Technological advances have created amazing opportunities for people throughout the world to access and share information. These opportunities have helped to create a generation of young adolescents who want to make the most of each minute of the day, seizing opportunities to seek information and communicate at the same time. This generation is…

It was found in the two-year study reported in this article that a single collaborative language lesson using "Second Life" can result in a statistically significant increase in student self-efficacy beliefs across a range of specific and general language skills. However, students with different "real life" prior experience…

Pressures in terms of the availability of quality, real-life clinical experiences for students have resulted in increased interest in the use of simulation in a variety of healthcare disciplines. "Te wahi whanau: The birth place" is a Virtual Birth Centre (VBC) that was created in "Second Life" in 2009 as part of the Second…

The popularity of simulators to augment training programs for operators of heavy machinery has been growing across several industries including mining, rail and more recently construction. High-fidelity, interactive simulation is typically achieved through complete immersion in brief, stressful and complex VR scenarios. The use of simulation…

This research study assessed the effectiveness of a three-dimensional mathematics game, DimensionM, through a pretest-posttest control group quasi-experimental design. Participants consisted of 437 eighth graders. The classrooms were randomly assigned either to the treatment group that utilized DimensionM as a supplement to regular classroom…

Experiential learning allows students to connect previous experiences with new ideas. Second Life (SL) is a virtual world that allows students to simulate real-world experiences. SL was utilized as an educational tool in an agricultural risk and crisis communications course. Weekly journal entries pertaining to the SL simulation were analyzed to…

This study addressed 2 issues of using loglinear models for smoothing univariate test score distributions and for enhancing the stability of equipercentile equating functions. One issue was a comparative assessment of several statistical strategies that have been proposed for selecting 1 from several competing model parameterizations. Another…

A cyclical conditional maximum likelihood estimation procedure is developed for the multidimensional unfolding of two- or three-way dominance data (e.g., preference, choice, consideration) measured on ordered successive category rating scales. The technical description of the proposed model and estimation procedure are discussed, as well as the…

Reports an error in "Confidence intervals for gamma-family measures of ordinal association" by Carol M. Woods (Psychological Methods, 2007[Jun], Vol 12[2], 185-204). The note corrects simulation results presented in the article concerning the performance of confidence intervals (CIs) for Spearman's r-sub(s). An error in the author's C++ code…

Theories of choice in economics typically assume that interacting agents act individualistically and maximize their own utility. Specifically, game theory proposes that rational players should defect in one-shot prisoners' dilemmas (PD). Defection also appears to be the inevitable outcome for agents who learn by reinforcement of past choices,…

A model of cognitive control in task switching is developed in which controlled performance depends on the system maintaining access to a code in episodic memory representing the most recently cued task. The main constraint on access to the current task code is proactive interference from old task codes. This interference and the mechanisms that…

In multilevel modeling (MLM), group-level (L2) characteristics are often measured by aggregating individual-level (L1) characteristics within each group so as to assess contextual effects (e.g., group-average effects of socioeconomic status, achievement, climate). Most previous applications have used a multilevel manifest covariate (MMC) approach,…

People often make inferences with incomplete information. Previous research has led to a mixed picture of how people treat missing information. To explain these results, the authors follow the Brunswikian perspective on human inference and hypothesize that the mechanism's accuracy for treating missing information depends on how it is distributed…

Factor mixture models are latent variable models with categorical and continuous latent variables that can be used as a model-based approach to clustering. A previous article covered the results of a simulation study showing that in the absence of model violations, it is usually possible to choose the correct model when fitting a series of models…

This study investigated how students' knowledge of a particular domain influences the type of investigative strategy they utilize in an inquiry learning task within that domain. Students with high domain knowledge were assumed to employ a theory-driven strategy, whereas less knowledgeable students were expected to start off in a data-driven mode…