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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
Rahmlow, Harold F. – 1969
The Program for Learning in Accordance with Needs (PLAN) was devised to be self-improving through a system of computer analysis of student performance data. The PLAN instructional program consists of teaching-learning units in various subject areas, such as reading and science, which are composed of self-paced alternative learning activities,…
Descriptors: Academic Achievement, Computers, Data Analysis, Educational Strategies
