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.

An exploratory cluster randomised controlled trial of knowledge translation strategies to support evidence-informed decision-making in local governments (The KT4LG study)

Background: Childhood overweight and obesity is the most prevalent and, arguably, politically complex child health problem internationally. Governments, communities and industry have important roles to play, and are increasingly expected to deliver an evidence-informed system-wide prevention program. However, efforts are impeded by a lack of organisational access to and use of research evidence. This study aims to identify feasible, acceptable and ideally, effective knowledge translation (KT) strategies to increase evidence-informed decision making in local governments, within the context of childhood obesity prevention as a national policy priority.
Methods/Design: This paper describes the methods for KT4LG, a cluster randomised controlled trial which is exploratory in nature, given the limited evidence base and methodological advances. KT4LG aims to examine a program of KT strategies to increase the use of research evidence in informing public health decisions in local governments. KT4LG will also assess the feasibility and acceptability of the intervention. The intervention program comprises a facilitated program of evidence awareness, access to tailored research evidence, critical appraisal skills development, networking and evidence summaries and will be compared to provision of evidence summaries alone in the control program. 28 local governments were randomised to intervention or control, using computer generated numbers, stratified by budget tertile (high, medium or low). Questionnaires will be used to measure impact, costs, and outcomes, and key informant interviews will be used to examine processes, feasibility, and experiences. Policy tracer studies will be included to examine impact of intervention on policies within relevant government policy documents.
Discussion: Knowledge translation intervention studies with a focus on public health and prevention are very few in number. Thus, this study will provide essential data on the experience of program implementation and evaluation of a system-integrated intervention program employed within the local government public health context. Standardised programs of system, organisational and individual KT strategies have not been described or rigorously evaluated. As such, the findings will make a significant contribution to understanding whether a facilitated program of KT strategies hold promise for facilitating evidence-informed public health decision making within complex multisectoral government organisations.

Brain-boosting mathematics games : are you game?

Games are enjoyable, and research shows that learning to play games can boost learning. Many games use mathematical processes and strategies; this book outlines the context for using mathematics games in classrooms to promote active mathematics learning, curiosity and engaged thinking. There are suggestions for suitable commercially available games and explanations of the rules for card games, dominoes, alphabet games, dice games, drawing games and others. Ways of making a new game, or modifying an existing game are explored, and there are scores of ideas for using games to support mathematical concepts while having fun.

Identifying annotations for adventure game generation from fiction text

Recent advancements in Text-to-Scene research have lead to the development of systems which automatically extract key concepts from the text of a fiction book and generate computer animated movies depicting the story. Extracting such annotations from raw fiction text is a laborious process and so in this work we evaluate appropriate candidates to serve as the basis for the required annotations for generating interactive virtual worlds.

We validate our choice by generating adventure games: inter-active virtual worlds which create a stylized representation of the environment described in the text, populate it with characters related to the story and define game goals related to the plot of the fiction story. Our prototype produces a fully playable game, making use of an existing open-source game engine.

The process is evaluated using user tests in which participants are asked to measure the accuracy with which the game represents the events, characters and goals described in the story. The response indicates that the chosen annotation set is sufficient to define a game that is a plausibly acceptable representation of the text.

Student views of computer based-mathematics in the middle years : does gender make a difference?

How the use of computers in mathematics classrooms was viewed by students in two middle years mathematics classrooms was the focus of the research described in this paper. The primary data sources consisted of questionnaires, classroom observations supported by videotaping of mathematics lessons, and interviews with two girls and two boys from each class. Thus both qualitative and quantitative methods were used. Girls viewed the computer-based lessons less favourably than did boys. In general, the boys were likely to believe that computers contributed to their experiencing pleasure in these lessons, and to making mathematics more relevant to them. Girls were typically more concerned about whether computers facilitated learning and enabled success in mathematics. The attitudes of students to computer-based mathematics were related to their views of computers.

An Intelligent Human-Computer Interaction System for Decision Support

This paper proposes a novel architecture for
developing decision support systems. Unlike conventional decision support systems, the proposed architecture endeavors to reveal the decision-making process such that humans' subjectivity can be
incorporated into a computerized system and, at the same time, to
preserve the capability of the computerized system in processing information objectively. A number of techniques used in developing the decision support system are elaborated to make the decisionmarking
process transparent. These include procedures for high dimensional data visualization, pattern classification, prediction, and evolutionary computational search. An artificial data set is first
employed to compare the proposed approach with other methods. A simulated handwritten data set and a real data set on liver disease diagnosis are then employed to evaluate the efficacy of the proposed
approach. The results are analyzed and discussed. The potentials of the proposed architecture as a useful decision support system are demonstrated.

Simulated jury decision making in online focus groups

Purpose – A significant issue in jury research has been the use of individual jurors to analyse jury decision-making. This paper aimed to examine the applicability of computer-mediated communication to a mock jury deliberation study.

Design/methodology/approach – Groups of three to five Australian residents anonymously attended a secure chat room and participated in a semi-structured discussion about a simulated child sexual assault scenario. Deliberation transcripts were analysed thematically using NVivo. A hermeneutic framework was used to analyse the deliberation transcripts.

Findings – Five interrelated themes were revealed, each reflecting the tools online juries used to communicate, create meaning, and arrive at a verdict. Electronic jury deliberation promoted an understanding of how people make sense of child sexual assault cases in Australia today.

Originality/value – This study advanced the understanding of online decision making in a child sexual assault scenario. It demonstrated that knowledge of how juries deliberate and create meaning could improve our understanding of how verdicts are achieved. Electronic mock juries are a valuable adjunct to traditional jury deliberation studies because they are cost effective, time efficient, and offer wider recruitment opportunities.

Borrowings; or ways of making poetry by taking, working and returning: a study in creative practice

The collaborative poetry project ‘Borrowings’ investigates and theorises some of the processes of poetic composition. Two collaborators, by making use of incepts from each other's work, have generated new poems by exploring the nature of intertextual genesis. This paper presents key ideas generated by this activity and, in doing so, applies Deleuze's analysis of games to its consideration of the nature of poetic composition, along with his contention that ‘[t]o pass to the other side of the mirror is to pass from the relation of denotation to the relation of expression … It is to reach a region where language no longer has any relation to that which it denotes’. The project explores some of the ways in which poetry makes ‘sense’, both to the writer and reader; as well as questioning the extent to which poetry depends on its author's ‘decision’ about what to write. It also teases out some of the implications for how we understand authorship if authorial decisions may be generated by incepts of one kind or another that occur to the poet apparently randomly, or may be given to them by a line or phrase that they encounter while reading. This paper's ultimate wager, and one put to the test in the project itself, is that limitation has an expansive effect on the generation of creative work.

Improved processing speed: online computer-based cognitive training in older adults

In an increasingly aging population, a number of adults are concerned about declines in their cognitive abilities. Online computer-based cognitive training programs have been proposed as an accessible means by which the elderly may improve their cognitive abilities; yet, more research is needed in order to assess the efficacy of these programs. In the current study, a commercially available 21-day online computer-based cognitive training intervention was administered to 34 individuals aged between 53 and 75 years. The intervention consisted of computerized training in reaction time, inspection time, short-term memory for words, executive function, visual spatial acuity, arithmetic, visual spatial memory, visual scanning/discrimination, and n-back working memory. An active solitaire control group was also included. Participants were tested at baseline, posttraining and at three-weeks follow-up using a battery of neuropsychological outcome measures. These consisted of simple reaction time, complex reaction time, digit forwards and backwards, spatial working memory, digit symbol substitution, RAVLT, and trail making. Significant improvement in simple reaction time and choice reaction time task was found in the cognitive training group both posttraining and at three-weeks follow-up. However, no significant improvements on the other cognitive tasks were found. The training program was found to be successful in achieving transfer of trained cognitive abilities in speed of processing to similar untrained tasks. © 2012 Copyright Taylor and Francis Group, LLC.