Flooding requirements for biodiversity values along the Victorian floodplain of the Murray Valley

Overbank flooding of rivers is a key process in the maintenance of vegetation types and the species that rely on the floodplain forests and woodlands of northern Victoria. Yet the flooding requirements of species and vegetation types are poorly known. Here we present initial estimates of the water requirements for flood dependent Ecological Vegetation Classes (EVCs) and rare and threatened flora and fauna species associated with the floodplain of the Murray River and its tributaries. Some 110 EVCs were found to be at least partly flood-dependent on the Murray River floodplains. The total current extent of these EVCs in the study area is 224 247 ha, of which 162 266 ha are on public land. One hundred and twenty-four rare or threatened plant taxa and 62 threatened vertebrate fauna taxa (excluding fish) were classified as at least partly flood-dependent. These initial estimates provide important information for land and water managers and researchers alike.

The value of experiential learning for providing a contextual understanding of the construction process

This research investigates effectiveness of real site visits within an undergraduate course. Experiential learning is a process of providing education, based on the experiences and observations of real-world examples. Some of the theory of experiential learning has been used to examine whether site visits assist the students learning experience.

The results of the research show that students generally have a positive attitude towards site visits and see them as beneficial. Although the study identified that some aspects of construction technology could be easily replaced by computer simulations and the like, other aspects of the curriculum are more effectively taught by retaining real site visits. The research was intended to provide a more structured approach to determining the value of site-based learning in construction-related courses.

The manifestation of varieties of blended learning pedagogy (BLP) : interplay between academic, institutional and global pedagogy

Despite the increased recognition of the potential use of online technologies to deliver flexible and student-centered learning environments in higher education, there are numerous critiques that its usage does not transform the daily practices of teaching and learning. This paper draws on some of the findings from three case studies that explored the manifestation of blended learning pedagogies (BLP). Six academics teaching at three different higher education contexts at two different countries, namely Australia and Malaysia were interviewed. The study aimed to interrogate the different manifestation of BLP at the different contexts of higher education, highlighting the complex interplay between the users (academics), technology and the specific socio-cultural contexts. Focusing on the academic identities that are shaped and reshaped within its socio-cultural context, this study demonstrated the complexity and fluidity of the manifestation of the different varieties of BLP. It contributes to further understanding the ways in which online technologies are used in teaching and learning within context of global knowledge economy that emphasizes flexibility and active co-production of knowledge.

Case study of e-learning experts in Malaysia : impact of social capital and social networks

This paper examines the experiences of selected academics pioneering e-learning in Malaysian tertiary institutions. It begins with an overview of the broad factors shaping the Malaysian educational environment and then proceeds to examine the experience of individual teachers and e-learning programs. It takes an in-depth qualitative approach to engaging with this case study material drawing heavily on semi-structured interviews with key actors.
Conversations with several respondents suggested that the social networks of mentor relations found in the Malaysian case studies might be aptly described as ‘bamboo networks’. Bamboo, which happens to be plentiful in the Malaysian peninsula where these case studies are based, spreads from clump to clump through a series of underground connections involving a mature clump of bamboo sending out a subterranean runner, often over very long distances that then emerge into the open as a new bamboo clump.
All of those interviewed reported that they have found it difficult to find a support base in their first years of pioneering online developments. Consequently, they tended to fall back on their peer networks linked to the institutions at which they had studied. Prominent individuals championing e-learning in the institutions where they teach tend to form small groups for information sharing and networking. They do look to their management for tacit ‘permission’ rather than direct encouragement. Consequently, the active promotion of e-learning in Malaysia can be described as being ‘middle-down’ rather than ‘top-down’ in nature. That is to say, it is mid-level teachers that inspire those below them to join in the development of e-learning programs. They are internally driven and strongly motivated. In time, their activity should produce new generations of locally developed e-learning experts but this has yet to take place in a substantial fashion. This study shows that both men and women ‘academic guanxi’, or peer networks, play a key role in the adoption of online technologies. Key early adopters become change-agents by inspiring a small network of their peers and via their guanxi networks. It was also discovered that motivation is not simply an individual matter but is also about groups and peer networks or communities of exchange and encouragement. In the development of e-learning in Malaysia, there is very little activity that is not linked to small clusters of developers who are tied into wider networks through personal contacts.
Like clumping bamboo, whilst the local clusters tend to be easily seen, the longer-range ‘subterranean’ personal connections are generally not nearly so immediately obvious. These connections are often the product of previous mentoring relationships, including the relationships between influential teachers and their former postgraduate students. These relationships tend to work like bamboo runners: they run off in multiple directions, subterranean and unseen and then throw up new clumps that then send out fresh runners of their own.

A comparative study of supervised learning techniques for data-driven haptic simulation

This paper focuses on the choice of a supervised learning algorithm and possible data preprocessing in the domain of data-driven haptic simulation. This is done through a comparison of the performance of different supervised learning techniques with and without data preprocessing. The simulation of haptic interactions with deformable objects using data-driven methods has emerged as an alternative to parametric methods. The accuracy of the simulation depends on the empirical data and the learning method. Several methods were suggested in the literature and here we provide a comparison between their performance and applicability to this domain. We selected four examples to be compared: singular learning mechanism which is artificial neural networks (ANN), attribute selection followed by ANN learning process, ensemble of multiple learning techniques, and attribute selection followed by the learning ensemble. These methods performance was compared in the domain of simulating multiple interactions with a deformable object with nonlinear material behavior.

Using vignettes to evaluate the outcomes of student learning : data from the evaluation of the new social work degree in England

This paper reports the use of vignettes as a methodology to analyse the extent to which the new social work degree programmes enabled students to develop their analytical and reflective capabilities. Two vignettes, which focused on children and families and adult social care respectively, were developed for the study. Students were asked to respond in writing, from the perspective of a social worker, to a standard set of questions at the beginning (T1) and end of their degree programme (T2). Considering the responses to all questions across the two vignettes, a series of scales was developed to measure the key themes which had been identified by qualitative analysis. These included ‘Attention to process of relationships’ and ‘Social/structural/political awareness’. Responses were also rated as ‘descriptive’, ‘analytic’ or ‘reflective’.

Students from six universities in England participated. From an original sample of 222 students, it was possible to match 79 T1 and T2 responses. Analysis of variance demonstrated statistically significant increases in nine of the 11 themes and increases in ratings for analysis and reflection.

In conclusion, vignettes can be used to produce both qualitative and quantitative data in respect of changes in students’ acquisition of knowledge and skills over time.

Computational studies to understand the role of social learning in team familiarity and its effects on team performance

This paper concerns social learning modes and their effects on team performance. Social learning, such as by observing others' actions and their outcomes, allows members of a team to learn what other members know. Knowing what other members know can reduce task communication and co-ordination overhead, which helps the team to perform faster since members can devote their attention to their tasks. This paper describes agent-based simulation studies using a computational model that implements different social learning modes as parameters that can be controlled in the simulations. The results show that social learning from both direct and indirect observations positively contributes to learning about what others know, but the value of social learning is sensitive to prior familiarity such that minimum thresholds of team familiarity are needed to realise the benefits of social learning. This threshold increases with task complexity. These findings clarify the level of influence that sociality has on social learning and sets up a formal framework by which to conduct studies on how social context influences learning and group performance.

An application of machine learning techniques for the classification of glaucomatous progression

This paper presents an application of machine learning to the problem of classifying patients with glaucoma into one of two classes:stable and progressive glaucoma. The novelty of the work is the use of new features for the data analysis combined with machine learning techniques to classify the medical data. The paper describes the new features and the results of using decision trees to separate stable and progressive cases. Furthermore, we show the results of using an incremental learning algorithm for tracking stable and progressive cases over time. In both cases we used a dataset of progressive and stable glaucoma patients obtained from a glaucoma clinic.

A review of e-learning technologies – opportunities for teaching and learning

The number of different e-learning technologies available to support teaching and learning is growing exponentially. A major issue for faculty and educational developers in higher education is to determine which e-learning technology is most appropriate to support their particular teaching needs and provide optimum learning opportunities for students. Over the last few years a vast amount of literature has been published on e-learning technologies and how they are used in education Therefore the decision to use a particular technology should be based on sound research and clear evidence. This paper reviews many of these e-learning technologies and provides information regarding their use and the opportunities afforded by them.

Professional education using e-simulations : benefits of blended learning design

The use of digital, Web-based simulations for education and training in the workplace is a significant, emerging innovation requiring immediate attention. A convergence of new educational needs, theories of learning, and role-based simulation technologies points to educators’ readiness for e-simulations. As modern e-simulations aim at integration into blended learning environments, they promote rich experiential, constructivist learning.

Professional Education Using E-Simulations: Benefits of Blended Learning Design contains a broad range of theoretical perspectives on, and practical illustrations of, the field of e-simulations for educating the professions in blended learning environments. Readers will see authors articulate various views on the nature of professions and professionalism, the nature and roles that various types of e-simulations play in contributing to developing an array of professional capabilities, and various viewpoints on how e-simulations as an integral component of blended learning environments can be conceived, enacted, evaluated, and researched.