For complex educational assessments, there is an increasing use of "item families," which are groups of related items. However, calibration or scoring for such an assessment requires fitting models that take into account the dependence structure inherent among the items that belong to the same item family. C. Glas and W. van der Linden…

Describes a procedure, called a full Bayesian procedure, for making decisions in connection with criterion-referenced measurements. The procedure uses continuous utility functions instead of a dichotomized utility structure and combines the posterior distribution for a certain person with utility functions for "advance" and "retain" decisions…

This article discusses situated cognition research and its impact on literacy studies concepts and instruction. It provides a brief historical comparison of cognitive psychology and situated cognition and emphasizes the importance of understanding the complex relationships that exist between learners, the settings in which they engage in cognitive…

The challenges of modeling students' performance in computer-based interactive assessments include accounting for multiple aspects of knowledge and skill that arise in different situations and the conditional dependencies among multiple aspects of performance. This article describes a Bayesian approach to modeling and estimating cognitive models…

The Individuals With Disabilities Education Act (IDEA) Amendments of 1997 mandate the use of functional behavioral assessment (FBA) and positive behavioral supports and interventions for students with disabilities. Although much progress has been made in our understanding of functional analysis over the past 15 years, the extent to which these…

Two psychometric models are presented for evaluating the difficulty of the distractors in multiple-choice items. They are based on the criterion of rising distractor selection ratios, which facilitates interpretation of the subject and item parameters. Statistical inferential tools are developed in a Bayesian framework: modal a posteriori…

Multi-indicator growth models were formulated as special three-level hierarchical generalized linear models to analyze growth of a trait latent variable measured by ordinal items. Items are nested within a time-point, and time-points are nested within subject. These models are special because they include factor analytic structure. This model can…

In an article published in the "International Education Journal" entitled "Beyond Educational Tourism: Lessons Learned While Student Teaching Abroad," Quezada (2005) provides an overview of the literature regarding student teaching abroad experiences. This article summarizes his literature review and applies the findings to a…

This paper presents a methodological approach based on Bayesian Networks for modelling the behaviour of the students of a bachelor course in computers in an Open University that deploys distance educational methods. It describes the structure of the model, its application for modelling the behaviour of student groups in the Informatics Course of…

The use of first and second person pronouns is an important indicator of how audiences are conceptualized by speakers and writers in academic discourse. Several grammarians and linguists have studied more or less specifically this part of the English language. Two of the most widely discussed aspects of pronouns are their reference and their…

This report describes new statistical procedures for item response analysis using estimation of item response curves used in mental testing with ability parameters treated as a random sample. Modern computer technology and the EM algorithm make this solution possible. The research focused on the theoretical formulation and solution of maximum…

Simple Bayesian approaches can be applied to answer specific questions in evaluating an individualized reading program. A small reading and study skills program located in the counseling center of a major research university collected and compiled data on student characteristics such as class, number of sessions attended, grade point average, and…

Revealing or visualizing the thinking involved in making clinical decisions is a challenge. A case study is presented with a visual implement for sharing the diagnostic process. This technique adapts the Bayesian approach to the case presentation. Pretest probabilities and likelihood ratios are gathered to obtain post-test probabilities of every…

This paper reports the results of a dual-task experiment which investigates the nature of working memory resources used in sentence comprehension. Participants read sentences of varying syntactic complexity (containing subject-and object-extracted relative clauses) while remembering one or three nouns (similar to or dissimilar from the…

Olae is a computer system for assessing student knowledge of physics, and Newtonian mechanics in particular, using performance data collected while students solve complex problems. Although originally designed as a stand-alone system, it has also been used as part of the Andes intelligent tutoring system. Like many other performance assessment…