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…

Individuals of all ages extract structure from the sequences of patterns they encounter in their environment, an ability that is at the very heart of cognition. Exactly what underlies this ability has been the subject of much debate over the years. A novel mechanism, implicit chunk recognition (ICR), is proposed for sequence segmentation and chunk…

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,…