Influencing pre-service teachers, skills and attitudes towards diversity. Is DOL the Answer?

Abstract: This paper reports on a preliminary investigation into the success of an undergraduate course, in helping preservice teachers at a regional university develop the skills and attitudes necessary to design inclusive learning environments that cater for, and celebrate, difference. The study is particularly relevant given recommendations by the Education Queensland Ministerial Taskforce (Queensland Government, 2004) that all pre-service teacher education programs must ensure that inclusive education is a pervasive theme. The paper starts by providing an overview of inclusive contexts and a rationale for inclusive education including critical elements. This leads into an overview of the undergraduate course EDED11400 Managing Diversity and discussion, based on feedback from the teaching team, on the capacity for the course to help pre-service teachers develop inclusive curriculum and pedagogical practices. The pedagogical framework Dimensions of Learning* is then discussed, with consideration given to whether this framework with its focus on critical thinking and habits of mind, might improve future learning outcomes in the course EDED11400 Managing Diversity. (*Dimensions of Learning is a pedagogical framework designed to teach thinking skills (Marzano et al., 1988). It explores five types of thinking represented in the framework by five dimensions of learning.)

A design approach to teaching new product development

The educational unit new product development, taught within the industrial design program at the Queensland University of Technology (QUT) introduces the relationship between product design and commercialisation to third year industrial design undergraduate students. In which, they are exposed for the first time to product strategy development aimed at meeting consumer expectations, whilst at the same time achieving corporate objectives. Delivered content such as intellectual property, market opportunities, competitor analysis and investor requirements are taught within the thirteen week semester timeframe. New product development theory is not a new field. However, the design approach to teaching this theory and more importantly how designers can use it in the design process is novel. This paper provides an overview of the curriculum design of this unit as well as its incremental development over the past four year duration period. Student project outcomes and more importantly the process and tools from this unit are also discussed and presented.

Leadership and the rise of the corporate psychopath: What can business schools do about the ‘snakes inside’?

Purpose: Leadership styles are reviewed and reassessed given recent research that links destructive leadership behaviours exhibited by unscrupulous executives with traits commonly identified as indicators of corporate psychopathy. Method/approach: A review of the literature describing the various theories dealing with the nature of leadership styles and the rise of interest in corporate psychopathy and destructive leadership. Implications: This paper offers a psychological perspective for future research which provides both impetus and additional support for further analysis and exploration of such leadership styles in the business environment. One distinct advantage of this extrapolation is the articulation of insights into aspects of decision making by leaders, providing further insight into the formulation of leadership development programs in organisations and courses in business schools training future leaders.

Knowing and teaching the indigenous other : teachers’ engagement with Aboriginal and Torres Strait Islander cultures

This is the first empirical study of teacher knowledge and classroom practice in Aboriginal and Torres Strait Islander education. It describes the construction of a survey instrument to measure non-Indigenous Australian teachers’ knowledge of Indigenous culture and place, frequency of everyday intercultural exchanges, and attempts to integrate Indigenous knowledge into classroom practice. Many teachers reported low levels of knowledge of Indigenous cultures, and limited encounters outside of school. While the cohort expressed dissatisfaction with pre-service training, exposure to pre- and in-service courses in Indigenous education correlated with higher levels of cultural knowledge and cultural engagement. Teachers with higher levels of cultural engagement were more likely to attempt to integrate Indigenous knowledges in curriculum and pedagogy.

Preparing the next generation of HRM professionals : an international comparison of tertiary HRM programs

The future of the HRM profession depends to at least some extent on the quality of preparation of the next generation of HR professionals. This paper examines bachelor degree programs in HRM and the role of professional associations as influencers of curricula. Some 39% of the 599 AACSB and EQUIS-accredited institutions sampled offer undergraduate degrees in HRM. The programs vary in emphasis on HRM competencies. Unsurprisingly, all include foundation work (perhaps a third of the content) in business management. Grouping degree content by regions globally allows benchmarking of degrees against international trends, along with consideration of the increasingly significant influence on curricula by professional bodies, in preparing the next generation of HRM practitioners to manage in organisations that will require strategic thinking, specialist technical skills, and interpersonal competence.

Curriculum design and higher order skills : challenging assumptions

This paper is based on an Australian Learning & Teaching Council (ALTC) funded evaluation in 13 universities across Australia and New Zealand of the use of Engineers Without Borders (EWB) projects in first-year engineering courses. All of the partner institutions have implemented this innovation differently and comparison of these implementations affords us the opportunity to assemble "a body of carefully gathered data that provides evidence of which approaches work for which students in which learning environments". This study used a mixed-methods data collection approach and a realist analysis. Data was collected by program logic analysis with course co-ordinators, observation of classes, focus groups with students, exit survey of students and interviews with staff as well as scrutiny of relevant course and curriculum documents. Course designers and co-ordinators gave us a range of reasons for using the projects, most of which alluded to their presumed capacity to deliver experience in and learning of higher order thinking skills in areas such as sustainability, ethics, teamwork and communication. For some students, however, the nature of the projects decreased their interest in issues such as ethical development, sustainability and how to work in teams. We also found that the projects provoked different responses from students depending on the nature of the courses in which they were embedded (general introduction, design, communication, or problem-solving courses) and their mode of delivery (lecture, workshop or online).

Teaching creatively, teaching for creativity : QUT’s Creative Industries Faculty Showcase Panel

In this panel, we showcase approaches to teaching for creativity in disciplines of the Media, Entertainment and Creative Arts School and the School of Design within the Creative Industries Faculty (CIF) at QUT. The Faculty is enormously diverse, with 4,000 students enrolled across a total of 20 disciplines. Creativity is a unifying concept in CIF, both as a graduate attribute, and as a key pedagogic principle. We take as our point of departure the assertion that it is not sufficient to assume that students of tertiary courses in creative disciplines are ‘naturally’ creative. Rather, teachers in higher education must embrace their roles as facilitators of development and learning for the creative workforce, including working to build creative capacity (Howkins, 2009). In so doing, we move away from Renaissance notions of creativity as an individual genius, a disposition or attribute which cannot be learned, towards a 21st century conceptualisation of creativity as highly collaborative, rhizomatic, and able to be developed through educational experiences (see, for instance, Robinson, 2006; Craft; 2001; McWilliam & Dawson, 2008). It has always been important for practitioners of the arts and design to be creative. Under the national innovation agenda (Bradley et al, 2008) and creative industries policy (e.g., Department for Culture, Media and Sport, 2008; Office for the Arts, 2011), creativity has been identified as a key determinant of economic growth, and thus developing students’ creativity has now become core higher education business across all fields. Even within the arts and design, professionals are challenged to be creative in new ways, for new purposes, in different contexts, and using new digital tools and platforms. Teachers in creative disciplines may have much to offer to the rest of the higher education sector, in terms of designing and modelling innovative and best practice pedagogies for the development of student creative capability. Information and Communication Technologies such as mobile learning, game-based learning, collaborative online learning tools and immersive learning environments offer new avenues for creative learning, although analogue approaches may also have much to offer, and should not be discarded out of hand. Each panelist will present a case study of their own approach to teaching for creativity, and will address the following questions with respect to their case: 1. What conceptual view of creativity does the case reflect? 2. What pedagogical approaches are used, and why were these chosen? What are the roles of innovative learning approaches, including ICTs, if any? 3. How is creativity measured or assessed? How do students demonstrate creativity? We seek to identify commonalities and contrasts between and among the pedagogic case studies, and to answer the question: what can we learn about teaching creatively and teaching for creativity from CIF best practice?

Bayesian algorithms with applications

Advances in algorithms for approximate sampling from a multivariable target function have led to solutions to challenging statistical inference problems that would otherwise not be considered by the applied scientist. Such sampling algorithms are particularly relevant to Bayesian statistics, since the target function is the posterior distribution of the unobservables given the observables. In this thesis we develop, adapt and apply Bayesian algorithms, whilst addressing substantive applied problems in biology and medicine as well as other applications. For an increasing number of high-impact research problems, the primary models of interest are often sufficiently complex that the likelihood function is computationally intractable. Rather than discard these models in favour of inferior alternatives, a class of Bayesian "likelihoodfree" techniques (often termed approximate Bayesian computation (ABC)) has emerged in the last few years, which avoids direct likelihood computation through repeated sampling of data from the model and comparing observed and simulated summary statistics. In Part I of this thesis we utilise sequential Monte Carlo (SMC) methodology to develop new algorithms for ABC that are more efficient in terms of the number of model simulations required and are almost black-box since very little algorithmic tuning is required. In addition, we address the issue of deriving appropriate summary statistics to use within ABC via a goodness-of-fit statistic and indirect inference. Another important problem in statistics is the design of experiments. That is, how one should select the values of the controllable variables in order to achieve some design goal. The presences of parameter and/or model uncertainty are computational obstacles when designing experiments but can lead to inefficient designs if not accounted for correctly. The Bayesian framework accommodates such uncertainties in a coherent way. If the amount of uncertainty is substantial, it can be of interest to perform adaptive designs in order to accrue information to make better decisions about future design points. This is of particular interest if the data can be collected sequentially. In a sense, the current posterior distribution becomes the new prior distribution for the next design decision. Part II of this thesis creates new algorithms for Bayesian sequential design to accommodate parameter and model uncertainty using SMC. The algorithms are substantially faster than previous approaches allowing the simulation properties of various design utilities to be investigated in a more timely manner. Furthermore the approach offers convenient estimation of Bayesian utilities and other quantities that are particularly relevant in the presence of model uncertainty. Finally, Part III of this thesis tackles a substantive medical problem. A neurological disorder known as motor neuron disease (MND) progressively causes motor neurons to no longer have the ability to innervate the muscle fibres, causing the muscles to eventually waste away. When this occurs the motor unit effectively ‘dies’. There is no cure for MND, and fatality often results from a lack of muscle strength to breathe. The prognosis for many forms of MND (particularly amyotrophic lateral sclerosis (ALS)) is particularly poor, with patients usually only surviving a small number of years after the initial onset of disease. Measuring the progress of diseases of the motor units, such as ALS, is a challenge for clinical neurologists. Motor unit number estimation (MUNE) is an attempt to directly assess underlying motor unit loss rather than indirect techniques such as muscle strength assessment, which generally is unable to detect progressions due to the body’s natural attempts at compensation. Part III of this thesis builds upon a previous Bayesian technique, which develops a sophisticated statistical model that takes into account physiological information about motor unit activation and various sources of uncertainties. More specifically, we develop a more reliable MUNE method by applying marginalisation over latent variables in order to improve the performance of a previously developed reversible jump Markov chain Monte Carlo sampler. We make other subtle changes to the model and algorithm to improve the robustness of the approach.