Distributed cognition and IT support for knowledge work in breakdowns : match or mismatch?

Knowledge is instrumental in organisational problem solving and is embedded in organisational processes and routines. We explore the application of IT in breakdowns (forms of interruptions from normal organisational work routines) and illustrate the application of distributed cognition theory (DCT) as a useful lens to explain the exchange of knowledge in breakdowns. DCT also allows for a rich analysis of the role that information technology (IT) can play to foster knowledge exchange in breakdown situations. We use two cases to illustrate that DCT is useful in identifying the matches and mismatches in IT support for exchanging knowledge in breakdowns.

The roles, responsibilities and development needs of quality managers in Britain and Australia

This paper compares and contrasts the career experiences and development needs of 334 British quality managers compared with Australian quality managers based on two Australian surveys. The quality managers in both countries brought wide functional experience to their roles, with many coming in particular from production and operations and general management. In their current roles major sources of job satisfaction for managers in both countries were improving efficiency and problem solving, whereas aspects of employee relations was a source of least satisfaction. Both groups of quality managers utilised a very limited range of quality tools, the most popular being brainstorming, control charts and Pareto analysis, with virtually no mention of more sophisticated tools like Six sigma, which is in stark contrast to American managers. Also British and Australian managers showed little awareness in terms of their development needs for a broader background in quality, which could disadvantage their companies in global markets.

Introducing creative language learning in Japan through educational drama

Educational Drama as a teaching and learning methodology is already widely in use and well accepted by Australian teachers and students. This paper reports on a study in which the author investigated Japanese primary school students' and teachers' responses to educational drama as a pedagogical tool in their English language classes. The participants had no prior experience of drama in education. Along with the participants' responses, the applicability of educational drama as a teaching method for the Japanese teachers is also discussed. The author, as a teacher-researcher, used action research methods for this study. It became evident that educational drama tended to motivate the Japanese students' foreign language learning of English, by providing them with an opportunity for a higher level of engagement and participation in learning. In the study, the students showed enhancement of the skills necessary for learning, including social, communication, linguistic, non-linguistic and problem-solving skills.

Through the looking glass : immersive interfaces for participant engagement in blended e-learning environments

This chapter outlines current research profiling students and educators participating in and constructing immersive interfaces in blended e-learning settings. Multi User Virtual Environments (MUVEs) and real world settings augmented with virtual information can generate problem-solving communities where participants gain greater technical knowledge and skills through meaningful and frequent interaction. MUVEs can also generate technical innovation amongst students from diverse disciplinary backgrounds provided students are encouraged to help each other and learn together. After detailing some false assumptions about computer literacy that can stifle meaningful exploration with new technologies in contemporary education, this chapter documents an exemplar involving extensive collaboration between students from different educational backgrounds with diverse technical competencies. The success of this initiative hinges on the willingness of educators to provide a shared learning experience where technology is used to facilitate increased student communication and offers a site for invention, informed critique, industry participation, and a sense of community.

Life! in Australia : translating prevention research into a large-scale intervention

The increasing prevalence of type 2 diabetes is of great public health concern. In the state of Victoria, Australia, a group-based lifestyle intervention programme, Life! – Taking Action on Diabetes, was developed for people over the age of 50 years who are at high risk of diabetes. It aims to reduce the risk of diabetes by providing practical skills, including goal setting and problem solving, to encourage participants to adopt a healthy diet and active lifestyle. The programme is delivered by specially trained facilitators who have undergone an accredited three-stage training programme. A quality assurance process is also in place to ensure that it is delivered to a consistently high standard. The Life! program
is a direct progression from the Finnish randomised controlled trial and the Greater Green Triangle Diabetes Prevention Project implementation trial. This paper describes how a diabetes prevention programme was implemented at a state-wide level and the training of facilitators to conduct the group sessions. Future studies are needed to examine the cost effectiveness and development of specific programmes for diverse population groups.

A probabilistic movement model for shortest path formation in virtual ant-like agents

We propose a probabilistic movement model for controlling ant-like agents foraging between two points. Such agents are all identical, simple, autonomous and can only communicate indirectly through the environment. These agents secrete two types of pheromone, one to mark trails towards the goal and another to mark trails back to the starting point. Three pheromone perception strategies are proposed (Strategy A, B and C). Agents that use strategy A perceive the desirability of a neighbouring location as the difference between levels of attractive and repulsive pheromone in that location. With strategy B, agents perceive the desirability of a location as the quotient of levels of attractive and repulsive pheromone. Agents using strategy C determine the product of the levels of attractive pheromone with the complement of levels of repulsive pheromone. We conduct experiments to confirm directionality as emergent property of trails formed by agents that use each strategy. In addition, we compare path formation speed and the quality of the formed path under changes in the environment. We also investigate each strategy's robustness in environments that contain obstacles. Finally, we investigate how adaptive each strategy is when obstacles are eventually removed from the scene and find that the best strategy of these three is strategy A. Such a strategy provides useful guidelines to researchers in further applications of swarm intelligence metaphors for complex problem solving.

Story-telling and policy making : the construction of university entrance problems in Australia

This paper is a study of the politics of policy making within the context of Australian university entrance policy. It argues that policy making is more concerned with the social construction of policy problems than with their resolution and that in this respect the problem-solving image of policy making is flawed. Additionally, the paper explores the ways in which policy problems are constructed and how competing stories are resolved within policy making. The paper concludes that in this case such stories of university entrance were absorbed within the government's agenda for reform through the use of participative processes restricted to the consideration of best solutions rather than particular problems.

Reimagining poetry : innovative literacies, national agendas and digital landscapes

Renewing engagement with literature and integrating technologies in order to address the needs of an increasingly diverse student cohort are some of the challenges confronting 21st century English teachers as they go about implementing the Australian Curriculum: English. This chapter reports on an action research cycle of classroom inquiry into the interpretation and creation of poetry, drawing on both multimodal and traditional poetic forms. Three middle school teachers, in partnership with three university-based researchers, sought to explore the possibilities of one-to-one computing for creating differentiated literacy curriculum based on personalised learning goals and harnessing the affordances of multimodal literacy pedagogies. The learning gains achieved through this collaboration exceeded the expectations of all concerned: teachers, students and researchers. Student achievement was shown by their enhanced knowledge and creativity when interpreting and composing poetry. Furthermore, students increased their capacities in other ways, through collaborating and problem-solving, as well as increased technological mastery, meta-cognition and self-assessment. Such transformations in student learning challenge standardised notions of accomplishment in English and the kinds of pedagogy necessary to support their learning. The teachers involved in this research engaged in rich forms of collaboration, engaging in professional learning that matched the learning of their students. For academics, the co-creation of professional praxis with middle years teachers and students reaffirmed their sense of the value of generating literacy pedagogies through reflective dialogue within local, situated knowledge communities

I would like to change the world, but they wouldn't let me have the source code

In this paper we present the findings of a group problem-solving task involving eight randomly selected students. The focus of this study was to identify and explore students' application of generic skills, cross-disciplinary knowledge and skills, innovative thinking and engineering disciplinary knowledge. While this was the main aim of this study, we also used the findings of this study to triangulate the findings of a broader study which aims to identify and explore students' perceptions of problem based learning (PBL) in first year electrical engineering. The broader qualitative study of learners in a problem based engineering context will identify, explore and report on the factors that influence student learning behaviours and their attitudes as future engineers. Studying the learning cultures from the students' view point in a diverse student group should provide evidence to further theorize about the models of self-regulation in autonomous learners. For this group problem solving activity, we designed a problem (advanced lift controller system) and allowed students one hour to work on a solution for this problem. The eight students from a number of actual PBL groups were divided into two groups depending upon their availability. Both groups were given the same problem. The researcher played the role of a facilitator and collected the data simultaneously. Students were given access to books relevant to the problem, computer access and access to the Internet. They were also provided with links to sample websites such as the University's electronic library and other technology related websites on the World Wide Web. The activity was designed such that students were not required to arrive at a definite outcome. However, they were asked to brainstorm ideas, and as a group, to decide on ways that they would obtain and share information and to formulate and suggest possible innovative solutions to the problem. Data for this activity was collected by means of observation. The activity was audio and video recorded in order to help revisit the data at any stage. At the time this study was conducted, students had completed two PBL units in their first year of an electronic and electrical engineering undergraduate degree course. This study also provided insight into students' attitudes and their behaviours towards learning in a group setting, learning approaches and outcomes, different responses to the heterogeneity of the students in the group, and their responsibility and accountability in an autonomous learning setting such as PBL.

Learning other agents' preferences in multi-agent negotiation using the bayesian classifier

In multi-agent systems, most of the time, an agent does not have complete information about the preferences and decision making processes of other agents. This prevents even the cooperative agents from making coordinated choices, purely due to their ignorance of what others want. To overcome this problem, traditional coordination methods rely heavily on inter-agent communication, and thus become very inefficient when communication is costly or simply not desirable (e.g. to preserve privacy). In this paper, we propose the use of learning to complement communication in acquiring knowledge about other agents. We augment the communication-intensive negotiating agent architecture with a learning module, implemented as a Bayesian classifier. This allows our agents to incrementally update models of other agents' preferences from past negotiations with them. Based on these models, the agents can make sound predictions about others' preferences, thus reducing the need for communication in their future interactions.

Fast cross-validation of kernel fisher discriminant classifiers

Given n training examples, the training of a Kernel Fisher Discriminant (KFD) classifier corresponds to solving a linear system of dimension n. In cross-validating KFD, the training examples are split into 2 distinct subsets for a number of times (L) wherein a subset of m examples is used for validation and the other subset of(n - m) examples is used for training the classifier. In this case L linear systems of dimension (n - m) need to be solved. We propose a novel method for cross-validation of KFD in which instead of solving L linear systems of dimension (n - m), we compute the inverse of an n × n matrix and solve L linear systems of dimension 2m, thereby reducing the complexity when L is large and/or m is small. For typical 10-fold and leave-one-out cross-validations, the proposed algorithm is approximately 4 and (^4/9n) times respectively as efficient as the naive implementations. Simulations are provided to demonstrate the efficiency of the proposed algorithms.

Random Subspace Two-Dimensional PCA for face recognition

The two-dimensional Principal Component Analysis (2DPCA) is a robust method in face recognition. Much recent research shows that the 2DPCA is more reliable than the well-known PCA method in recognising human face. However, in many cases, this method tends to be overfitted to sample data. In this paper, we proposed a novel method named random subspace two-dimensional PCA (RS-2DPCA), which combines the 2DPCA method with the random subspace (RS) technique. The RS-2DPCA inherits the advantages of both the 2DPCA and RS technique, thus it can avoid the overfitting problem and achieve high recognition accuracy. Experimental results in three benchmark face data sets -the ORL database, the Yale face database and the extended Yale face database B - confirm our hypothesis that the RS-2DPCA is superior to the 2DPCA itself.

The impact of guanxi on export performance: A study of New Zealand firms exporting to China

Broadly defined as interpersonal relationship in Chinese society, guanxi embodies several intricate and unique Chinese cultural values. Although more and more western business people are becoming increasingly aware of the importance of guanxi in doing business in China, its potential impacts on the performance of business are still not well understood by western business people. This paper uses path analysis to assess the impacts of guanxi on export performance of a sample of New Zealand firms exporting to China. The results show that guanxi variables significantly facilitate trade partnering, business negotiating, and problem solving and generally contributes positively to the overall export performance of firms.

Learning to think, learning to learn : super teaching for super success

The early childhood years are a busy, exciting time. New discoveries, skills and competencies are a regular part of life for a young child. Early childhood teachers have the opportunity to optimise these amazing and important years. In this paper, I will discuss teaching strategies that can turn children’s possibilities into realities. The practices that will be discussed involve expanding thinking, problem-solving and developing hypotheses. These teaching strategies can build on children’s learning dispositions and their strengths and interests to put the ‘wow factor’ into learning.

Come play with me : an argument to link autism spectrum disorders and anorexia nervosa through early childhood pretend play

This article builds on the argument of a link between behaviours observed in persons with autism spectrum disorders and persons with anorexia nervosa. In describing these behaviours, a link is made between deficits in social cognition, lack of flexible and creative thinking, theory of mind, and deficits in early pretend play ability. Early pretend play ability is a strong avenue to the development and strengthening of social cognition, problem solving, language, logical sequential thought, and understanding social situations. Currently, there is no literature on the pretend play ability of persons who develop anorexia nervosa. This article argues for research into this area which may potentially contribute to developments in new intervention strategies for these persons.