extends an existing sequential pattern mining algorithm by dynamically selecting the level of specificity for hierarchically-defined features…
Descriptors: Learning Activities, Learning Processes, Data Collection, Student Behavior
Komulainen, Erkki – 1973
The Instructional Process Analysis Project (IPA) is a study jointly undertaken by the Nordic countries in 1967. The present study discusses a methodological problem area of very narrow scope within the IPA project. The general aim of the study is to examine the factor-analytical method of sequence analysis and to produce variables that measure the…
Descriptors: Behavior Standards, Factor Analysis, Instruction, Interaction Process Analysis
McKeen, Ronald L.; Eisenberg, Theodore A. – Improving Human Performance, 1973
A discussion of student-generated hierarchies developed for a mathematics objective by several small groups and validated on a second group. About 40 percent of the student-generated hierarchies were validated indicating that student input can be obtained to produce useful learning hierarchies. (Author)
Descriptors: Curriculum Design, Educational Research, Learning Processes, Learning Theories
