Composite scores are an exceptionally important psychometric tool for behavioral science research applications. A prototypical example occurs with self-report data, where researchers routinely use questionnaires with multiple items that tap into different features of a target construct. Item-level missing data are endemic to composite score…

Team projects allow students to apply their technical skills to a real-world context and build twenty-first century competencies, including teamwork, project management and communication skills. However, the complex challenges that such experiential learning projects present for students and faculty can limit the scale of implementation. This…

This paper reports on the evaluation of an ambitious attempt to embed academic literacy support within a core content course for first-year students at the University of the South Pacific. The course is offered in both blended and online modes, catering for on-campus and off-campus students, respectively, using Moodle as the virtual learning…

Among the unique affordances of digital simulations are changes in the possibilities for targets as well as the methods of assessment, most significantly, toward integration of thinking with action, embedding of tasks-as-performance of knowledge-in-action, and unobtrusive observational methods. This paper raises and briefly defines key data…

This article sets out to explore a shift in the sources of evidence-of-learning in the era of networked computing. One of the key features of recent developments has been popularly characterized as "big data". We begin by examining, in general terms, the frame of reference of contemporary debates on machine intelligence and the role of…

The purpose of this study was to examine how school psychologists implemented the problem-solving consultation process within a computer-simulated school environment. Four school psychologists were recruited to complete three simulated consultation cases. The school environment was computer generated and all of the teachers and target students…

The "Technology Outlook for STEM+ Education 2012-2017" reflects a collaborative effort between the New Media Consortium (NMC), the Centro Superior para la Enseñanza Virtual (CSEV), Departamento de Ingeniería Eléctrica, Electrónica y de Control at the Universidad Nacional de Educación a Distancia (UNED), and the Institute of Electrical…

This paper examines how pre-university students shared and constructed knowledge in the context of GP (general paper) by interacting through individual virtual characters across five cycles of enactive role play sessions. Contextualized scenarios on the topic of euthanasia were developed in "Second Life". Role-playing the virtual characters…

Purpose: The purpose of this paper is to evaluate learners' attitudes to the use of simulation-based e-learning as part of workplace learning when socially situated interaction and blended learning are specifically included in the instructional design. Design/methodology/approach: Responses to a survey questionnaire of 298 sales personnel were…

Educational software tools are considered to enrich teaching strategies, providing a more compelling means of exploration and feedback than traditional blackboard methods. Moreover, software simulators provide a more motivating link between theory and practice than pencil-paper methods, encouraging active and discovery learning in the students.…

This study described the conceptual understandings of 50 early childhood (Pre-K-3) preservice teachers about standards-based lunar concepts before and after inquiry-based instruction utilizing educational technology. The instructional intervention integrated the planetarium software "Starry Night Backyard[TM]" with instruction on moon phases from…

Interactive digital video enables computer visualization techniques that help students to collect, analyze, and model two-dimensional motion data. This article describes and evaluates five activities developed for the physics classroom with the use of this technology in mind. Activities explore concepts such as space, time, frames of reference,…

The assessment of dimensionality of data is important to item response theory (IRT) modelling and other multidimensional data analysis techniques. The fact that the parameters from the factor analysis formulation for dichotomous data can be expressed in terms of the parameters in the multidimensional IRT model suggests that the assessment of the…

Satisfactory results for interpersonally incomparable ordinal survey responses can be obtained by assuming that rankings are based upon a set of multivariate normal latent variables that satisfy factor or ideal point models of choice. Two statistical methods based upon those assumptions are described and illustrated via simulations. (TJH)

Seven data sets (namely, clinical data on children) were subjected to clustering by seven algorithms--the B-coefficient, Linear Typal Analysis; elementary linkage analysis, Numerical Taxonomy System, Statistical Analysis System hierarchical clustering method, Taxonomy, and Bolz's Type Analysis. The little-known B-coefficient method compared…