Intelligent tutoring and assessment built on an understanding of a technical problem-solving task

In this paper we describe Hydrive, an operational computer-based intelligent tutoring system built to help Air Force technicians develop generalizable skills for troubleshooting hydraulics systems. We use Hydrive as an example of how effective training and assessment is developed from a coherent understanding of a target task and how this understanding can be consistently represented in all aspects of a training/assessment instrument. We show how an organizing principle of expert behavior, active path analysis, is used to inform the design and content of the tutor's system, student and instructional models and the design of the tutor's interface. We conclude with information about Hydrive's field trial evaluation and some thoughts on knowledge acquisition and generalizability.     

Family rearing antecedents of pubertal timing

Two general evolutionary hypotheses were tested on 756 White children (397 girls) studied longitudinally: (1) rearing experiences would predict pubertal timing; and (2) children would prove differentially susceptible to rearing. Analysis of pubertal measurements, including some based on repeated physical assessments, showed that mothering and fathering, earlier and later in childhood, predicted pubertal development, but only for girls, with negative parenting appearing most influential; maternal harsh control predicted earlier menarche. Rearing effects varied by infant negative emotionality, proving stronger (and opposite) for girls who in infancy were lower rather than higher in negativity. Maternal menarche, controlled in all analyses, was a stronger predictor than rearing. Findings are discussed in terms of theory development, genetic and nutritional influences, and sample restrictions.     

The goals of science museums in the eyes of museum pedagogical staff

Today, science is a major part of Western culture. One advantage of informal learning environments is that they are (potentially) open to a wide range of populations with varying levels of interest and knowledge. Because of their informal nature, documenting learning has proven challenging. Studies that assess learning in museums, therefore, must employ theories of learning that encompass a more complex view of what learning is. This qualitative study was conducted with a population of high-level pedagogical staff from museums in Israel, Europe and the USA. Its purpose was to characterise staff perception of the goals of science museums and how these goals are manifested in the exhibits. Interviews with 17 staff revealed a wide range of goals that come into play in the different science museums. Findings suggest that the pedagogical staff perceive the science museum’s goals as being to change public views regarding science, promote science education, and reduce disparities between populations. According to museum staff, science museums have an important role in changing visitors’ approach towards science, as well as providing an additional source of science education.     

Multiple-Choice Models: The Distractors Are Also Part of the Item

This paper describes an item response model for multiple-choice items and illustrates its application in item analysis. The model provides parametric and graphical summaries of the performance of each alternative associated with a multiple-choice item; the summaries describe each alternative's relationship to the proficiency being measured. The interpretation of the parameters of the multiple-choice model and the use of the model in item analysis are illustrated using data obtained from a pilot test of mathematics achievement items. The use of such item analysis for the detection of flawed items, for item design and development, and for test construction is discussed.