An adaptive event-based system for anytime, anywhere, awareness services in online teamworks

The fast development in mobile technologies is drastically changing the way people work, learn, collaborate and socialise. One such important activity that has emerged and is being consolidated more each time is the online learning through virtual campuses. While most of online learning services are at present offered through web-based platforms, due to ever-increasing use of smart devices such as smartphones and tablets, researchers and developers are paying attention to exploit the advantages of mobile systems to support online learning. Specifically, the implementation of the A3 paradigm: anytime, anywhere, awareness - that is, notifying users about ongoing activity in their online workspace - provides various advantages to online learners organised in online teams. In this paper, we present the requirement analysis, the building blocks of the architecture for efficient event-based system and a prototype implementation of the A3 paradigm that adaptively supports the online collaborative activity.Peer ReviewedPostprint (author's final draft

An adaptive event-based system for anytime, anywhere, awareness services in online teamworks

The fast development in mobile technologies is drastically changing the way people work, learn, collaborate and socialise. One such important activity that has emerged and is being consolidated more each time is the online learning through virtual campuses. While most of online learning services are at present offered through web-based platforms, due to ever-increasing use of smart devices such as smartphones and tablets, researchers and developers are paying attention to exploit the advantages of mobile systems to support online learning. Specifically, the implementation of the A3 paradigm: anytime, anywhere, awareness - that is, notifying users about ongoing activity in their online workspace - provides various advantages to online learners organised in online teams. In this paper, we present the requirement analysis, the building blocks of the architecture for efficient event-based system and a prototype implementation of the A3 paradigm that adaptively supports the online collaborative activity.Peer Reviewe

Partners in learning : proceedings of the 12th annual Teaching and Learning Forum, Edith Cowan University, 11-12 February 2003

This publication of selected papers addressing the 12th Annual Teaching and Learning Forum theme of Partners in Learning provides an overview of the issues facing staff in higher education in Australia. The articles chosen for this post-forum publication provide innovative ideas that bring the opportunity to share and learn about teaching and learning into focus as lecturers consider ways to improve students’ learning and experiences in higher education through partnerships with them and with others. With the advent of Higher Education at the Crossroads by Federal Minister Brendan Nelson, it is evident that staff will face new challenges

An Integrative Analytical Framework for Internet of Things Security, Forensics and Intelligence

The Internet of things (IoT) has recently become an important research topic because it revolutionises our everyday life through integrating various sensors and objects to communicate directly without human intervention. IoT technology is expected to offer very promising solutions for many areas. In this thesis we focused on the crime investigation and crime prevention, which may significantly contribute to human well-being and safety. Our primary goals are to reduce the time of crime investigation, minimise the time of incident response and to prevent future crimes using collected data from smart devices. This PhD thesis consists of three distinct but related projects to reach the research goal. The main contributions can be summarised as: • A multi-level access control framework, presented in Chapter 3. This could be used to secure any collected and shared data. We decided to have this as our first contribution as it is not realistic to use data that could be altered in our prediction model or as evidence. We chose healthcare data collected from ambient sensors and uploaded to cloud storage as an example for our framework as this data is collected from multiple sources and is used by different parties. The access control system regulates access to data by defining policy attributes over healthcare professional groups and data classes classifications. The proposed access control system contains policy model, architecture model and a methodology to classify data classes and healthcare professional groups. • An investigative framework, that was discussed in Chapter 4, which contains a multi-phased process flow that coordinates different roles and tasks in IoT related-crime investigation. The framework identifies digital information sources and captures all potential evidence from smart devices in a way that guarantee potential evidence is not altered so it can be admissible in a court of law. • A deep learning multi-view model, which we demonstrated in Chapter 5, that explores the relationship between tweets, weather (a type of sensory data) and crime rate, for effective crime prediction. This contribution is motivated by the need to utilise police force deployment correctly to be present at the right times. Both the proposed investigative framework and the predictive model were evaluated and tested, and the results of these evaluations are presented in the thesis. The proposed framework and model contribute significantly to the field of crime investigation and crime prediction. We believe their application would provide higher admissibility evidence, more efficient investigations, and optimum ways to utilise law enforcement deployment based on crime rate prediction using collected sensory data

The ball is in your court: a phenomenological study examining college athletes with learning disabilities and/or ADHD on college campuses.

Approximately only 1% of scholarly top-tier higher education published research focuses on the experiences of students with disabilities since the passing of the ADA in 1990 (Pena, 2014). Even fewer studies have explored the learning-disabled collegiate athlete experience. The purpose of this emerging phenomenological study is to understand the lived experiences of college athletes with learning disabilities and/or ADHD at NCAA Division 1 FBS institutions, giving voice to the untold stories, and commonalities amongst this population. This study provides findings grounded in student perspective by examining their experiences related to disability disclosure, self-advocacy, and academic support within the college environment. Five college athletes with ADHD and/or a learning disability participated in 90-minutes interviews. Three major themes emerged throughout the data including reactions and perceptions of others, being vocal and persistent, and building rapport and relationships. The results of this study help inform practitioners on best practices individually and systemically

Develop and Standardize a DOT&PF Statewide Airport Construction Specifications Updating Process

A Project Submitted in Partial Fulfillment of the Requirements For the Degree of MASTER OF SCIENCE In Project ManagementThis research study evaluates the operational performance of an experimental process model developed to provide a systematic and repeatable approach to updating the Alaska Department of Transportation and Public Facilities (DOT&PF) Statewide Standard Airport Construction (SSAC) specifications to comply with the Federal Aviation Administration’s (FAA’s) Advisory Circular (AC) 150/5370-10H – Standard Specifications for Construction of Airports, (10H). In order to develop and standardize an effective process within DOT&PF, this study must examine how a large government organization, like DOT&PF, implements change. This study also discusses which key Project Management Institute’s (PMI’s) knowledge areas provide the framework for initiating, planning, and executing an implementation phase of this experimental process model on two specification sections, P-401 – Asphalt Mix Pavement (P-401) and P-318 – Foamed Asphalt Stabilized Base Course (P-318). P-401 is also referred to in this study as the “Beta Test case” and P-318 as the “Trial Run case”

The Effects of IT, Task, Workgroup, and Knowledge Factors on Workgroup Outcomes: A Longitudinal Investigation

In order to successfully manage the knowledge-related processes occurring in their workgroups, organizations need to understand how different contingency factors affect the knowledge-related processes of a workgroup, ultimately affecting the workgroup\u27s knowledge outcomes and performance. To obtain a deeper understanding of the longitudinal effects of different contingency factors on knowledge outcomes and performance of workgroups, this dissertation was guided by the research question: Which factors, from the five categories of factors (a) characteristics of the workgroup; (b) characteristics of the tasks assigned to the workgroup; (c) the interface between the workgroup and the tasks; (d) characteristics of the knowledge required to complete the tasks; and (e) characteristics of the information technologies, affect workgroup outcomes, including (i) average consensus among a workgroup\u27s members about each other\u27s areas of knowledge; (ii) average accuracy of knowledge; and (iii) performance of the workgroup, over time, and in what way? Workgroup processes considered were categorized into three groups: processes related to scheduling of tasks, processes related to completion of tasks and processes accompanying those related to completion of tasks. Results indicate that only a subset of contingency factors from each category affect each of the workgroup outcomes. Specifically, average task priority, average knowledge-intensity of subtasks, average propensity to share, time in training phase, probability of non-specific exchange, number of agents, number of locations and average project intensity were found to have a positive effect on average consensus, while average task intensity, average self-knowledge and average number of tasks per agent had negative effect on average consensus. In the case of average accuracy of knowledge, average knowledge level and number of agents were found to have a positive significant effect. Finally, in the case of percentage of project completed, average propensity to share, average knowledge level, average self-knowledge, and time in training phase were found to have a positive significant effect, while average knowledge intensity of subtasks, richness of email, and average direction time were found to have a negative significant effect. Average number of tasks per agent was found to have a significant negative effect between workgroups and positive significant effect within workgroups