Investigating the impact of computer conferencing: content analysis as a manageable research tool

Content analysis of computer conferences provides a rich source of data for researching and understanding online learning. However the complexities of using content analysis in a relatively new research field have resulted in researchers avoiding its use as a qualitative or quantitative method and using more familiar methods such as survey and interview instead. Ethical issues are also raised that, though ensuring students’ rights, particularly to privacy and with no fear of coercion, are making it difficult for researchers to access and analyse archives of conference data as a research source. This paper suggests a pragmatic but systematic approach to solving these research issues by using several research strategies that are described in the context of the authors’ research and practice.

Games within games: gambling and trickery in professional running

Professional running is an overtly gambling sport in which a clear objective is to maximise winnings from the bookmakers, which is achieved through a careful concealment of a runner’s ability. Professional runners seldom win more than one significant race. Races are deliberately lost until runners acquire a sufficiently lenient handicap to significantly improve their chances of winning a race of their choosing. Successes, kudos and identities in this sport are evaluated from the cleverness of the win, largely measured by the trainer’s effectiveness in executing a gambling coup. The money prizes given to runners may be significantly bettered from gambling winnings and making the most of these is the major emphasis for most successful runners and trainers. Drawing from an ethnographic study of this sport in Australia, the paper argues that the gambling strategies of runners and trainers can be understood as zero-sum games.

Games geeks in context: developing the environment to engage creative expression

This paper explores the importance of purpose built combined technological and social collaborative environments in supporting the development of creativity in a cohort of students not generally associated with creative abilities. A supportive and nurturing environment provides these university students with a community where they can share knowledge and ideas, and subsequently engage in creative activities and behaviours. Such an environment directly impacts on the levels of engagement with which students� participate in their learning process. The authors draw on findings derived from a study of first year computer science students enrolled in a games design and development unit at an Australian university. This paper will focus on the ways in which the participants negotiate and regulate the exercise of power and control in the environment in order to enhance their own creative expression.

Decision making effectiveness in wildfire incident management teams

During large scale wildfires, suppression activities are carried out under the direction of an Incident Management Team (IMT). The aim of the research was to increase understanding of decision processes potentially related to IMT effectiveness. An IMT comprises four major functions: Command, Operations, Planning, and Logistics. Four methodologies were used to study IMT processes: computer simulation experiments; analyses of wildfire reports; interviews with IMT members; and cognitive ethnographic studies of IMTs. Three processes were important determinants of IMT effectiveness: information management and cognitive overload; matching component function goals to overall goals; and team metacognition to detect and counter task-disruptive developments. These processes appear to be complex multi-person analogues of individual Incident Command processes identified previously. The findings have implications for issues such as: creating IMTs; training IMTs; managing IMTs; and providing decision support to IMTs.

Television, computer use and body mass index in Australian primary school children

Objective: To investigate relationships between children's body mass index (BMI) and parent reports of children's television and video game/computer habits, controlling for other potential risk factors for paediatric obesity.

Methods: Child BMI was calculated from measured height and weight collected in 1997 as part of a large, representative, cross-sectional study of children in Victoria, Australia. Parents reported the amount of time children watched television and used video games/computers, children's eating and activity habits, parental BMI and sociodemographic details.

Results: A total of 2862 children aged 5−13 years participated. Child mean BMI z-score was significantly related to television (F = 10.2₃, P < 0.001) but not video game/computer time (F = 2.2₃, P = 0.09), but accounted for only 1 and 0.2% of total BMI variance, respectively. When parental BMI, parental education, number of siblings, food intake, organized exercise and general activity level were included, television ceased to be independently significantly related to child BMI. Using adjusted logistic regression, the odds of being overweight and obese generally increased with increasing television viewing. No relationship was found for video game/computer use.
Conclusions: A small proportion of variance in child BMI was related to television, but not video game/computer time. This was far outweighed by the influence of other variables. Causal pathways are likely to be complex and interrelated.

Bushfire incident management team decision making

Large scale bushfire (or wildfire) suppression activities are conducted under the control of an Incident Management Team (IMT) comprising four major functions: Command, Operations, Planning, and Logistics. Four methodologies were used to investigate processes determining the effectiveness of IMT decision making activities: (a) laboratory experiments using the Networked Fire Chief computer simulation program; (b) analyses of reports of significant fires; (c) structured interviews with experienced IMT staff; and, (d) cognitive ethnographic studies of IMTs. Three classes of team processes were found to be important determinants of IMT effectiveness: information sharing and management; matching of the four component function goals to overall IMT goals; and monitoring of the overall IMT situation to detect and correct task disruptive processes. Several non-rational processes with the potential for hindering IMT effectiveness were noted. Team metacognition emerged as a key process for understanding effective IMT decision making.

Pedagogical templates : a comparative study of higher order reflective making

Schon’s notion of reflection-in-action implies a constructivist process of learning, especially valid in the teaching of professional disciplines such as architecture. Action becomes the instrument of conjecture and learning arises in the context of reflection upon the act. Such a process of interleaving action and reflection constitutes a “higher-order” process of reflective making. Research in design studies has shown that strategies for making differ markedly between professional and novitiate designers. Further, such studies have shown that skilled designers employ past experience and precedents to create context for new problem situations. To address the lack of context in novitiate learning situations, we propose the use of “pedagogical templates” for the promotion of “higher-order” strategies in design learning contexts for supporting beginning design students. We focus on the use of digital media, specifically for the design, implementation and delivery of constructive learning situations. This paper presents the use of a pedagogical template in the creation of constructivist contexts for two complementary courses, a traditional design studio and a computer modelling course at Deakin University. The resulting implications for design learning and the integration of physical and digital forms of making through the use of a pedagogical template are discussed.

Use and cost effectiveness of computer based training in the insurance industry

Training is essential to the growth and economic well-being of a nation. This need for training pervades all levels of industry, from a national level where a country’s well being is enhanced by training, to each company where productivity is improved, down to the individual whose skills are enhanced and as a result improve their position in the employment marketplace. The Australian Bureau of Statistics report ‘Training and Education Experience –Australia’ (ABS 1993) indicates that training in Australia is undertaken at a significant level with some 86% of employers undertaking some form of training. This is slightly higher in the Finance industry at a little over 89%. On the job training is undertaken by 82% of employers and off the job training is used by 47% of employers. In 80% of the off the job cases these courses were conducted in a conventional manner using an instructor. The remaining 20% of cases were either self paced (14%) or instructor based (6%). These latter cases could involve Computer Based Training (CBT). The report, referred to in the last paragraph, also indicates that a significant aspect of business in Australia is that 95% of businesses have less than 20 staff. This poses significant problems in that the ability to deliver effective training is limited. With businesses as small as these their size does not permit them to carry specialist training personnel so this role falls to the senior staff. These people already have a full workload and their ability to be able to take on training duties is limited. In addition these people were employed for their technical skills, not training. It may be that their ability to fill the role of a trainer is not good and as a result the training may not be very effective. In addition, small business has difficulty in releasing staff for training, The difficulties faced by small business were recognised by the Australian National Training Authority in their 1995 report which indicated that there was a need to develop a ‘training culture’ among small business employers. The authority made a commitment to provide flexible delivery strategies. This includes Computer Based Training (CBT). CBT has existed since the 1970’s. It came on to the scene with a flourish and tended to provide ‘page turning’ programs or ‘drill and practice programs’. In limited areas this form of training became popular but its popularity waned in the 80’s. With the advent of better graphical displays, larger and faster memory, and improved programs in the 1990’s the quality of CBT today is superior to those offered in the 70’s and has greater appeal. Today, still photographs and video clips can be displayed and made interactive. Because of this CBT is making a comeback and starting to have a greater impact. The insurance industry covers a wide range of companies in Australia, these companies vary in size from companies with employees in the thousands to companies with less than five staff. While the needs of the employees of each are similar the ability of these companies to deliver the training varies significantly. Any training can be divided into two parts. Internal or on the job training and external. External training deals with those aspects that concern the industry as a whole whereas internal training affects the individual company. Internal training would deal with matters like company procedures, company products and the like. External training deals with matters such as legislation, products generally, and the like. In the insurance industry the major problem arises with the small companies. Insurance companies would tend to be large in size and able to cover their training costs but the insurance brokers who would make up, numerically, the major number of companies would have a significant number of companies that fall into the 20 staffer less category. In fact many would have a staff of less than 5. While CBT can benefit all companies it is these small companies that could benefit from it the most. This thesis examines: • The place of CBT in training, its cost and effectiveness. • The incidence of CBT in the insurance industry and how the industry determines its effectiveness. • If a program that meets an industry need is able to be produced at a realistic price?

Agent-based hybrid framework for decision making on complex problems

Electronic commerce and the Internet have created demand for automated systems that can make complex decisions utilizing information from multiple sources. Because the information is uncertain, dynamic, distributed, and heterogeneous in nature, these systems require a great diversity of intelligent techniques including expert systems, fuzzy logic, neural networks, and genetic algorithms. However, in complex decision making, many different components or sub-tasks are involved, each of which requires different types of processing. Thus multiple such techniques are required resulting in systems called hybrid intelligent systems. That is, hybrid solutions are crucial for complex problem solving and decision making. There is a growing demand for these systems in many areas including financial investment planning, engineering design, medical diagnosis, and cognitive simulation. However, the design and development of these systems is difficult because they have a large number of parts or components that have many interactions. From a multi-agent perspective, agents in multi-agent systems (MAS) are autonomous and can engage in flexible, high-level interactions. MASs are good at complex, dynamic interactions. Thus a multi-agent perspective is suitable for modeling, design, and construction of hybrid intelligent systems. The aim of this thesis is to develop an agent-based framework for constructing hybrid intelligent systems which are mainly used for complex problem solving and decision making. Existing software development techniques (typically, object-oriented) are inadequate for modeling agent-based hybrid intelligent systems. There is a fundamental mismatch between the concepts used by object-oriented developers and the agent-oriented view. Although there are some agent-oriented methodologies such as the Gaia methodology, there is still no specifically tailored methodology available for analyzing and designing agent-based hybrid intelligent systems. To this end, a methodology is proposed, which is specifically tailored to the analysis and design of agent-based hybrid intelligent systems. The methodology consists of six models - role model, interaction model, agent model, skill model, knowledge model, and organizational model. This methodology differs from other agent-oriented methodologies in its skill and knowledge models. As good decisions and problem solutions are mainly based on adequate information, rich knowledge, and appropriate skills to use knowledge and information, these two models are of paramount importance in modeling complex problem solving and decision making. Follow the methodology, an agent-based framework for hybrid intelligent system construction used in complex problem solving and decision making was developed. The framework has several crucial characteristics that differentiate this research from others. Four important issues relating to the framework are also investigated. These cover the building of an ontology for financial investment, matchmaking in middle agents, reasoning in problem solving and decision making, and decision aggregation in MASs. The thesis demonstrates how to build a domain-specific ontology and how to access it in a MAS by building a financial ontology. It is argued that the practical performance of service provider agents has a significant impact on the matchmaking outcomes of middle agents. It is proposed to consider service provider agents' track records in matchmaking. A way to provide initial values for the track records of service provider agents is also suggested. The concept of ‘reasoning with multimedia information’ is introduced, and reasoning with still image information using symbolic projection theory is proposed. How to choose suitable aggregation operations is demonstrated through financial investment application and three approaches are proposed - the stationary agent approach, the token-passing approach, and the mobile agent approach to implementing decision aggregation in MASs. Based on the framework, a prototype was built and applied to financial investment planning. This prototype consists of one serving agent, one interface agent, one decision aggregation agent, one planning agent, four decision making agents, and five service provider agents. Experiments were conducted on the prototype. The experimental results show the framework is flexible, robust, and fully workable. All agents derived from the methodology exhibit their behaviors correctly as specified.

Automatic detection of lung nodule from computer tomography images

Lung nodule refers to lung tissue abnormalities that may become cancerous. An automated system that detects nodules of common sizes within lung images is developed. It consists of acquisition, pre-processing, background removal, nodule detection, and false positives reduction. The system can assist expert radiologists in their decision making.

All the animals are gone? The politics of contemporary hunter arcade games.

Recent proliferation and popularity of personal computer and console games has meant that scholarship around video arcade games has been largely ignored. Arcade games had their halcyon days during the 1970s and 1980s when 'Space Invaders', 'Pong' and 'Donkey Kong' were household names. The inception of scholarship into games occurred in the 1990s; a time when arcade games were writ small in the cultural imagination, at least compared to the newer home computer and video games. Thus in games theory they are typically discussed only in terms of their role as antecedents to their more popular kin. Moreover, they seem innocuous because they are so publicly accessible. Against this assumption, and lack of scholarship, this paper explores a selection of contemporary arcade games which we describe as 'hunting' games. Arcade hunting games are first-person shooter (FPS) involving one or more players shooting simulated wild animals. They are commonly situated in cinema foyers, hotels, and family entertainment centres. However, despite a presumption of institutional moderation afforded by the public accessibility of these spaces, this paper argues that this genre works through a range of political modalities that require more scholarly consideration than currently given.

A decision-making model to choose business intelligence platforms for organizations

In recent time, technology applications in different fields, especially Business Intelligence (BI) have been developed rapidly and considered to be one of the most significant uses of information technology with special position reserved. The application of BI systems provides organizations with a sense of superiority in the competitive environment. Despite many advantages, the companies applying such systems may also encounter problems in decision-making process because of the highly diversified interactions within the systems. Hence, the choice of a suitable BI platform is important to take the great advantage of using information technology in all organizational fields. The current research aims at addressing the problems existed in the organizational decision-making process, proposing and implementing a suitable BI platform using Iranian companies as case study. The paper attempts to present a solitary model based on studying different methods in BI platform choice and applying the chosen BI platform for different decisionmaking processes. The results from evaluating the effectiveness of subsequently implementing the model for Iranian Industrial companies are discussed.