Study abroad programs represent an effective way to enhance student learning and development in business higher education, especially in international business, marketing, and trade. However, in the face of disruptors and barriers that affect a student's ability to travel internationally, virtual study abroad (VSA) programs can be a more…

Neurodiverse students in college are not only an often marginalized population on campus, but face numerous challenges when pursuing a degree. Innovative teaching and learning practices may help neurodiverse students with such challenges. Second Life (SL), an online virtual world, has been used as an educational platform both inside and outside…

As people attach increasing importance to the learning environment and design of teaching materials in STEM, how to design teaching materials that enable students to seamlessly integrate the learning of scientific investigation, engineering design, mathematical reasoning, and technical skills has become increasingly important. The purpose of this…

Background: Modeling and simulation practices have become commonplace in modern engineering, but in-depth research on the development of modeling and simulation expertise is needed to identify the learning processes involved in successfully acquiring these skills. Purpose: This study investigated student dimensions of expertise when engaged in…

In meta-analytic studies, there are often multiple moderators available (eg, study characteristics). In such cases, traditional meta-analysis methods often lack sufficient power to investigate interaction effects between moderators, especially high-order interactions. To overcome this problem, meta-CART was proposed: an approach that applies…

This paper addresses a common challenge with computational cognitive models: identifying parameter values that are both theoretically plausible and generate predictions that match well with empirical data. While computational models can offer deep explanations of cognition, they are computationally complex and often out of reach of traditional…

Computer modeling promotes mechanistic reasoning when learners build and analyze models of complex systems to explore causal mechanisms and use models to generate patterns. StarLogo Nova (SLN), an agent-based modeling (ABM) environment, enables novice programmers to model a system's individual components and investigate its emergent, collective…

Although many studies have focused on aggression or visual-spatial cognition effects of video games, the problem-solving aspects have been largely ignored. This study sought to expand the existing literature on video game effects by focusing on a rarely-tested outcome: creative production. As a game with few rules and a high amount of player…

A growing body of research suggests that growth in early literacy skills, including letter sound fluency, is predictive of later reading outcomes. In turn, educators and school psychologists use measures of letter sound fluency to monitor student response to early reading instruction. Limited research has evaluated whether decision-making…

A maximum marginal likelihood estimation with an expectation-maximization algorithm has been developed for estimating multigroup or mixture multidimensional item response theory models using the generalized partial credit function, graded response function, and 3-parameter logistic function. The procedure includes the estimation of item…

Learning introductory quantum physics is challenging, in part due to the different paradigms in classical mechanics and quantum physics. Classical mechanics is deterministic in that the equations of motion and the initial conditions fully determine a particle's trajectory. Quantum physics is an inherently probabilistic theory in that only…

Calibration of an item bank for computer adaptive testing requires substantial resources. In this study, we investigated whether the efficiency of calibration under the Rasch model could be enhanced by improving the match between item difficulty and student ability. We introduced targeted multistage calibration designs, a design type that…

Digitally simulated laboratory assessments (DSLAs) may be used to measure competencies such as problem solving and scientific inquiry because they provide an environment that allows the process of learning to be captured. These assessments provide many benefits that are superior to traditional hands-on laboratory tasks; as such, it is important to…

Advancements in item response theory (IRT) have led to models for dual dependence, which control for cluster and method effects during a psychometric analysis. Currently, however, this class of models does not include one that controls for when the method effects stem from two method sources in which one source functions differently across the…

Collaborative problem solving (CPS) has been deemed a critical twenty-first century competency for a variety of contexts. However, less attention has been given to work aimed at the assessment and acquisition of such capabilities. Recently large scale efforts have been devoted toward assessing CPS skills, but there are no agreed upon guiding…