One of the essential problems, in educational data mining, is to predict students' performance on future learning materials, such as problems, assignments, and quizzes. Pioneer algorithms for predicting student performance mostly rely on two sources of information: students' past performance, and learning materials' domain knowledge model. The…

We present a quantitative model for predicting the level of difficulty subjects will experience with specific problems. The model explicitly accounts for the number of subproblems a problem can be broken into and the difficultly of each subproblem. Although the model builds on previously published models, it is uniquely suited for blending with…

The problem posed by this study was to determine a method of presenting information that would maximize learning, by taking into account the learner's conceptual tempo, one aspect of his cognitive style. Specifically, this study investigated the possible interaction effects of the learner's impulsive-reflective disposition with the rehearsal part…

This paper presents a general framework for the process of answering questions from memory. The focus is primarily on verification and recognition tasks. Six experiments support the assumptions of the proposed framework. The experiments are designed to address the following categories of inquiry: (1) Can we adjust our strategy preference to mirror…

A perspective on teaching and learning in higher education that regards the learner's experience as primary is outlined. Some propositions about learning from experience are made, a model of learning from experience is discussed, and implications for instructional design are examined. Major areas for curriculum development are identified.…

Describes two experiments, one with undergraduates and one with high school students, that tested instructional strategies for teaching computer programing. The cognitive styles of impulsivity and reflection are examined, completion strategy versus generation strategy is tested, and results support a preferential model rather than a compensatory…