Improving child investigative interviewer performance through computer-based learning activities

The current study adopted a pre- versus post-training design and a standardised measure of performance to evaluate the effectiveness of a series of online computerbased learning activities designed to encourage open-ended question usage among investigative interviewers of children. Participants included 61 social workers, police and psychologists. The learning activities, organised into 12 modules of approximately 3 hours duration each, focused purely on the skill of eliciting a disclosure of sexual abuse and a narrative account of the offence from a young child. Results revealed a significant improvement in interview performance from pre-training to immediate post-training. For the 25 participants who also completed a follow-up assessment three to six months after completing the learning activities, performance was found to be maintained. The implications of these findings and directions for future research are discussed.

Usage of a computer conferencing system by on- and off-campus engineering students

This paper reports on the introduction of a computer conferencing  component into a first year study unit in Technology Management at Deakin University, Australia. It was found that significant variations in computer  usage were correlated to student study mode, including source of computer access, source of Internet access, hours per week computer usage, regular use of email, regular use of the Internet, and number of times the conference was accessed. Other moderate differences were also noted. Following  exposure to the computer conference, on-campus students were more likely to agree computers could assist their learning, and off-campus students  were less likely to agree that learning from computers would be better than classes/lectures.

A self-learning system for identifying harmful network information

Network information identification is a “hot” topic currently. This paper designs a self-learning system using neural network algorithm for identifying the harmful network messages of both Chinese and English languages. The system segments the message into words and creates key word vector which characterizes the harmful network information. The BP algorithm is taken advantage of to train the neural network. The result of training and studying of the neural network can be applied onto many network applications based on message identification. The result of experiments demonstrates that our system has a high degree of accuracy.

Simulation-based learning for control of complex conveyor networks

This research investigated the problem of path planning in complex conveyor networks. A reinforcement learning approach was applied to derive a control strategy for routing traffic. The derived strategy was verified in real world systems and was found to improve network performance by prioritising traffic flows and balancing network load.

Security concerns and remedy in a cloud based e-learning system

Cloud computing is an emerging technology and it utilizes the cloud power to many technical solutions. The e-learning solution is one of those technologies where it implements the cloud power in its existing system to enhance the functionality providing to e-learners. Cloud technology has numerous advantages over the existing traditional e-learning systems. However security is a major concern in cloud based e-learning. Therefore security measures are unavoidable to prevent the loss of users’ valuable data from the security vulnerabilities. This paper investigates various security issues involved in cloud based e-learning technology with an aim to suggest remedial in the form of security measures and security management standards. These will help to overcome the security threats in cloud based e-learning technology. Solving the key problems will also encourage the widespread adoption of cloud computing in educational institutes.

Toward a comprehensive software based DSM system

Software based Distributed Shared Memory (DSM) systems have been the focus of considerable research effort, primarily in improving performance and consistency protocols. Unfortunately, computer clusters present a number of challenges for any DSM systems that are not solvable through consistency protocols alone. These challenges relate to the ability of DSM systems to adjust to load fluctuations, computers being added/removed from the cluster, to deal with faults, and the ability to use DSM objects larger than the available physical memory. We present here a proposal for the Synergy Distributed Shared Memory System and its integration with the virtual memory, group communication and process migration services of the Genesis Cluster Operating System.

Impacts of an online-supported, resouce-based learning environment: does one size fit all?

This paper reports on the use of an online, resource-based learning (RBL) approach in first year psychology at Deakin University. Differences between on- and off-campus students that emerged are examined in the context of the learning goals and study approaches of the two student groups and their attitudes to using computers. Unlike the on-campus students who were less positive about working with computers and reported confusion about how and what to study for the unit, the off-campus students reported feeling confident they had a good study strategy and were more positive about computers. The off-campus students also reported that they spent more time working with electronic resources and attached greater value to them. While all students valued the prescribed resources, the off-campus students found some of the optional, electronic resources valuable because they added to the learning experience. These students also reported greater use of the computer-mediated communication available as part of the online learning environment, and valued this functionality more highly than did the on-campus students. These findings highlight the need to take into account learner characteristics when designing learning environments that cater for individual differences and preferences. While online-supported RBL approaches have the potential to cater to the diverse needs of students, learning environments need to be designed, structured and delivered so the learning experience can be customized to the needs of different student cohorts, while preserving the overarching, pedagogical goals.

An active stereo vision-based learning approach for robotic tracking, fixating and grasping control

In this paper, an active stereo vision-based learning approach is proposed for a robot to track, fixate and grasp an object in unknown environments. First, the functional mapping relationships between the joint angles of the active stereo vision system and the spatial representations of the object are derived and expressed in a three-dimensional workspace frame. Next, the self-adaptive resonance theory-based neural networks and the feedforward neural networks are used to learn the mapping relationships in a self-organized way. Then, the approach is verified by simulation using the models of an active stereo vision system which is installed in the end-effector of a robot. Finally, the simulation results confirm the effectiveness of the present approach.

Challenges in designing culturally-adaptive ICT-based learning environments

This paper argues that two of the major problems facing local courseware developers and educators in creating culturally-sensitive lCT-based learning environments are the difficulties of representing cultural artefacts in courseware and of having a model of 'culture' that can be implemented in lCT-based systems. A developing learning-object model is presented; one that can be adopted to address aspects of this problem by providing a systematic way to approach implementing and representing cultural artefacts in courseware. This also provides a basis for some aspects of computer-based cultural preservation initiatives. While this approach may have higher short term development costs, the potential long term cultural benefits to the society far outweigh short term considerations.

Adopting web-based learning and teaching: a case study in higher education

Most universities worldwide are becoming distance education providers through adopting web-based learning and teaching via the introduction of learning management systems that enable them to open their courses to both on- and off-campus students. Whether this is an effective introduction depends on factors that enable and impede the adoption of such systems and their related pedagogical strategies. This study examines such factors related to adopting a learning management system in a large multicampus urban Australian university. The research method used case study approaches and purposively selected the sample consisting of innovative teaching academics from across the university, who used web-based approaches to teach both on- and off-campus learners. The data were analyzed using a combination of Rogers' theory of diffusion of innovations and actor-network theory and revealed a series of enabling and impeding factors faced by pioneering technology-adopter teaching academics, some of which are technology related while others are policy related and common to large multicampus institutions. The study found that safe adoption environments recognizing career priorities of academics are a result of the continuous negotiation between the evolving institution and its innovative and creative staff. The article concludes with a series of conditions that would form a safe, enabling, and encouraging environment for technology-adopter teaching academics in a large multicampus higher education setting.

Accommodating learner diversity in web-based learning environments: imperatives for future developments

In this article, we focus on the use of Web-based learning environments for university students. We draw on an evaluation of an online environment that was developed to supplement face-to-face components of an undergraduate education unit in an Australian university. We explore learners' affective responses to this environment, finding that students' responses were often related to their familiarity with the learning environment, their skills and confidence with computer technology, and their preferred learning styles. It is not surprising to us that different students experienced the environment differently as this is the foundation of constructivist and socio-cultural understandings of learning. Yet, the models that currently predominate in the provision of online learning environments in universities offer very little in terms of responding and adapting to students' individual needs and preferences. Instead, online Web-based learning environments are most often designed to anticipate an average, or sometimes ideal, learner. We argue that designing for an imagined average or ideal learner does not adequately respond to the challenge of accommodating learner difference. If hopes for student-centred education are to be realised, future technological and pedagogical developments in online course provision need to be sophisticated enough to respond and adapt to individual students' needs and preferences across a wide range of variables.

Monitoring the performance of a microkernel based operating system and supported applications

The message passing microkernel based operating system is a class of operating system in which the policies are implemented using servers whose co-operation is supported by using a small hardware dependent layer called a microkernel. This thesis addresses the issue of reducing the performance deficiency by documenting the synthesis, development, implementation and assessment of a methodology and mechanisms for monitoring the performance of a message passing microkernel based operating system and supported processes. The methodology has been extensively evaluated to ensure that it can be used successfully to monitor performance.

An assessment of game based learning

‬This thesis uses the principles arising from both the literature review and surveys and experiements to further the understanding of game design that supports quality learning. These principles have been used to build two exemplar platforms that on a number of criteria and measures, represent generic principles concerning game-based learning.