An approach to task analysis is described and illustrated that emphasizes organizational function, job and task accomplishments, a model of job function, performer prerequisites, and multiple purpose job analysis. (JEG)

Discusses task analysis as a step in instructional development and presents an alternative method for instructional applications called Knowledge Analysis of Tasks (KAT). Results of KAT are used to produce a model of tasks in terms of Task Knowledge Structures (TKS), which represent the knowledge people possess about tasks they perform.…

The present study investigated whether the balance of neighborhood distribution (i.e., the way orthographic neighbors are spread across letter positions) influences visual word recognition. Three word conditions were compared. Word neighbors were either concentrated on one letter position (e.g.,nasse/basse-lasse-tasse-masse) or were unequally…

Background: Noise is typically conceived of as being detrimental to cognitive performance. However, given the mechanism of stochastic resonance, a certain amount of noise can benefit performance. We investigate cognitive performance in noisy environments in relation to a neurocomputational model of attention deficit hyperactivity disorder (ADHD)…

The nature of persisting spreading activation from list presentation in eliciting false recognition in the Deese-Roediger-McDermott (DRM) paradigm was examined in two experiments. We compared the time course of semantic priming in the lexical decision task (LDT) and false alarms in speeded recognition under identical study and test conditions. The…

The purpose of this study is to apply the attribute hierarchy method (AHM) to a sample of SAT algebra items administered in March 2005. The AHM is a psychometric method for classifying examinees' test item responses into a set of structured attribute patterns associated with different components from a cognitive model of task performance. An…

In this article, the authors consider optimal decision making in two-alternative forced-choice (TAFC) tasks. They begin by analyzing 6 models of TAFC decision making and show that all but one can be reduced to the drift diffusion model, implementing the statistically optimal algorithm (most accurate for a given speed or fastest for a given…

In 6 task-cuing experiments, with 2 cues per task, the authors varied cue-stimulus interval to investigate G. D. Logan and C. Bundesen's (2003) claim that when cue repetition is controlled for, task-switch cost and its reduction with preparation are largely eliminated and hence cannot index an endogenous control process. Experiment 1 replicates…

Compatibility level repetition benefits in interference paradigms have been taken to reflect enhanced processing selectivity in response to cognitive conflict elicited by a task-irrelevant stimulus feature. The authors demonstrate such sequential effects in the Simon task which (a) occur independent of previous behavioral conflict effects and (b)…

Describes the elaboration model of instruction and the six major steps for implementing it. (JEG)

Research on cognitive modeling of information search and Web navigation emphasizes the importance of "information scent" (the relevance of semantic cues such as link labels and headings to a reader's goal; Pirolli & Card, 1999). This article shows that not only semantic but also structural knowledge is involved in navigating the Web…

We study human decision making in a simple forced-choice task that manipulates the frequency and accuracy of available information. Empirically, we find that people make decisions consistent with the advice provided, but that their subjective confidence in their decisions shows 2 interesting properties. First, people's confidence does not depend…

A computer simulation model was fitted to human laboratory data for the Missionaries and Cannibals task to explain the effects upon problem performance of giving a hint and the effect of solving problems a second time after a successful solution has been achieved. (Author/DEP)

Discusses ways to devise training methods to improve students' learning abilities, specifically in rote recall, evaluation of the learning task, summarization, and learning from the text. (EF)

Presents a four-step model for learning task analysis that is based on empirical and theoretical footings: (1) identification of instructional goals/tasks, (2) specification of behavioral contributors, (3) classification of contributors into learning domains, and (4) application of varying analytical procedures to tasks in each domain. (Author)