One approach to finding evidence for the effectiveness of scientific visualisations in high school physics and chemistry education

Enormous amounts of money and energy are being devoted to the development, use and organisation of computer-based scientific visualisations (e.g. animations and simulations) in science education. It seems plausible that visualisations that enable students to gain visual access to scientific phenomena that are too large, too small or occur too quickly or too slowly to be seen by the naked eye, or to scientific concepts and models, would yield enhanced conceptual learning. When the literature is searched, however, it quickly becomes apparent that there is a dearth of quantitative evidence for the effectiveness of scientific visualisations in enhancing students’ learning of science concepts. This paper outlines an Australian project that is using innovative research methodology to gather evidence on this question in physics and chemistry classrooms.

Finding and matching communities in social networks using data mining

The rapid growth in the number of users using social networks and the information that a social network requires about their users make the traditional matching systems insufficiently adept at matching users within social networks. This paper introduces the use of clustering to form communities of users and, then, uses these communities to generate matches. Forming communities within a social network helps to reduce the number of users that the matching system needs to consider, and helps to overcome other problems from which social networks suffer, such as the absence of user activities' information about a new user. The proposed system has been evaluated on a dataset obtained from an online dating website. Empirical analysis shows that accuracy of the matching process is increased using the community information.

Finding your research voice : the application of bibliometrics as an analytic literature tool on the pedagogic field of higher education

This paper documents the use of bibliometrics as a methodology to bring forth a structured, systematic and rigorous way to analyse and evaluate a range of literature. When starting out and reading broadly for my doctoral studies, one article by Trigwell and Prosser (1996b) led me to reflect about my level of comprehension as the content, concepts and methodology did not resonate with my epistemology. A disconnection between our paradigms emerged. Further reading unveiled the work by Doyle (1987) who categorised research in teaching and teacher education by three main areas: teacher characteristics, methods research and teacher behaviour. My growing concerns that there were gaps in the knowledge also exposed the difficulties in documenting said gaps. As an early researcher who required support to locate myself in the field and to find my research voice, I identified bibliometrics (Budd, 1988; Yeoh & Kaur, 2007) as an appropriate methodology to add value and rigour in three ways. Firstly, the application of bibliometrics to analyse articles is systematic, builds a picture from the characteristics of the literature, and offers a way to elicit themes within the categories. Secondly, by systematic analysis there is occasion to identify gaps within the body of work, limitations in methodology or areas in need of further research. Finally, extension and adaptation of the bibliometrics methodology, beyond citation or content analysis, to investigate the merit of methodology, participants and instruments as a determinant for research worth allowed the researcher to build confidence and contribute new knowledge to the field. Therefore, this paper frames research in the pedagogic field of Higher Education through teacher characteristics, methods research and teacher behaviour, visually represents the literature analysis and locates my research self within methods research. Through my research voice I will present the bibliometrics methodology, the outcomes and document the landscape of pedagogy in the field of Higher Education.

Standing up and finding my voice through positive digital storytelling

‘Positive Stories’ is a digital storytelling initiative that took place in Adelaide in 2010–2011.1 This article describes participants’ experiences of creative self-representation and the thorny complications of mediating voice, particularly in situations where privacy and publicity are significant issues.

Finding additional semantic entity information for search engines

Entity-oriented search has become an essential component of modern search engines. It focuses on retrieving a list of entities or information about the specific entities instead of documents. In this paper, we study the problem of finding entity related information, referred to as attribute-value pairs, that play a significant role in searching target entities. We propose a novel decomposition framework combining reduced relations and the discriminative model, Conditional Random Field (CRF), for automatically finding entity-related attribute-value pairs from free text documents. This decomposition framework allows us to locate potential text fragments and identify the hidden semantics, in the form of attribute-value pairs for user queries. Empirical analysis shows that the decomposition framework outperforms pattern-based approaches due to its capability of effective integration of syntactic and semantic features.

Finding out about children's meaning making through drawing together

When I was seven I worked on a science project about caterpillars and moths. I was completely immersed in this project, fascinated by caterpillar body markings, the rhythmical, semi-circular pattern caterpillars adopt to eat leaves, their spiral construction of the chrysalis, and their transformation into moths or butterflies. I demonstrated my fascination, my research and study through carefully executed and detailed drawings. I could read and write well, but I wasn’t as interested in writing and produced a half-page summary to support my visual work.

Finding our way to the future : directions for a city of opportunity

This Australian case study of futures methodologies in local government explores the development and implementation of the Logan 2026 City Directions project. As an innovative approach to strategic planning, and forming the city visioning umbrella for the Strategic Planning and Performance Management Framework of Council, Logan 2026 City Directions has facilitated greater engagement with the community and represents an opportunity for Council to explore and build on the organisation's foresight capacity and to enhance internal communications within the organisation. One significant by-product has been ongoing dialogue and actions of the workshop groups in Council seeking to address such issues as climate change.

Understanding chronic pain complicating disability: Finding meaning through focus group methodology

Over the past few decades a major paradigm shift has occurred in the conceptualisation of chronic pain as a complex multidimensional phenomenon. Yet, pain experienced by individuals with a primary disability continues to be understood largely from a traditional biomedical model, despite its inherent limitations. This is reflected in the body of literature on the topic that is primarily driven by positivist assumptions and the search for etiologic pain mechanisms. Conversely, little is known about the experiences of and meanings attributed to, disability-related pain. Thus the purpose of this paper is to discuss the use of focus group methodology in elucidating the meanings and experiences of this population. Here, a distinction is made between the method of the focus group and focus group research as methodology. Typically, the focus group is presented as a seemingly atheoretical method of research. Drawing on research undertaken on the impact of chronic pain in people with multiple sclerosis, this paper seeks to theorise the focus group in arguing the methodological congruence of focus group research and the study of pain experience. It is argued that the contributions of group interaction and shared experiences in focus group discussions produce data and insights less accessible through more structured research methods. It is concluded that a biopsychosocial perspective of chronic pain may only ever be appreciated when the person-in-context is the unit of investigation.

A novel method for finding similarities between unordered trees using matrix data model

Trees are capable of portraying the semi-structured data which is common in web domain. Finding similarities between trees is mandatory for several applications that deal with semi-structured data. Existing similarity methods examine a pair of trees by comparing through nodes and paths of two trees, and find the similarity between them. However, these methods provide unfavorable results for unordered tree data and result in yielding NP-hard or MAX-SNP hard complexity. In this paper, we present a novel method that encodes a tree with an optimal traversing approach first, and then, utilizes it to model the tree with its equivalent matrix representation for finding similarity between unordered trees efficiently. Empirical analysis shows that the proposed method is able to achieve high accuracy even on the large data sets.

Finding Carpentaria

Invited – and inspired – by Rikki Gunn of GhostNets Australia, in September 2008 sixteen Queensland University of Technology (QUT) design and engineering students and four staff set off on a 2488km journey to spend a fortnight in Karumba on the Gulf of Carpentaria. We went to undertake a strategic planning project we called Linking Karumba, to encourage social, economic, environmental and cultural linkages across the town. During this visit, we and our local project partners realised there should be a second half to the project, in the other Carpentaria Shire town of Normanton, which saw another group of us travelling north again in 2010 to undertake Get EnGulfed: Normanton2020, looking back and forwards to propose strategies to strengthen local and regional identities. The responsiveness of our students’ work to the character of Carpentarian culture and environment indicate remarkable levels of immersion, and the community expressed their enjoyment of the process and outcomes. As for us - QUT staff and students - we had a marvellous time doing these projects, and this little book is the story of our finding of the landscapes and communities of Carpentaria “where the outback meets the sea”, and of the project work we did together with locals in the two towns. We go to press as news arrives of the official opening of the Karumba Walking track, linking the two parts of the town. We can’t wait to return and make the walk. Shannon Satherley, 2013

'I wouldn't say that' : finding a young adult, female voice in a Queensland mining town

This is a practice-led project consisting of a Young Adult novel, Open Cut, and an exegesis, 'I Wouldn't Say That': Finding a Young Adult, Female Voice in a Queensland Mining Town. The thesis investigates the use of first person narration in order to create an immediate engaging, realist Young Adult Fiction. The research design is bound by a feminist interpretative paradigm. The methodology employed is practice-led, auto-ethnography, and participant observation. Particular characteristics of first person narration used in Australian Young Adult Fiction are identified in an analysis of Dust, by Christine Bongers, and Jasper Jones, by Craig Silvey. The exegesis also contains a reflection on the researcher's creative work, and the process used to draft, edit, plot and construct the novel. The research contributes to knowledge in the field of Young Adult Literature because it offers a graphic portrayal of an Australian mining town that has not been heard before.

Finding space and time in the West

WHENEVER I talk to my students about the requisites for writing, I always tell them that they need at least two things: space and time. Time, which we frequently describe through verbs of motion such as ‘flow’ or ‘flux’, and space, which we usually view as emptiness or the absence of matter. I.e., two dimensions, which are co-dependent, are not only features of the physical world but mental constructs that are elementary to the faculty of cognition...

Novel sequential methods in dose-finding designs : extensions of the continual reassessment method

Dose-finding trials are a form of clinical data collection process in which the primary objective is to estimate an optimum dose of an investigational new drug when given to a patient. This thesis develops and explores three novel dose-finding design methodologies. All design methodologies presented in this thesis are pragmatic. They use statistical models, incorporate clinicians' prior knowledge efficiently, and prematurely stop a trial for safety or futility reasons. Designing actual dose-finding trials using these methodologies will minimize practical difficulties, improve efficiency of dose estimation, be flexible to stop early and reduce possible patient discomfort or harm.