Classical automated test assembly (ATA) methods assume fixed and known coefficients for the constraints and the objective function. This hypothesis is not true for the estimates of item response theory parameters, which are crucial elements in test assembly classical models. To account for uncertainty in ATA, we propose a chance-constrained…

Objective: Motivating clients to change the health behaviour, and maintaining an interest in exercise programmes, is an ongoing challenge for health educators. With new developments in technology, simulation and gaming are increasingly being considered as ways to motivate users, support learning and promote positive health behaviours. The purpose…

Combinatorial abilities are fundamental to experimental thinking. The aim of this work was to design didactic objects that will stimulate preschoolers' experimental thinking and to study young children's thinking in relation to these objects. Six heuristic rules for the design of didactic objects are specified, and the responses of 623 children…

How do people select among different strategies to accomplish a given task? Across disciplines, the strategy selection problem represents a major challenge. We propose a quantitative model that predicts how selection emerges through the interplay among strategies, cognitive capacities, and the environment. This interplay carves out for each…

Computerized adaptive testing (CAT) is a mode of testing which enables more efficient and accurate recovery of one or more latent traits. Traditionally, CAT is built upon Item Response Theory (IRT) models that assume unidimensionality. However, the problem of how to build CAT upon latent class models (LCM) has not been investigated until recently,…