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…

We discuss an emerging program of research on a particular aspect of mathematics learning, students' learning through their own mathematical activity as they engage in particular mathematical tasks. Prior research in mathematics education has characterized learning trajectories of students by specifying a series of conceptual steps through which…

A FINAL REPORT WAS MADE OF THE ACTIVITIES PURSUED IN PHASE 1 OF A 10-YEAR PROJECT DEALING WITH THE PSYCHOLOGICAL AND EDUCATIONAL FACTORS INVOLVED IN TRANSFER OF TRAINING. PHASE I CONSISTED OF A SURVEY OF THE EXISTENT DATA AND CONCEPTS OF TRANSFER OF TRAINING IN AN ATTEMPT (1) TO SUMMARIZE, INTEGRATE, CONSOLIDATE, AND INTERPRET RESEARCH FINDINGS…