water.under

Poetry by JR Carpente

Good Teaching and Learning in the Academy

This paper is based on original research at five Queensland Universities. It compared the teaching strategies of law, education and science academics in an attempt to discover any relationship between teaching strategies and subject matter. It also examined the teaching policy at each university, specifically university definitions of good teaching and its relationship to use of technology. The purpose of this research was to determine whether or not specific understandings of good teaching in the academy prevailed, and whether or not this (dis)advantaged certain faculties. From an initial case study of QUT, the basic findings from our research were as follows: • good teaching was found to have two central features: it was student centred and technologically innovative, • irrespective of discipline, all lecturers espoused the importance of student centred learning as integral to good teaching, even though, in practice, teaching style appeared to be largely determined by subject matter, • the most innovative and technological units were the least student centred We conclude that what counts as good teaching is both contested and context bound. This has major implications for monolithic definitions of good teaching as espoused by university policy and teaching units. It also has clear ramifications for university measures of effective and innovative teaching and thus standardised procedures for both academic promotion and teaching practices across the university

Technology meets Student Centred Learning: "good practice" in university teaching

In tertiary institutions across Australia, good teaching increasingly means student centred and technological. In this paper, this is demonstrated by a case study of Queensland University of Technology, where recent policy on teaching, promoted by management and supported by teaching and learning services, suggests two things. The first that it is impossible for QUT academics to educate their students without using inclusive and dialogical methods of instruction. The second, that at QUT, effective use of technology is paramount to the success of such student centred learning. This relationship, given legitimacy through the QUT focus on flexible delivery, raises larger questions about the dominant assumptions regarding ‘good practice’ within the university setting. In this context, the dominant assumption is the superiority of progressive education and this in itself assumes further a humanistic notion of the self. This paper will suggest three things. First that such assumptions should be challenged within tertiary teaching theory and practice, as they have been within the wider domain of social and cultural theory. Second that the new valorised practices of progressive education actually depend upon old derogated practices, but that this reliance is either downplayed or disregarded. Third, that the resulting unified policy on good teaching, needs rethinking

Matching service development to mental health needs: a case study of a rural county

The development of Somerset's mental health services from 1991 to 1996 involved the closure of the county's last long-stay hospital, and its replacement by more local in-patient provision and an expansion of community services. The process and outcome of this change is examined, drawing upon (a) an externally-commissioned evaluation in 1994-6 and (b) a comprehensive mental health needs assessment in 1996. The findings from these studies indicate that the development of accommodation for people with severe and long-term mental health problems has been dominated by the needs of long-stay residents in the old institutions. This led initially to geographical inequities and a shortage of supported accommodation for others with severe and enduring mental health problems. However, developments during this period also suggest a local capacity to detect and respond to unmet needs in this group

Recognition of 3-D Objects from Multiple 2-D Views by a Self-Organizing Neural Architecture

The recognition of 3-D objects from sequences of their 2-D views is modeled by a neural architecture, called VIEWNET that uses View Information Encoded With NETworks. VIEWNET illustrates how several types of noise and varialbility in image data can be progressively removed while incornplcte image features are restored and invariant features are discovered using an appropriately designed cascade of processing stages. VIEWNET first processes 2-D views of 3-D objects using the CORT-X 2 filter, which discounts the illuminant, regularizes and completes figural boundaries, and removes noise from the images. Boundary regularization and cornpletion are achieved by the same mechanisms that suppress image noise. A log-polar transform is taken with respect to the centroid of the resulting figure and then re-centered to achieve 2-D scale and rotation invariance. The invariant images are coarse coded to further reduce noise, reduce foreshortening effects, and increase generalization. These compressed codes are input into a supervised learning system based on the fuzzy ARTMAP algorithm. Recognition categories of 2-D views are learned before evidence from sequences of 2-D view categories is accumulated to improve object recognition. Recognition is studied with noisy and clean images using slow and fast learning. VIEWNET is demonstrated on an MIT Lincoln Laboratory database of 2-D views of jet aircraft with and without additive noise. A recognition rate of 90% is achieved with one 2-D view category and of 98.5% correct with three 2-D view categories.National Science Foundation (IRI 90-24877); Office of Naval Research (N00014-91-J-1309, N00014-91-J-4100, N00014-92-J-0499); Air Force Office of Scientific Research (F9620-92-J-0499, 90-0083

Cigarette Taxes and Youth Smoking: New Evidence from National, State, & Local Youth Risk Behavior Surveys

Several studies have examined the effects of state cigarette tax increases on youth substance use over the 1990s, with most -- but not all -- finding that higher taxes reduce youth consumption of tobacco. We advance the literature by using data from the 1991-2005 waves of the national Youth Risk Behavior Surveys (YRBS), providing information on over 100,000 high school age youths. We also are the first to make use of hundreds of independently fielded state and local versions of the YRBS, reflecting data from over 750,000 youths. Importantly, these data are to our knowledge the only sources of relevant information on youth smoking that were explicitly designed to be representative of the sampled state or locality. We estimate two-way fixed effects models of the effect of state cigarette taxes on youth smoking, controlling for survey demographics and area and year fixed effects. Our most consistent finding is that -- contrary to some recent research -- the large state tobacco tax increases of the past 15 years were associated with significant reductions in smoking participation and frequent smoking by youths. Our price elasticity estimates for smoking participation by high school youths are generally smaller than previous cross-sectional approaches but are similar to recent quasi-experimental estimates.

Fitting multilevel multivariate models with missing data in responses and covariates that may include interactions and non-linear terms

The paper extends existing models for multilevel multivariate data with mixed response types to handle quite general types and patterns of missing data values in a wide range of multilevel generalized linear models. It proposes an efficient Bayesian modelling approach that allows missing values in covariates, including models where there are interactions or other functions of covariates such as polynomials. The procedure can also be used to produce multiply imputed complete data sets. A simulation study is presented as well as the analysis of a longitudinal data set. The paper also shows how existing multiprocess models for handling endogeneity can be extended by the framework proposed

Injection of clarity needed?

The legal status of children who stay in hospital for three months or longer gives rise to considerable confusion among managers in social services and social work departments. And the number of young people affected is significant. NHS statistics for the year ending 31 March 2000 suggest that in England around 2,800 children aged 0-19 on admission were discharged after spending more than two months in hospital, as were more than 500 children in Scotland. (A small number of these would have been discharged as adults.) A two-year study, commissioned by the Joseph Rowntree Foundation1 and carried out by the universities of Stirling, Durham, Newcastle and York, investigated the numbers, characteristics and circumstances of children and young people with complex needs who spend long periods in health care settings. Interviews were conducted in England and Scotland with 11 social services or health managers responsible for these children. The findings show a worrying degree of uncertainty about the position of young people who find themselves in a hospital or other health care setting for at least three months. One social services manager believed such children become looked after under the terms of the Children Act 1989. Another said children are not formally looked after but nevertheless receive the same services and safeguards as those who are. One Scottish social work manager did not know whether children going into health care settings for short-term (respite) care are looked after or not. And discussion with the research team's advisory group indicated that the confusion is not confined to our fieldwork areas

Integrated fluxes for emission lines in the ultraviolet spectra of several planetaries

The IUE satellite observatory was used to obtain absolutely-calibrated emission line fluxes for diagnostic lines of multiply-ionized C, N, O, Si, Ne, and Ar which occur in the ultraviolet spectral region of planetary nebulae. These data, when combined with data from the blue, visual, and near infrared, provide improved estimates of ionic concentrations, plasma temperatures and densities, and elemental abundances