Learner modeling is a basis of personalized, adaptive learning. The research literature
provides a wide range of modeling approaches, but it does not provide guidance for …

Educational data mining (EDM) is an emerging interdisciplinary research area that deals
with the development of methods to explore data originating in an educational context. EDM …

ASSISTments is a web-based math tutor designed to address the need for timely student
assessment while simultaneously providing instruction, thereby avoiding lost instruction time …

Intelligent tutoring systems that utilize Bayesian Knowledge Tracing (KT) have the ability to
predict student performance well. However, models currently in use do not consider that a …

The largest standardized tests (such as the SAT or GRE) are what psychometricians call
“unidimensional” in that they are analyzed as if all the questions are tap** a single latent …

Secondary teachers across the country are being asked to use formative assessment data to
inform their classroom instruction. At the same time, critics of No Child Left Behind are …

A standing question in the field of Intelligent Tutoring Systems and User Modeling in general
is what is the appropriate level of model granularity (how many skills to model) and how is …

Multi skill scenarios are common place in real world problems and Intelligent Tutoring
System questions alike, however, system designers have often relied on ad-hoc methods for …

Adaptive learning systems need large pools of examples for practice—thousands of items
that need to be organized into hundreds of knowledge components within a domain model …

Limited classroom time available in middle school mathematics classes forces teachers to
choose between assisting students' development and assessing students' abilities. To help …