Simulation is a pedagogy that has been widely used in a number of educational settings (e.g., aviation, transport, social work, nursing education). While it can take numerous forms, it often involves an assortment of high-tech equipment (e.g., flight simulators, manikins) that seek to replicate real settings. Specifically, this paper provides an…

Public financing of privately provided child care can allow for access to these services in places where public provision and capacity are low. However, the mechanisms of subsidy delivery will affect who benefits, and the overall cost-effectiveness of such subsidies. This paper sets out an ex-ante simulation model for estimating the benefit…

A low-cost solar simulator using a LCD projector as a light source has been developed and tested successfully. The prepared simulator has an illumination spectral at the visible light region and is controllable using a computer. The prepared simulator with controllable spectral filter was used to utilize the current-voltage (I-V) measurement for…

This real-data-guided simulation study systematically evaluated the decision accuracy of complex decision rules combining multiple tests within different realistic curricula. Specifically, complex decision rules combining conjunctive aspects and compensatory aspects were evaluated. A conjunctive aspect requires a minimum level of performance,…

Healthcare professionals are responsible for providing education to both healthcare consumers and the peers with whom they work. As such, specific teaching skills must be developed during prelicensure training to facilitate the transition from classroom to clinical practise. The realistic environment that simulation-based learning (SBL) activities…

Pathophysiology describes and explains the physiological dysfunctions that occur in human diseases. Pathophysiology is content heavy, often leading to medical/biomedical science students adopting a surface approach to learning. To encourage more engagement, we developed clinical simulation practical classes using manikin patients. Students…

This qualitative descriptive study explored the value of games as pedagogical tools to teach team working and foster collaborative learning in a higher education classroom. Groups of three or four students (n = 181) were asked to participate in a simple low-tech serious game which required them to solve a puzzle. The puzzle simulated 'good'…

Drawing on elements of self-determined learning or heutagogy, the graduate employability impact of the UK's leading Universities Business Challenge (UBC) competition is investigated over a five year period of from 2012-17. A central research question was addressed, namely: "what do inter-university business simulations, such as the UBC,…

Models of creative problem solving are predicated upon mental states to explain everything from the outcome of problem-solving experiments to the emergence of artistic creativity. We present two converging perspectives that describe a profoundly different ontological description of creativity. Our analysis proceeds from a distinction between…

An application for visualizing the dynamic properties of an equimolar binary mixture of isotropic reactive particles is presented. By introducing a user selectable choice for the activation energy, the application is useful to demonstrate qualitatively that the reaction rate depends on the above choice and on temperature. The application is based…

Three intrastate universities developed a corporate social responsibility (CSR) simulation in an upper-division, undergraduate online markets and stakeholders class. The simulation engaged students in serving as business leaders in a community devastated by an earthquake. The students selected business leadership roles within the simulation based…

Hypothesis generation is an important but difficult process for students. This study investigated the effects of providing students with support for hypothesis generation, with regard to the testability and complexity of the generated hypotheses, the quality of the subsequent inquiry learning processes and knowledge acquisition. Fifty-two…

We present the design of a citizen science system that uses machine learning to guide the presentation of image classification tasks to newcomers to help them more quickly learn how to do the task while still contributing to the work of the project. A Bayesian model for tracking volunteer learning for training with tasks with uncertain outcomes is…

Traditional psychometric guidelines suggest that at least several hundred respondents are needed to obtain accurate parameter estimates under the Rasch model. However, recent research indicates that Rasch equating results in accurate parameter estimates with sample sizes as small as 25. Item parameter drift under the Rasch model has been…

This pretest/posttest study investigated the effectiveness of an interdisciplinary program in which occupational therapists and speech-language pathologists used a combination of video modeling, scenario-based learning, guided discussion, and reflection on the development of interpersonal skills and work readiness among students with disabilities.…