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…

A sequential testing model is proposed which employs discriminant functions to classify examinees into groups which could correspond to instructional treatments. A termination rule based on the computed posterior probability of group membership is suggested. (Author)

Translating social studies objectives into learnable tasks for students in the classroom involves understanding what a learning activity is, and that different types of learning activities serve different functions. An example of a learning activity sequence which includes four catagories of activities--intake, organizational, demonstrative, and…

The present exclusive and pervasive interest in the internal validity of learning hierarchy experiments and four methods for generating candidates for learning hierarchies are reviewed. The author poses questions about the external validity of learning hierarchy research--whether for instance, any instructional sequence might equal one suggested…

Benjamin Bloom's "Taxonomy of Educational Objectives" can be used effectively to develop and evaluate a sequential secondary-school curriculum in literature, regardless of the school's content emphasis or curricular philosophy. The two available volumes of the "Taxonomy"--dealing with the cognitive domain of knowledge, skills,…