Intelligent tutoring systems yield data with many properties that render it potentially ideal to examine using multi-level models (MLM). Repeated observations with dependencies may be optimally examined using MLM because it can account for deviations from normality. This paper examines the applicability of MLM to data from the intelligent tutoring…

This large-scale effectiveness trial found a significant positive effect for high schools using Cognitive Tutor Algebra I (CTAI) in their second year of implementation, relative to similar schools that continued to use existing textbook-based algebra curricula. This positive result is important for educators and policymakers seeking ways to…

Identifying the types of mathematics content knowledge that are most predictive of students' long-term learning is essential for improving both theories of mathematical development and mathematics education. To identify these types of knowledge, we examined long-term predictors of high school students' knowledge of algebra and overall mathematics…

The researchers conducted an analysis of the secondary transition qualitative and quantitative research literature to build comprehensive constructs and lists of student nonacademic behaviors associated with post-high school employment and education. From a pool of 83 initial quantitative and qualitative studies, 35 met the inclusion criteria, and…

Learning in educational settings emphasizes declarative and procedural knowledge. Studies of expertise, however, point to other crucial components of learning, especially improvements produced by experience in the extraction of information: perceptual learning (PL). We suggest that such improvements characterize both simple sensory and complex…