Curtin University

About: Curtin University is a education organization based out in Perth, Western Australia, Australia. It is known for research contribution in the topics: Population & Zircon. The organization has 14257 authors who have published 48997 publications receiving 1336531 citations. The organization is also known as: WAIT & Western Australian Institute of Technology.

Conceptual change: a discussion of theoretical, methodological and practical challenges for science education

Abstract: Conceptual change views of teaching and learning processes in science, and also in various other content domains, have played a significant role in research on teaching and learning as well as in instructional design since the late 1970s. An important issue is whether conceptual change can provide a powerful framework for improving instructional practice in such a way that students’ levels of scientific literacy are significantly increased. In this article, the first section provides an overview on the development of conceptual change perspectives. In sections two to six, we examine the different ways that researchers have facilitated the collection of data and empirically evaluated learning as conceptual change based on these different theoretical perspectives. In section seven, we identify key issues of conceptual change with a deliberate emphasis on their contribution to improve instructional practice and conclude the article by posing challenges at theoretical, methodological and practical levels. We contend that conceptual change perspectives still have the potential to significantly improve instructional practice. However, it becomes also evident that actual practice is far from what conceptual change perspectives propose and that change of this practice will be a rather difficult and long-lasting process.

Policy recognition in the abstract hidden Markov model

Abstract: In this paper, we present a method for recognising an agent's behaviour in dynamic, noisy, uncertain domains, and across multiple levels of abstraction. We term this problem on-line plan recognition under uncertainty and view it generally as probabilistic inference on the stochastic process representing the execution of the agent's plan. Our contributions in this paper are twofold. In terms of probabilistic inference, we introduce the Abstract Hidden Markov Model (AHMM), a novel type of stochastic processes, provide its dynamic Bayesian network (DBN) structure and analyse the properties of this network. We then describe an application of the Rao-Blackwellised Particle Filter to the AHMM which allows us to construct an efficient, hybrid inference method for this model. In terms of plan recognition, we propose a novel plan recognition framework based on the AHMM as the plan execution model. The Rao-Blackwellised hybrid inference for AHMM can take advantage of the independence properties inherent in a model of plan execution, leading to an algorithm for online probabilistic plan recognition that scales well with the number of levels in the plan hierarchy. This illustrates that while stochastic models for plan execution can be complex, they exhibit special structures which, if exploited, can lead to efficient plan recognition algorithms. We demonstrate the usefulness of the AHMM framework via a behaviour recognition system in a complex spatial environment using distributed video surveillance data.

A systematic review of adverse events arising from the use of synthetic cannabinoids and their associated treatment

Abstract: Context: Synthetic cannabinoids (SCs) such as “Spice”, “K2”, etc. are widely available via the internet despite increasing legal restrictions. Currently, the prevalence of use is typically low in the general community (<1%) although it is higher among students and some niche groups subject to drug testing. Early evidence suggests that adverse outcomes associated with the use of SCs may be more prevalent and severe than those arising from cannabis consumption. Objectives: To identify systematically the scientific reports of adverse events associated with the consumption of SCs in the medical literature and poison centre data. Method: We searched online databases (Medline, PsycInfo, Embase, Google Scholar and Pubmed) and manually searched reference lists up to December 2014. To be eligible for inclusion, data had to be from hospital, emergency department, drug rehabilitation services or poison centre records of adverse events involving SCs and included both self-reported and/or analytically confirme...