Description:
This paper focuses on the registration of supervisors as a crucial element in constructs and practices of postgraduate studies in Australian universities. It examines two processes in a number of Australian universities postgraduate divisions' practices in compilation of postgraduate supervisor registers-how people get onto the register, and how people get off it. It takes issue with the reliance on custom and tradition as a dominant practice of registration and/or deregistration for supervision of postgraduate research studies. It suggests a model of supervisor registration and deregistration as intentional and systematic intervention, based on literature deriving from research in postgraduate supervision which acknowledges the problematic natures of relationships between teaching, learning and knowledge production. In doing so, it examines issues of discursive practice and the problematic nature of power differentials in supervisor/supervisee relationships and the possibilities presented by both registration and deregistration for such relationships.
Description:
This paper focuses on the registration of supervisors as a crucial element in constructs and practices of postgraduate studies in Australian universities. It examines two processes in a number of Australian universities postgraduate divisions' practices in compilation of postgraduate supervisor registers-how people get onto the register, and how people get off it. It takes issue with the reliance on custom and tradition as a dominant practice of registration and/or deregistration for supervision of postgraduate research studies. It suggests a model of supervisor registration and deregistration as intentional and systematic intervention, based on literature deriving from research in postgraduate supervision which acknowledges the problematic natures of relationships between teaching, learning and knowledge production. In doing so, it examines issues of discursive practice and the problematic nature of power differentials in supervisor/supervisee relationships and the possibilities presented by both registration and deregistration for such relationships.
Description:
The authors extend their appreciation to the International Scientific Partnership Program ISPP at King Saud University for funding this research work through ISPP-78. This work is partially supported by China Postdoctoral Science Foundation ( 2019M651115 ).
Description:
The authors extend their appreciation to the International Scientific Partnership Program ISPP at King Saud University for funding this research work through ISPP-78. This work is partially supported by China Postdoctoral Science Foundation ( 2019M651115 ).
Description:
This paper presents a model of knowledge acquisition from definitions of data, information and knowledge. The model asserts that knowledge cannot exist outside of the human brain, and that any expression of the knowledge requires it to be transformed into information to be communicated outside of the brain. The model asserts that information is acquired through the sensors to the brain where it is processed with prior knowledge and that new knowledge can be created from the processing of information within the brain only. From a discussion of this model in the context of alternative viewpoints, it is concluded that the future focus for knowledge management should be toward human resource strategies that leverage human-intellectual capital within firms and for the dissemination and sharing of important information that promotes creativity and innovation within and between employees.
Description:
This study explores knowledge management within an Australian regional health care organization. Many barriers inherent in the organizational structure and design of the organization that are indicative of the public health sector have been identified and discussed. From the results and discussion it is concluded that new models, tools and techniques for knowledge management specific to the environment of the public sector and particularly the health sector are required.
Description:
Continuous monitoring of patient's physiological signs has the potential to augment traditional medical practice, particularly in developing countries that have a shortage of healthcare professionals. However, continuously streamed data presents additional security, storage and retrieval challenges and further inhibits initiatives to integrate data to form electronic health record systems. Blockchain technologies enable data to be stored securely and inexpensively without recourse to a trusted authority. Blockchain technologies also promise to provide architectures for electronic health records that do not require huge government expenditure that challenge developing nations. However, Blockchain deployment, particularly with streamed data challenges existing Blockchain algorithms that take too long to place data in a block, and have no mechanism to determine whether every data point in every stream should be stored in such a secure way. This article presents an architecture that involves a Patient Agent, coordinating the insertion of continuous data streams into Blockchains to form an electronic health record.
Description:
Studies in Health Technology and Informatics
Description:
This study empirically evaluates the effectiveness of different feature types for the classification of the first language of an author. In particular, it examines the utility of psycholinguistic features, extracted by the Linguistic Inquiry and Word Count (LIWC) tool, that have not previously been applied to the task of author profiling. As LIWC is a tool that has been developed in the psycholinguistic field rather than the computational linguistics field, it was hypothesized that it would be effective, both as a single type feature set because of its psycholinguistic basis, and in combination with other feature sets, because it should be sufficiently different to add insight rather than redundancy. It was found that LIWC features were competitive with previously used feature types in identifying the first language of an author, and that combined feature sets including LIWC features consistently showed better accuracy rates and average F measures than were achieved by the same feature sets without the LIWC features. As a secondary issue, this study also examined how effectively first language classification scaled up to a larger number of possible languages. It was found that the classification scheme scaled up effectively to the entire 16 language collection from the International Corpus of Learner English, when compared with results achieved on just 5 languages in previous research. 2012 ASIS&T.
Description:
This paper discusses the important support role that universities can play in the establishment and ongoing sustainability of regional information and communication technology (ICT) initiatives. Three case studies are presented to explore the uptake of ICT in a regional and rural context. A common element in each of these initiatives is the active participation of the University of Ballarat throughout all project phases. The resultant combination of on-the-ground leadership, infrastructure, collaboration and multi-disciplinary research has not only created benefits for the individual communities but also through the generation of consultancy income, publications and community engagement of a type which is highly consistent with the University’s vision and mission.
Description:
Over the past decade, anti-vaccination rhetoric has become part of the mainstream discourse regarding the public health practice of childhood vaccination. These utilise social media to foster online spaces that strengthen and popularise anti-vaccination discourses. In this paper, we examine the characteristics of and the discourses present within six popular anti-vaccination Facebook pages. We examine these large-scale datasets using a range of methods, including social network analysis, gender prediction using historical census data, and generative statistical models for topic analysis (Latent Dirichletallocation). We find that present-day discourses centre around moral outrage and structural oppression by institutional government and the media, suggesting a strong logic of 'conspiracy-style' beliefs and thinking. Furthermore, anti-vaccination pages on Facebook reflect a highly 'feminised' movement the vast majority of participants are women. Although anti-vaccination networks on Facebook are large and global in scope, the comment activity sub-networks appear to be 'small world'. This suggests that social media may have a role in spreading anti-vaccination ideas and making the movement durable on a global scale.
Exploring ways in which social networkers contribute to online groups : A case study of one facebook group's discussion of australian broadcaster channel 9 during the 2010 winter olympic games
Description:
Behavioral patterns for sensors have received a great deal of attention recently due to their usefulness in capturing the temporal relations between sensors in wireless sensor networks. To discover these patterns, we need to collect the behavioral data that represents the sensor's activities over time from the sensor database that attached with a well-equipped central node called sink for further analysis. However, given the limited resources of sensor nodes, an effective data collection method is required for collecting the behavioral data efficiently. In this paper, we introduce a new framework for behavioral patterns called associated-correlated sensor patterns and also propose a MapReduce based new paradigm for extract data from the wireless sensor network by distributed away. Extensive performance study shows that the proposed method is capable to reduce the data size almost 50% compared to the centralized model.
Description:
Behavioral patterns for sensors have received a great deal of attention recently due to their usefulness in capturing the temporal relations between sensors in wireless sensor networks. To discover these patterns, we need to collect the behavioral data that represents the sensor's activities over time from the sensor database that attached with a well-equipped central node called sink for further analysis. However, given the limited resources of sensor nodes, an effective data collection method is required for collecting the behavioral data efficiently. In this paper, we introduce a new framework for behavioral patterns called associated-correlated sensor patterns and also propose a MapReduce based new paradigm for extract data from the wireless sensor network by distributed away. Extensive performance study shows that the proposed method is capable to reduce the data size almost 50% compared to the centralized model.
Description:
While digital literacy may be understood and defined differently within disciplines, the concept is primarily about literacies rather than digital technologies or digital competence. Digital literacy involves finding, using and disseminating information in a digital world. Digital Literacy underpins teaching and research, regardless of discipline, and is an essential graduate skill for effective participation in employment and all aspects of life. Building on all Deakin Graduate Attributes, digital literacy already has a good foundation in many unit curricula, with many academic staff modelling aspects of this literacy both in their teaching and their research practice.
Description:
While digital literacy may be understood and defined differently within disciplines, the concept is primarily about literacies rather than digital technologies or digital competence. Digital literacy involves finding, using and disseminating information in a digital world. Digital Literacy underpins teaching and research, regardless of discipline, and is an essential graduate skill for effective participation in employment and all aspects of life. Building on all Deakin Graduate Attributes, digital literacy already has a good foundation in many unit curricula, with many academic staff modelling aspects of this literacy both in their teaching and their research practice.