Developing media production skills for literacy in a primary school classroom : digital materials, embodied knowledge and material contexts

This chapter investigates the relationship between technical and operational skills and the development of conceptual knowledge and literacy in Media Arts learning. It argues that there is a relationship between the stories, expressions and ideas that students aim to produce with communications media, and their ability to realise these in material form through technical processes in specific material contexts. Our claim is that there is a relationship between the technical and the operational, along with material relations and the development of conceptual knowledge and literacy in media arts learning. We place more emphasis on the material aspects of literacy than is usually the case in socio-cultural accounts of media literacy. We provide examples from a current project to demonstrate that it is just as important to address the material as it is the discursive and conceptual when considering how students develop media literacy in classroom spaces.

Efficiency of knowledge integration in enterprise systems implementation

Recent literature has emphasized the pivotal role of knowledge integration in Enterprise Systems (ES) success. This research-in-progress paper, building upon Knowledge Based Theory of the firm (KBT), examines the efficiency of knowledge integration in the context of ES implementation and identifies the factors contributing to its enhancement. The proposed model in this paper suggests that the efficiency of knowledge integration in an ES implementation process depends upon the level of common knowledge and the level of coordination in the ES adopting organization. It further suggests that the level of common knowledge can be enhanced by proper training, improving ES users’intrinsic and extrinsic motivations and business process modeling and the level of coordination can be improved by articulating a clear unified organizational goal for the ES adoption in the organization, forming a competent ES team, enhancing interdepartmental communication and the cross-functionality in the organization structure.

Redefining and leading the academic discipline in Australian universities

Disciplines have emerged as an alternative administrative structure to departments or schools in Australian universities. We presently investigate the pattern of discipline use and by way of case study examine a role for distributed leadership in discipline management. Over forty per cent of Australian universities currently employ disciplines, especially within faculties of sciences, engineering and medicine. No trend is observed according to institutional age, state, or historical origins. Effective planning, retention of corporate knowledge and good communication are important during the transition period. Moreover, it is vital that professional staff continue to work closely alongside academics as extended members of the discipline. Distributed leadership encourages this interaction. The duties of a discipline leader can be similar to those faced by a head of department. Universities should therefore establish clear policies, position descriptions and appropriate remuneration packages in order to recruit, train and retain staff within this emerging academic management role.

Strategies for mentoring pedagogical knowledge

Fundamental for mentoring a preservice teacher is the mentor’s articulation of pedagogical knowledge, which in this research draws upon specific practices, viz: planning, timetabling lessons, preparation, teaching strategies, content knowledge, problem solving, questioning, classroom management, implementation, assessment, and viewpoints for teaching. Mentoring is haphazard; consequently mentors need a pedagogical knowledge framework and a repertoire of pedagogical knowledge strategies to guide a preservice teacher’s development. Yet, what are strategies for mentoring pedagogical knowledge practices? This qualitative research investigates mentoring strategies assigned to pedagogical knowledge from 27 experienced mentor teachers. Findings showed that there were multiple strategies that can be linked to specific pedagogical knowledge practices. For example, mentoring strategies associated with planning for teaching can include co-planning, verbally reflecting on planning with the mentee, and showing examples of the mentor teacher’s planning (e.g., teacher’s plans, school plans, district and state plans). This paper provides a bank of practical strategies for mentoring pedagogical knowledge practices to assist a preservice teacher’s development.

Safety enhancement of water-filled road safety barrier using interaction of composite materials

Road safety barriers are used to redirect traffic at roadside work-zones. When filled with water, these barriers are able to withstand low to moderate impact speeds up to 50kmh-1. Despite this feature, there are challenges when using portable water-filled barriers (PWFBs) such as large lateral displacements as well as tearing and breakage during impact, especially at higher speeds. In this study, the authors explore the use of composite action to enhance the crashworthiness of PWFBs and enable their use at higher speeds. Initially, we investigated the energy absorption capability of water in PWFB. Then, we considered the composite action of a PWFB with the introduction of a steel frame to evaluate its impact on performance. Findings of the study show that the initial height of impact must be lower than the free surface level of water in a PWFB for the water to provide significant crash energy absorption. In general, impact of a road barrier that is 80% filled is a good estimation. Furthermore, the addition of a composite structure greatly reduces the probability of tearing by decreasing the strain and impact energy transferred to the shell container. This allows the water to remain longer in the barrier to absorb energy via inertial displacement and sloshing response. Information from this research will aid in the design of next generation roadside safety structures aimed to increase safety on modern roadways.

Combining elicited expert knowledge into Bayesian priors

Information that is elicited from experts can be treated as `data', so can be analysed using a Bayesian statistical model, to formulate a prior model. Typically methods for encoding a single expert's knowledge have been parametric, constrained by the extent of an expert's knowledge and energy regarding a target parameter. Interestingly these methods have often been deterministic, in that all elicited information is treated at `face value', without error. Here we sought a parametric and statistical approach for encoding assessments from multiple experts. Our recent work proposed and demonstrated the use of a flexible hierarchical model for this purpose. In contrast to previous mathematical approaches like linear or geometric pooling, our new approach accounts for several sources of variation: elicitation error, encoding error and expert diversity. Of interest are the practical, mathematical and philosophical interpretations of this form of hierarchical pooling (which is both statistical and parametric), and how it fits within the subjective Bayesian paradigm. Case studies from a bioassay and project management (on PhDs) are used to illustrate the approach.

Refined plastic hinge analysis of steel frame structures comprising non-compact sections : II : verification

Application of "advanced analysis" methods suitable for non-linear analysis and design of steel frame structures permits direct and accurate determination of ultimate system strengths, without resort to simplified elastic methods of analysis and semi-empirical specification equations. However, the application of advanced analysis methods has previously been restricted to steel frames comprising only compact sections that are not influenced by the effects of local buckling. A refined plastic hinge method suitable for practical advanced analysis of steel frame structures comprising non-compact sections is presented in a companion paper. The method implicitly accounts for the effects of gradual cross-sectional yielding, longitudinal spread of plasticity, initial geometric imperfections, residual stresses, and local buckling. The accuracy and precision of the method for the analysis of steel frames comprising non-compact sections is established in this paper by comparison with a comprehensive range of analytical benchmark frame solutions. The refined plastic hinge method is shown to be more accurate and precise than the conventional individual member design methods based on elastic analysis and specification equations.

Analytical benchmark solutions for steel frame structures subject to local buckling effects

Application of "advanced analysis" methods suitable for non-linear analysis and design of steel frame structures permits direct and accurate determination of ultimate system strengths, without resort to simplified elastic methods of analysis and semi-empirical specification equations. However, the application of advanced analysis methods has previously been restricted to steel frames comprising only compact sections that are not influenced by the effects of local buckling. A research project has been conducted with the aim of developing concentrated plasticity methods suitable for practical advanced analysis of steel frame structures comprising non-compact sections. This paper contains a comprehensive set of analytical benchmark solutions for steel frames comprising non-compact sections, which can be used to verify the accuracy of simplified concentrated plasticity methods of advanced analysis. The analytical benchmark solutions were obtained using a distributed plasticity shell finite element model that explicitly accounts for the effects of gradual cross-sectional yielding, longitudinal spread of plasticity, initial geometric imperfections, residual stresses, and local buckling. A brief description and verification of the shell finite element model is provided in this paper.

Knowledge transfer through dual degree programs between Australian and Indonesian universities : a case study

While dual degree programs (DDPs) between Australian and Indonesian universities are expected to facilitate knowledge transfer (KT) between the partnering universities, little is known about how and what KT process taking place within DDP partnerships. Using an inter-organisational KT framework, this study investigated Indonesian universities’ rationales and outcomes of establishing DDPs and mechanisms facilitating knowledge transfer between Australian and Indonesian universities. Two Indonesian universities along with their common Australian partner university participated in this case study. Semi-structured interviews were conducted with 27 key university officers and pertinent university documents provided the main data. Both data sources were thematically analysed to identify emerging patterns. The findings suggest that Indonesian universities prioritised developing capacity to improve their international recognition more than the Australian partner. Consequently, the DDPs benefited the Indonesian universities through capacity development made possible by KT from the Australian DDP partners. KT processes occurred in DDP partnerships, particularly through curriculum collaboration, but they were more limited for the managerial area. Factors enabling the KT included both technology-aided and face-to-face communication, intention to acquire knowledge from the partners, capitalising on the unequal power relations to advance KT opportunities, and knowledge management system. The findings of this study suggest the importance of prioritising capacity development in DDP partnerships to enable KT, executing the KT stages to ensure institutionalisation of acquired knowledge into the university’s systems and policies, and maintaining financial sustainability of the DDPs to reach mutually beneficial outcomes between Australian and Indonesian universities.

Mapping semantic knowledge for unsupervised text categorisation

Text categorisation is challenging, due to the complex structure with heterogeneous, changing topics in documents. The performance of text categorisation relies on the quality of samples, effectiveness of document features, and the topic coverage of categories, depending on the employing strategies; supervised or unsupervised; single labelled or multi-labelled. Attempting to deal with these reliability issues in text categorisation, we propose an unsupervised multi-labelled text categorisation approach that maps the local knowledge in documents to global knowledge in a world ontology to optimise categorisation result. The conceptual framework of the approach consists of three modules; pattern mining for feature extraction; feature-subject mapping for categorisation; concept generalisation for optimised categorisation. The approach has been promisingly evaluated by compared with typical text categorisation methods, based on the ground truth encoded by human experts.

Analyzing and defining information requirements of knowledge intensive construction management tasks on BIM

With the increasing popularity and adoption of building information modeling (BIM), the amount of digital information available about a building is overwhelming. Enormous challenges remain however in identifying meaningful and required information from a complex BIM model to support a particular construction management (CM) task. Detailed specifications of information required by different construction domains and expressive and easy-to-use BIM reasoning mechanisms are seen as an important means in addressing these challenges. This paper analyzes some of the characteristics and requirements of component-specific construction knowledge in relation to the current work practice and BIM-based applications. It is argued that domain ontologies and information extraction approaches, such as queries could significantly bring much needed support for knowledge sharing and integration of information between design, construction and facility management.

Maintaining shared knowledge of acquaintance : methods people use to establish who knows whom

Acquaintance is a fundamental determinant of how people behave when interacting with one another. This article focuses on how this type of personal knowledge is an important consideration for people as social actors. Studying naturally-occurring social encounters, I describe how speakers use particular references to convey whether a recipient should be able to recognise a non-present third party. On some occasions, however, the presumption of recognisability or non-recognisability that underpins the use of a particular reference proves questionable. By exploring how recipients can challenge reference forms, and thereby reject claims of either recognisability or non-recognisability, I explain how people establish and maintain a shared understanding of who knows whom. I conclude by discussing motivations for this behaviour, and thereby contribute to understanding the commonsense reasoning that underpins orderly conduct in this aspect of social encounters.

Indigenous knowledge and IP food security : a review of concepts and cases

Dáwat, Pamahándí, Tawíd, Ságda, Lampísa, Ibabások, Lapát, Panedlák: for most of us gathered here, these are words that we don’t usually use in our daily lives. Others may consider them as exotic, alien, funny and even backward. However, for indigenous kindred among us, these words denote an intimate identity and deep understanding of the world around them. It constitutes a broader knowledge system, be written or otherwise, which guides them in the management of resources within their ancestral land. This paper will provide a brief theoretical framework of the concepts of indigenous knowledge systems—hereinafter called IKS, and indigenous peoples food security, and hopefully a deeper or continued appreciation in the study of both concepts in general.