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…

How should a wide variety of educational activities be sequenced to maximize student learning? Although some experimental studies have addressed this question, educational data mining methods may be able to evaluate a wider range of possibilities and better handle many simultaneous sequencing constraints. We introduce Sequencing Constraint…

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…