Theatre audience contribution : facilitating a new text through the post-performance discussion

Theatre Audience Contribution introduces a new approach to theatre audience research: audience contribution through the post-performance discussion. This volume considers the physical and vocal behaviour of audience members as an integral part of the theatrical event that changes, adds to and informs the theatrical experience. Post-performance discussions, although rising in popularity, are yet an under-explored and under-utilised avenue for audience contribution. Beginning with an overview of reception theory and the historical role of theatre audiences, the author introduces a new method for the facilitation of post-performance discussions that encourages audience contribution and privileges the audience voice. Two case studies explore post-performance discussions that inform the theatrical event and discover a new role for the contemporary audience: audience critic. This accessible volume has significant implications for theatre theorists, practitioners and audiences alike.

The inadequacy of embedded markup for cultural heritage texts

Embedded generalized markup, as applied by digital humanists to the recording and studying of our textual cultural heritage, suffers from a number of serious technical drawbacks. As a result of its evolution from early printer control languages, generalized markup can only express a document’s ‘logical’ structure via a repertoire of permissible printed format structures. In addition to the well-researched overlap problem, the embedding of markup codes into texts that never had them when written leads to a number of further difficulties: the inclusion of potentially obsolescent technical and subjective information into texts that are supposed to be archivable for the long term, the manual encoding of information that could be better computed automatically, and the obscuring of the text by highly complex technical data. Many of these problems can be alleviated by asserting a separation between the versions of which many cultural heritage texts are composed, and their content. In this way the complex inter-connections between versions can be handled automatically, leaving only simple markup for individual versions to be handled by the user.

iPed : pedagogy for digital text production

Reading and writing are being transformed by global changes in communication practices using new media technologies. This paper introduces iPed, a research-based pedagogy that enables teachers to navigate innovative digital text production in the literacy classroom. The pedagogy was generated in the context of a longitudinal digital literacy intervention in a school that services low-socioeconomic and ethnically diverse students. iPed synthesizes four key pedagogies that were salient in the analysis of over 180 hours of lesson observations – Link, Challenge, Co-Create, and Share. The strengths of the pedagogy include connecting to students’ home cultures, critical media literacy, collaborative and creative digital text production, and gaining cosmopolitan recognition within global communities.

The effects of content presentation format and user characteristics on novice developers’ understanding of process models

Process models are used by information professionals to convey semantics about the business operations in a real world domain intended to be supported by an information system. The understandability of these models is vital to them being used for information systems development. In this paper, we examine two factors that we predict will influence the understanding of a business process that novice developers obtain from a corresponding process model: the content presentation form chosen to articulate the business domain, and the user characteristics of the novice developers working with the model. Our experimental study provides evidence that novice developers obtain similar levels of understanding when confronted with an unfamiliar or a familiar process model. However, previous modeling experience, the use of English as a second language, and previous work experience in BPM are important influencing factors of model understanding. Our findings suggest that education and research in process modeling should increase the focus on human factors and how they relate to content and content presentation formats for different modeling tasks. We discuss implications for practice and research.

Personalizing the design of computer-based instruction to enhance learning

This paper reports two studies designed to investigate the effect on learning outcomes of matching individuals' preferred cognitive styles to computer-based instructional (CBI) material. Study 1 considered the styles individually as Verbalizer, Imager, Wholist and Analytic. Study 2 considered the bi-dimensional nature of cognitive styles in order to assess the full ramification of cognitive styles on learning: Analytic/Imager, Analytic/ Verbalizer, Wholist/Imager and the Wholist/Verbalizer. The mix of images and text, the nature of the text material, use of advance organizers and proximity of information to facilitate meaningful connections between various pieces of information were some of the considerations in the design of the CBI material. In a quasi-experimental format, students' cognitive styles were analysed by Cognitive Style Analysis (CSA) software. On the basis of the CSA result, the system defaulted students to either matched or mismatched CBI material by alternating between the two formats. The instructional material had a learning and a test phase. Learning outcome was tested on recall, labelling, explanation and problem-solving tasks. Comparison of the matched and mismatched instruction did not indicate significant difference between the groups, but the consistently better performance by the matched group suggests potential for further investigations where the limitations cited in this paper are eliminated. The result did indicate a significant difference between the four cognitive styles with the Wholist/Verbalizer group performing better then all other cognitive styles. Analysing the difference between cognitive styles on individual test tasks indicated significant difference on recall, labelling and explanation, suggesting that certain test tasks may suit certain cognitive styles.

Rich probabilistic representations for bearing only decentralised data fusion

The aim of this paper is to demonstrate the validity of using Gaussian mixture models (GMM) for representing probabilistic distributions in a decentralised data fusion (DDF) framework. GMMs are a powerful and compact stochastic representation allowing efficient communication of feature properties in large scale decentralised sensor networks. It will be shown that GMMs provide a basis for analytical solutions to the update and prediction operations for general Bayesian filtering. Furthermore, a variant on the Covariance Intersect algorithm for Gaussian mixtures will be presented ensuring a conservative update for the fusion of correlated information between two nodes in the network. In addition, purely visual sensory data will be used to show that decentralised data fusion and tracking of non-Gaussian states observed by multiple autonomous vehicles is feasible.

"As ideias são mais importantes que os produtos", diz Paul Makeham" [Ideas are more important than products, says Paul Makeham]

This interview with Paul Makeham was conducted in 2010 by Felipe Carneiro from Brazilian business magazine Exame. Structured around Exame's "seven questions" format ("Sete Perguntas"), the interview ranges across topics relating to the creative economy, including the increasingly important role of creativity in business, and the role of education in promoting creativity.

New research literacies for contemporary research into literacy and new media?

The term literacy remains highly contested and debates continue about how literacy might best be researched and to what ends. For some, literacy is simply a matter of acquiring the technical competence which enables people to read and write. Literacy research conducted from this point of view does not usually concern itself with the new media but rather focuses on how people learn to code and decode print text. For others, however, literacy is more complex and involves learning a repertoire of practices for communicating and getting things done in particular social and cultural contexts. Literacy research conducted from this sociocultural point of view accepts that the new media are central to the field because in everyday cultural practice people are using the new media to make meaning, to express themselves and to communicate and work with others. Socio-cultural approaches to literacy research have already provided rich material which has assisted educators to understand literacy practices in everyday use (e.g. Barton & Hamilton, 1998; Barton, Hamilton and Ivanic, 2000) including children’s appropriation of the media in school-based writing (Dyson, 1997). However, the changing semiotic and cultural practices associated with new media and online participation have less frequently been the object of study...

Using text-spotting to query the world

The world we live in is well labeled for the benefit of humans but to date robots have made little use of this resource. In this paper we describe a system that allows robots to read and interpret visible text and use it to understand the content of the scene. We use a generative probabilistic model that explains spotted text in terms of arbitrary search terms. This allows the robot to understand the underlying function of the scene it is looking at, such as whether it is a bank or a restaurant. We describe the text spotting engine at the heart of our system that is able to detect and parse wild text in images, and the generative model, and present results from images obtained with a robot in a busy city setting.

Effective pattern discovery for text mining

Many data mining techniques have been proposed for mining useful patterns in text documents. However, how to effectively use and update discovered patterns is still an open research issue, especially in the domain of text mining. Since most existing text mining methods adopted term-based approaches, they all suffer from the problems of polysemy and synonymy. Over the years, people have often held the hypothesis that pattern (or phrase) based approaches should perform better than the term-based ones, but many experiments did not support this hypothesis. This paper presents an innovative technique, effective pattern discovery which includes the processes of pattern deploying and pattern evolving, to improve the effectiveness of using and updating discovered patterns for finding relevant and interesting information. Substantial experiments on RCV1 data collection and TREC topics demonstrate that the proposed solution achieves encouraging performance.

The power of educational podcasting : using short-format podcasts to reinforce tertiary student learning experiences in science

In 2007 I introduced short-format educational podcast resources that reinforced conceptual teaching and learning in an interdisciplinary tertiary science study area (biochemistry). This study aims to determine student attitudes to the perceived usefulness and benefit of short-format educational podcasts, and presents the findings (qualitative and quantitative) from surveys obtained from three offerings of the science teaching unit (2007, 2008 and 2009). Podcasts were recorded (MP3 audio files) separately from the instructive lecture sessions, and subsequent to the weekly lecture, short-format podcasts summarising the key learning objectives were integrated within the resources presented through the students learning management system (Blackboard). The vast majority (>88%) of students utilised the podcast resources, indicating a high level of acceptance and uptake for this portable educational technology. The respondents reported that podcasts focused their attention to core learning concepts and supported their understanding and learning of the lecture material. Furthermore, the data showed that respondents agreed strongly that podcasts assisted with study and revision for examinations and, somewhat surprisingly, there was a perception that podcasts positively impacted on examination performance. Overall, student users perceived that podcasting is as an effective and valuable educational tool that offers convenience and flexibility for their learning and understanding of a tertiary science study area, such as biochemistry.

Diversity in action : minority group media and social change (text-only version)

This magazine, written by Melissa Giles, features three Brisbane-based media organisations: Radio 4RPH, Queensland Pride and 98.9FM. The PDF file on this website contains a text-only version of the magazine. Contact the author if you would like a copy of the text-only EPUB file or a copy of the full digital magazine with images. An audio version of the magazine is available at http://eprints.qut.edu.au/41729/