Advancing community engagement practice for strategic urban planning : learning from allied and remote disciplines

Urban planning has the potential to draw on allied and remote disciplines to improve community consultation processes for strategic planning projects. Urban design and landscape architecture have quantitative and qualitative methods which can be utilised to visualise different options of urban intensification which may fit within communities’ expectations of change. Furthermore political science has long used scientifically established psychometric techniques to collect data from broad sections of the population, analysing demographic profiles of communities and understanding their perceptions and attitudes. By appropriating quantitative and qualitative methods from other disciplines, urban planning policies can be developed which may reflect communities’ aspirations of amenity and neighbourhood character. The aim of this paper is to assist local government urban planners with their community engagement practice in order to form policies which are acceptable to the affected communities. The paper draws on Victoria as a case study of community engagement practice, examines research methods from allied and remote disciplines and proposes a community engagement framework which introduces rigour within the community engagement process.

Automatic network traffic classification

The thesis addresses a number of critical problems in regard to fully automating the process of network traffic classification and protocol identification. Several effective solutions based on statistical analysis and machine learning techniques are proposed, which significantly reduce the requirements for human interventions in network traffic classification systems.

Early adoption of mobile devices : a social network perspective

As mobile devices have become the personal information-processing interface of choice, many individuals seem to swiftly follow fashion. Yet, the literature is silent on how early adopters of mobile devices overcome uncertainties related to shifts in technology. Based on purposive sampling, this paper presents detailed insights into why and how five closely related individuals made the decision to adopt the iPhone before it was available through traditional supply chains. Focusing on the role played by social networks, we analyze how adoption threshold, opinion leaders, social contagion, and social learning shaped adoption behaviors and outcomes. The analyses confirm that network structures impact the early decision to accept the iPhone; they show that when facing uncertainty, adoption decisions emerged as a combined result of individual adoption reflections and major influences from the social network as well as behaviors observed within the network, and, they reveal interesting behaviors that differed from expectations. In conclusion, we discuss implications for both theory and practice.

The role of industry supervisors in providing feedback to students as part of the assessment process in Work Integrated Learning (WIL)

 ATN : Australian University Technology Network

Early adoption of mobile devices : a social network perspective

As mobile devices have become the personal information-processing interface of choice, many individuals seem to swiftly follow fashion. Yet, the literature is silent on how early adopters of mobile devices overcome uncertainties related to shifts in technology. Based on purposive sampling, this paper presents detailed insights into why and how five closely related individuals made the decision to adopt the iPhone before it was available through traditional supply chains. Focusing on the role played by social networks, we analyze how adoption threshold, opinion leaders, social contagion, and social learning shaped adoption behaviors and outcomes. The analyses confirm that network structures impacted the early decision to accept the iPhone; they show that when facing uncertainty, adoption decisions emerged as a combined result of individual adoption reflections and major influences from the social network as well as behaviors observed within the network; and, they reveal interesting behaviors that differed from expectations. In conclusion, we discuss implications for both theory and practice.

Principal led school improvement and teacher capacity building in the Barwon South Network : final report, May 2013

The period of interest for this report is the beginning of 2011 to the end of 2012. The period commenced when the Regional Network Leader of the Barwon South Network of schools in the Barwon South Region of the Department of Education and Early Childhood contacted the School of Education at Deakin University, Waurn Ponds Campus Geelong. The Regional Network Leader outlined a desire to engage with Deakin University to research a short-term-cycle model of school improvement to be implemented in the region. While the model was expected to be taken on by all schools in the region the research was limited to the 23 schools in the Barwon South Network with four schools to be investigated more closely for each of two years (2001 & 2012) – eight focus schools in total.

Many positive outcomes flowed from the implementation of short-term-cycle school improvement plans and their associated practices but there was wide variation in the nature and degrees of success and of the perception of the process. The research team asked the following questions of the data:

1. What aspects of the School Improvement Plan (SIP) approach were important for initiating and supporting worthwhile change?
2. What might we take from this, to provide guidance on how best to support change in teaching and learning processes in schools?

The School Improvement Plan (SIP) worked in a range of ways. At one level it was strongly focused on school leadership, and a need to improve principals’ capacity to initiate worthwhile teaching and learning processes in their schools. Underlying this intent, one might think an assumption is operation is that the leadership process involves top down decision-making and a willingness to hold staff accountable for the quality of their practice.

The second strong focus was on the translation into practice and the consequent effect on student learning, involving an emphasis on data and evidence led practice. Hence, along with the leadership focus there was a demand for the process of school improvement to reach down into students and classrooms. Thus, the SIP process inevitably involved a chain of decision-making by which student learning quality drove the intervention, and teachers responsible for this had a common view. The model therefore should not be seen as an intervention only on the principal, but rather on the school decision-making system and focus. Even though it was the principal receiving the SIP planning template, and reporting to the network, the reporting was required to include description of the operation of the school processes, of classroom processes, and of student learning. This of course placed significant constraints on principals, which may help explain the variation in responses and outcomes described above.

The findings from this study are based on multiple data sources: analysis of both open and closed survey questions which all teachers in the 23 schools in the network were invited to complete; interviews with principals, teachers and leaders in the eight case study schools; some interviews with students in the case study schools; and interviews with leaders who worked in the regional network office; and field notes from network meetings including the celebrations days. Celebrations days occurred each school term when groups of principals came together to share and celebrate the improvements and processes happening in their schools. Many of the themes emerging from the analysis of the different data sources were similar or overlapping, providing some confidence in the evidence-base for the findings.

The study, conducted over two years of data collection and analysis, has demonstrated a range of positive outcomes in at the case study schools relating to school communication and collaboration processes, professional learning of principals, leadership teams and classroom teachers. There was evidence in the survey responses and field notes from ‘celebration days’ that these outcomes were also represented in other schools in the network. The key points of change concerned the leadership processes of planning for improvement, and the rigorous attention to student data in framing teaching and learning processes. This latter point of change had the effect of basing SIP processes on a platform of evidence-based change. The research uncovered considerable anecdotal and observational evidence of improvements in student learning, in teacher accounts in interview, and presentations of student work. Interviews with students, although not as representative as the team would have liked, showed evidence of student awareness of learning goals, a key driver in the SIP improvement model. It was, however, not possible over this timescale to collect objective comparative evidence of enhanced learning outcomes.

A number of features of the short-term-cycle SIP were identified that supported positive change across the network. These were: 1) the support structures represented by the network leader and support personnel within schools, 2) the nature of the SIP model – focusing strongly on change leadership but within a collaborative structure that combined top-down and bottom-up elements, 3) the focus on data-led planning and implementation that helped drill down to explicit elements of classroom practice, and 4) the accountability regimes represented by network leader presence, and the celebration days in which principals became effectively accountable to their peers. We found that in the second year of the project, momentum was lost in the case study schools, as the network was dismantled. This raised issues also for the conduct of research in situations of systemic change.

Alongside the finding of evidence of positive outcomes in the case study schools overall, was the finding that the SIP processes and outcomes varied considerably across schools. A number of contextual factors were identified that led to this variation, including school histories of reform, principal management style, and school size and structure that made the short-term-cycle model unmanageable. In some cases there was overt resistance to the SIP model, at least in some part, and this led to an element of performativity in which the language of the SIP was conscripted to other purposes. The study found that even with functioning schools the SIP was understood differently and the processes performed differently, raising the question of whether in the study we are dealing with one SIP or many. The final take home message from the research is that schools are complex institutions, and models of school improvement need to involve both strong principled features, and flexibility in local application, if all schools’ interests in improving teaching and learning processes and outcomes are to be served.

Social media as a learning environment : how, why, where and when people learn

This paper reports on an 18-month high school action research study and how this could be used to inform course designers and educators in other sectors of education. The high school study focused on the integration of social media into the face-to-face classroom. It used action research in a Victorian public high school in a total of 13 of the author’s classes. Data collection was in three phases over an eighteen month period. This involved the teacher creating one online social network and sharing this dynamic environment with up to seven classes in a semester. Blogs, groups, chats, discussion forums, Web 2.0 tools and a wide range of student-generated content were shared online, within a class and between classes. Students were encouraged to interact and to share their thoughts and ideas about planning as well as using their out-of-school skills and knowledge. Each topic, within each class, was one action research cycle. A number of the findings from this high school study were integrated into post-secondary education subjects at Deakin University. In an era of social media, this high school study has provided insight into how, why, where and when students learn, and by blending many of the findings into Deakin University courses, this study offers a new way of approaching teaching and learning in the broader notion of tertiary education and training.

Leading WIL: A distributed leadership approach to enhance work integrated learning : final report 2014

Work Integrated Learning (WIL) provides rich, relevant learning through a partnership between universities and employers. Through a collaborative approach to building knowledge, the capability and capacity of experienced WIL leaders in the university and orkplace will be enhanced for improved student outcomes. Having established how and where WIL leadership is situated, the project will identify the critical challenges to WIL leadership capabilities and structures. Through institutionally-based Master Classes that model and employ a distributed learning approach, through national Communities of Practice and a WIL Leadership Summit, a framework and guidelines to support WIL leadership capacity building nationally will be developed, trialled and validated. The project will draw upon expertise and experiences of staff from five Australian universities, each with a demonstrated strong WIL commitment. The distributive leadership approach to WIL will be developed and tested within employer-based individual disciplines. The framework and guidelines will be sustained nationally through the key WIL professional association, the Australian Collaborative Education Network.

The Popular Education Network of Australia (PENA) and Twenty-First-Century critical education

Drawing on the philosophies and writings of Paulo Freire regarding education as activism, this paper will explore the history and activities of the Popular Education Network of Australia (PENA). The network, founded in 2009, involves educators, academics and community workers, working together on issues relating to critical pedagogy and social change in schools, communities and adult education contexts. Two symposia have been organised on critical education in Australia. In 2010, ‘Teaching and Learning for Social Justice and Action’ was the inaugural gathering. In 2012, ‘Freire Reloaded: Learning and Teaching to Change the World’ featured a diverse range of workshops and Professor Antonia Darder as keynote speaker and observer. Through the perspectives and experiences of five academics involved in PENA, this paper will explore the group’s activities and reflect on the inspiration drawn from the work of Freire, Darder and others. Creating spaces for discussion of critical pedagogy affords opportunities for academics, educators, teachers and activists to reflect on their practice and also leads to further spontaneous networking and planning of action. In this paper we argue that there is continuing importance, in fact urgency, in producing places and spaces for conscientisation to occur, and for examples of critical education to be shared amongst 21st century educators.

Patient admission prediction using a pruned fuzzy min–max neural network with rule extraction

A useful patient admission prediction model that helps the emergency department of a hospital admit patients efficiently is of great importance. It not only improves the care quality provided by the emergency department but also reduces waiting time of patients. This paper proposes an automatic prediction method for patient admission based on a fuzzy min–max neural network (FMM) with rules extraction. The FMM neural network forms a set of hyperboxes by learning through data samples, and the learned knowledge is used for prediction. In addition to providing predictions, decision rules are extracted from the FMM hyperboxes to provide an explanation for each prediction. In order to simplify the structure of FMM and the decision rules, an optimization method that simultaneously maximizes prediction accuracy and minimizes the number of FMM hyperboxes is proposed. Specifically, a genetic algorithm is formulated to find the optimal configuration of the decision rules. The experimental results using a large data set consisting of 450740 real patient records reveal that the proposed method achieves comparable or even better prediction accuracy than state-of-the-art classifiers with the additional ability to extract a set of explanatory rules to justify its predictions.

vPELS : An e-learning social environment for VLSI design with content security using DRM

This article provides a proposal for personal e-learning system (vPELS [where 'v' stands for VLSI: very large scale integrated circuit])) architecture in the context of social network environment for VLSI Design. The main objective of vPELS is to develop individual skills on a specific subject - say, VLSI - and share resources with peers. The authors' system architecture defines the organisation and management of the personal learning environment in such a way as to aid in creating, verifying and sharing learning artefacts and making money at the same time. The authors also focus in their research on one of the most interesting arenas in digital content or document management - Digital Rights Management (DRM) - and its application to e-learning.

Critical Indigenous pedagogy meets transformative education in a third space learning experience

This paper explores the philosophical and theoretical foundations of a first year unit in Aboriginal Studies offered at the University of Notre Dame in Fremantle. It explains how the current approach is inclusive of transformative and critical Indigenous pedagogies and taught from an evolving ‘third space’. Each philosophical underpinning is considered briefly, with reference to informal feedback received from students in 2014. What is suggested is that AB100 is indeed transformational for students in ways that are potentially ongoing in both professional and personallives. Given the focus of the University of Notre Dame on training students for the professions this has implications for potential ways of teaching and learning that may require uncapping the usual teaching and learning frameworks to actively incorporate transformative and Indigenous pedagogies. Recommended is the need for further investigation and research into the impact of this approach to learning via an evaluation framework based upon the authors PhD outcomes

Transfer learning using the online FMM model

In this paper, we present an analysis on transfer learning using the Fuzzy Min-Max (FMM) neural network with an online learning strategy. Transfer learning leverages information from the source domain in solving problems in the target domain. Using the online FMM model, the data samples are trained one at a time. In order to evaluate the online FMM model, a transfer learning data set, based on data samples collected from real landmines, is used. The experimental results of FMM are analyzed and compared with those from other methods in the literature. The outcomes indicate that the online FMM model is effective for undertaking transfer learning tasks.