Mastery Motivation in Children with Down Syndrome : Promoting and Sustaining Interest in Learning

Motivation is central to children’s learning. Without persistent effort, especially in the face of failure, and an eagerness to engage in challenging tasks, individuals are unlikely to learn as effectively as they might. Because of their cognitive impairments, children with Down syndrome will almost certainly have difficulties with learning. These difficulties will be ameliorated somewhat by strong engagement with learning activities whereas problems with motivation are likely to further jeopardise their academic progress as well as potentially limiting achievements in other areas of life. In this chapter we begin with a general overview of motivation. Using the framework of mastery motivation, we review the relatively small amount of research about children with Down syndrome. We identify the individual characteristics and features of children’s environments that are likely to be related to lower or higher levels of mastery motivation. In the final section, we consider implications for educators and then draw together the findings to provide a set of recommendations for future research.

Designing for participation in local suburban communications

People have difficulty accessing means to easily publicise and discuss their ideas and concerns with their local community. The aim of this research has been to design and evaluate capacity for Internet technologies coupled with public displays to engage a diverse range of community members in the making of a shared local suburban communications network. The research problem relates to the challenges of community building, in particular discovering mechanisms that work to engage a target community and motivate participation. In an effort to understand genuine participation and barriers to use, the study was embedded in a local community and purposely longitudinal. This research contributes knowledge about the limitations of public displays to increase visibility of local communications, the need for long-term and networked visibility of community-building communications, the integral role of community facilitators, and the challenges of sustaining shared communications.

Literacy education in a changing policy environment : introduction

Literacy has long been at the heart of discussions about improving the quality and equitable distribution of educational outcomes. The last decade, however, has seen a dramatic redirection of policy effort in this regard. The effects of this policy redirection are playing out now; it may be that new policy emphases may have consequences for how educators think about what matters in literacy, how they can, and should, make judgements about what matters, and how they can, and should, act on those judgements. This issue of the Journal focuses on the changing landscape of policy and practice in literacy education. Educators in many countries have encountered increasingly intensive government moves to centralise and standardise school education. In Australia national testing of literacy and numeracy began relatively recently. The results for individual schools have been publically reported since 2009. Following trialling in 2010 and 2011, most states and sectors are now beginning to implement new Australian curriculum in English, Mathematics, Science and History...

Concealing their communication : exploring psychosocial predictors of young drivers’ intentions and engagement in concealed texting

Making a conscious effort to hide the fact that you are texting while driving (i.e., concealed texting) is a deliberate and risky behaviour involving attention diverted away from the road. As the most frequent users of text messaging services and mobile phones while driving, young people appear at heightened risk of crashing from engaging in this behaviour. This study investigated the phenomenon of concealed texting while driving, and utilised an extended Theory of Planned Behaviour (TPB) including the additional predictors of moral norm, mobile phone involvement, and anticipated regret to predict young drivers’ intentions and subsequent behaviour. Participants (n = 171) were aged 17 to 25 years, owned a mobile phone, and had a current driver’s licence. Participants completed a questionnaire measuring their intention to conceal texting while driving, and a follow-up questionnaire a week later to report their behavioural engagement. The results of hierarchical multiple regression analyses showed overall support for the predictive utility of the TPB with the standard constructs accounting for 69% of variance in drivers’ intentions, and the extended predictors contributing an additional 6% of variance in intentions over and above the standard constructs. Attitude, subjective norm, PBC, moral norm, and mobile phone involvement emerged as significant predictors of intentions; and intention was the only significant predictor of drivers’ self-reported behaviour. These constructs can provide insight into key focal points for countermeasures including advertising and other public education strategies aimed at influencing young drivers to reconsider their engagement in this risky behaviour.

Murray Valley Encephalitis

Outbreaks of an acute, severe, encephalitic illness, clinically similar to Japanese and St. Louis encephalitis, occurred in rural areas of southeastern Australia in 1917, 1918, 1922, 1925, 1951, and 1974[1,9,14-16] and in north and northwestern Australia in 1981, 1993, and 2000.[8,12,41] Approximately 420 cases were reported in these nine outbreaks.[41] They are thought to represent a single entity for which various names (Australian X disease, Murray Valley encephalitis, Australian encephalitis) have been used. Twenty-two cases were diagnosed in the 5 years between 2007 and 2011; three were fatal, and one of the fatalities occurred in a Canadian tourist on return from a holiday in northern Australia. Case-fatality rates, as high as 70 percent in the early years,[9,11] declined to 20 percent in the 1974 outbreak and have remained at about this level since then.[5,10,12] However, significant residual neurologic disability occurs in as many as 50 percent of survivors.[10,12] The presence of this disease in Papua New Guinea was confirmed in 1956.[20] The causative virus was transmitted to experimental animals as early as 1918,[6,11] although those strains could not be maintained. The definitive isolation and characterization of Murray Valley encephalitis virus in 1951[19] led to epidemiologic studies that suggested its survival in bird-mosquito cycles in northern Australia but not in the area of epidemic occurrence in southern Australia.[1] Murray Valley encephalitis is caused by Murray Valley encephalitis virus. In an effort to dissociate a disease from a specific locality, the term Australian encephalitis was proposed by residents of Murray Valley for the disease caused by Murray Valley encephalitis virus. Some researchers subsequently have attempted to expand the term Australian encephalitis to include encephalitis caused by any Australian arbovirus. Because the term Australian encephalitis has no scientific validity and is ambiguous, it should not be used.

EUELC project : a multi-centre, multipurpose study to investigate early stage NSCLC, and to establish a biobank for ongoing collaboration

The European Early Lung Cancer (EUELC) project aims to determine if specific genetic alterations occurring in lung carcinogenesis are detectable in the respiratory epithelium. In order to pursue this objective, nonsmall cell lung cancer (NSCLC) patients with a very high risk of developing progressive lung cancer were recruited from 12 centres in eight European countries: France, Germany, southern Ireland, Italy, the Netherlands, Poland, Spain and the UK. In addition, NSCLC patients were followed up every 6 months for 36 months. A European Bronchial Tissue Bank was set up at the University of Liverpool (Liverpool, UK) to optimise the use of biological specimens. The molecular - pathological investigations were subdivided into specific work packages that were delivered by EUELC Partners. The work packages encompassed mutational analysis, genetic instability, methylation profiling, expression profiling utilising immunohistochemistry and chip-based technologies, as well as in-depth analysis of FHIT and RARβ genes, the telomerase catalytic subunit hTERT and genotyping of susceptibility genes in specific pathways. The EUELC project engendered a tremendous collaborative effort, and it enabled the EUELC Partners to establish protocols for assessing molecular biomarkers in early lung cancer with the view to using such biomarkers for early diagnosis and as intermediate end-points in future chemopreventive programmes. Copyright©ERS Journals Ltd 2009.

Could MOOCs answer the problems of teaching AQF required skills in Australian tertiary programmes?

From 2015, Australian universities will be required to demonstrate that their programmes explicitly teach, and assess achievement of, knowledge and skills and the application of both as specified by the Australian Qualifications Framework (AQF). Over the last twenty years, the sector has applied significant effort and resource to embedding the development of skills through tertiary programmes. Despite these national and institutional efforts, employer and industry concerns remain about the quality of graduate skills. The authors propose a ‘massive open online course’ (MOOC) approach to teaching and assessing AQF required skills. As an example the paper identifies the skills modules that would need to be developed by experts in each skill area for AQF level 9 master’s by coursework programmes. The proposed MOOC would include assessment tasks and rubrics allowing students to develop and demonstrate achievement of the AQF required skills. The assessment tasks could be used by institutions to provide evidence of attainment of coursework master’s standards.

‘We’ve always cooked kangaroo. We still cook kangaroo. Although sometimes we use cookbooks now’ : Aboriginal Australians and cookbooks

Aboriginal Australians have a long history of eating native animals and plants. Food preparation techniques were handed down through the generations, without any need for cookbooks. But colonisation changed the diets of Aboriginal Australians, introducing us to a processed diet high in salt, sugar and fat, and causing a wide range of diet-related health problems. Over the years, many Aboriginal Australians lost their connections to traditional food preparation practices. In this paper, the authors provide a brief overview of Aboriginal food history and describe a newly-emerging focus on reintroducing native foods. They describe the work of an Aboriginal chef, Dale Chapman, who is actively promoting native foods and creating a native-Western food fusion. Chapman has developed native food recipes and a cookbook, in an effort to make native foods accessible to all Australians. She promotes a future when native foods are part of the identity of all Australians – both Aboriginal and non-Aboriginal.

A theory of process modelling impact

Process modelling – the design and use of graphical documentations of an organisation’s business processes – is a key method to document and use information about business processes. Still, despite current interest in process modelling, this research area faces essential challenges. Key unanswered questions concern the impact of process modelling in organisational practice, and the mechanisms through which impacts are developed. To answer these questions and to provide a better understanding of process modelling impact, I turn to the concept of affordances. Affordances describe the possibilities for goal-oriented action that technical objects offer to specified users. This notion has received growing attention from IS researchers. I report on my efforts to further develop the IS discipline’s understanding of affordances and impacts from informational objects, such as process models used by analysts for purposes of information systems analysis and design. Specifically, I seek to extend existing theory on the emergence and actualisation of affordances. I develop a research model that describes the process by which affordances are perceived and actualised and explain their dependence on available information and actualisation effort. I present my plans for operationalising and testing this research model empirically, and provide details about my design of a full-cycle, mixed methods study currently in progress.

The bioeconomics of nutritional poverty and child labour

This paper provides a bio-economic foundation of fertility and child labor. Drawing on the clinical and physiological literature, the model highlights the interaction between work efforts of adults and children, their subsistence consumption, and fertility. The subsistence consumption requirements are endogenous to physical efforts. Parents engaged in physically demanding occupations (e.g. non-mechanized agriculture) are likely to suffer from energy deficiency, leading to reduced future work-capacity. Consumption smoothing occurs through bearing a large number of children who provide income support as adults. Although net cost of an additional child is positive, the cost is balanced by the additional income accruing though child employment. In contrast, parents in low-physical effort occupations are less likely to su¤er from nutritional deficiency, and thus tend to have lower fertility and child labor.

The use of acoustic indices to determine avian species richness in audio-recordings of the environment

Interpreting acoustic recordings of the natural environment is an increasingly important technique for ecologists wishing to monitor terrestrial ecosystems. Technological advances make it possible to accumulate many more recordings than can be listened to or interpreted, thereby necessitating automated assistance to identify elements in the soundscape. In this paper we examine the problem of estimating avian species richness by sampling from very long acoustic recordings. We work with data recorded under natural conditions and with all the attendant problems of undefined and unconstrained acoustic content (such as wind, rain, traffic, etc.) which can mask content of interest (in our case, bird calls). We describe 14 acoustic indices calculated at one minute resolution for the duration of a 24 hour recording. An acoustic index is a statistic that summarizes some aspect of the structure and distribution of acoustic energy and information in a recording. Some of the indices we calculate are standard (e.g. signal-to-noise ratio), some have been reported useful for the detection of bioacoustic activity (e.g. temporal and spectral entropies) and some are directed to avian sources (spectral persistence of whistles). We rank the one minute segments of a 24 hour recording in descending order according to an "acoustic richness" score which is derived from a single index or a weighted combination of two or more. We describe combinations of indices which lead to more efficient estimates of species richness than random sampling from the same recording, where efficiency is defined as total species identified for given listening effort. Using random sampling, we achieve a 53% increase in species recognized over traditional field surveys and an increase of 87% using combinations of indices to direct the sampling. We also demonstrate how combinations of the same indices can be used to detect long duration acoustic events (such as heavy rain and cicada chorus) and to construct long duration (24 h) spectrograms.

Supporting cooperation and caring through large group experiences

Cooperation and caring are best taught within a group as it promotes connectedness, collaborative effort, and relationship building.

Cloud computing : what upstream oil and gas can learn from other industries

The topic of “the cloud” has attracted significant attention throughout the past few years (Cherry 2009; Sterling and Stark 2009) and, as a result, academics and trade journals have created several competing definitions of “cloud computing” (e.g., Motahari-Nezhad et al. 2009). Underpinning this article is the definition put forward by the US National Institute of Standards and Technology, which describes cloud computing as “a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction” (Garfinkel 2011, p. 3). Despite the lack of consensus about definitions, however, there is broad agreement on the growing demand for cloud computing. Some estimates suggest that spending on cloudrelated technologies and services in the next few years may climb as high as USD 42 billion/year (Buyya et al. 2009).

Domestic violence and family law : recognition and appropriation

The battered women’s movement in the United States contributed to a sweeping change in the recognition of men’s violence against female intimate partners. Naming the problem and arguing in favour of its identification as a serious problem meriting a collective response were key aspects of this effort. Criminal and civil laws have been written and revised in an effort to answer calls to take such violence seriously. Scholars have devoted significant attention to the consequences of this reframing of violence, especially around the unintended outcomes of the incorporation of domestic violence into criminal justice regimes. Family law, however, has remained largely unexamined by criminologists. This paper calls for criminological attention to family law responses to domestic violence and provides directions for future research.

An evaluation of different features and learning models for anomalous event detection

The huge amount of CCTV footage available makes it very burdensome to process these videos manually through human operators. This has made automated processing of video footage through computer vision technologies necessary. During the past several years, there has been a large effort to detect abnormal activities through computer vision techniques. Typically, the problem is formulated as a novelty detection task where the system is trained on normal data and is required to detect events which do not fit the learned ‘normal’ model. There is no precise and exact definition for an abnormal activity; it is dependent on the context of the scene. Hence there is a requirement for different feature sets to detect different kinds of abnormal activities. In this work we evaluate the performance of different state of the art features to detect the presence of the abnormal objects in the scene. These include optical flow vectors to detect motion related anomalies, textures of optical flow and image textures to detect the presence of abnormal objects. These extracted features in different combinations are modeled using different state of the art models such as Gaussian mixture model(GMM) and Semi- 2D Hidden Markov model(HMM) to analyse the performances. Further we apply perspective normalization to the extracted features to compensate for perspective distortion due to the distance between the camera and objects of consideration. The proposed approach is evaluated using the publicly available UCSD datasets and we demonstrate improved performance compared to other state of the art methods.