793 resultados para Communication in science.
Resumo:
By presenting an overview of institutional theory, specifically the concepts of organizational fields, institutional pressures, and legitimacy, in addition to classical rhetoric, we have sought to highlight that there are links within the literature between the concepts of institutional theory and legitimacy, and also legitimacy and classical rhetoric. To date however, the three concepts – institutional pressures, legitimacy, and rhetoric – have not been explicitly linked. Through building on the current literature, and using the notion of legitimacy as the axis to connect institutional pressures with rhetoric, we argue that certain rhetorical devices may in fact be used to build and construct legitimacy in relation to the different institutional pressures an organization may face within a field. We believe that this preliminary framework may be useful to the field of CSR communication, whereby it may assist in constructing legitimate CSR communication in response to the various pressures an organization may face in relation to CSR.
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The establishment and continuity of two international comparative assessments of science learning—the IEA’s TIMSS project and the OECD’s PISA project—have meant that there are now high-status reference points for other national and more local approaches to assessing the efficacy of science teaching and learning. Both projects, albeit with very different senses of what the outcome of science learning should be, have contributed positively and negatively to the current state of assessment of school science. The TIMSS project looks back at the science that is commonly included in the curricula of the participating countries. It is thus not about established school science nor about innovations in it. PISA is highly innovative looking, prospectively forward to see how students can use their science learning in everyday life situations. In this chapter some of these positives and negatives are discussed.
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The intentions of the science curriculum are very often constrained by the forms of student learning that are required by, or are currently available within, the system of education. Furthermore, little attention is given to developing new approaches to assessment that would encourage these good intentions. In this chapter, we argue that achieving this broadening of the intentions of science education will require a diversity of assessment techniques and that only a profile of each student’s achievement will capture the range of intended learnings. We explore a variety of assessment modes that match some of these new aspects of science learning and that also provide students with both formative information and a more comprehensive and authentic summative profile of their performances. Our discussion is illustrated with research-based examples of assessment practice in relation to three aspects of science education that are increasingly referred to in curriculum statements as desirable human dimensions of science: context-based science education, decision-making processes and socioscientific issues and integrated science education. We conclude with some notes on what these broader kinds of assessment mean for teachers and the support they would need to include them in their day-to-day practices in the science classrooms if, and when, the mainstream of science teaching and learning takes these curricular intentions seriously.
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While a substantial part of the discourse around social media continues to focus on concerns over cyberbullying or other undesirable practices, the important role which such media play in information dissemination, especially in the context of natural disasters and other acute events, is also being realised. A series of natural and human-made crisis events since 2011, including several major natural disasters in Australia, have highlighted this role.
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In this age of rapidly evolving technology, teachers are encouraged to adopt ICTs by government, syllabus, school management, and parents. Indeed, it is an expectation that teachers will incorporate technologies into their classroom teaching practices to enhance the learning experiences and outcomes of their students. In particular, regarding the science classroom, a subject that traditionally incorporates hands-on experiments and practicals, the integration of modern technologies should be a major feature. Although myriad studies report on technologies that enhance students’ learning outcomes in science, there is a dearth of literature on how teachers go about selecting technologies for use in the science classroom. Teachers can feel ill prepared to assess the range of available choices and might feel pressured and somewhat overwhelmed by the avalanche of new developments thrust before them in marketing literature and teaching journals. The consequences of making bad decisions are costly in terms of money, time and teacher confidence. Additionally, no research to date has identified what technologies science teachers use on a regular basis, and whether some purchased technologies have proven to be too problematic, preventing their sustained use and possible wider adoption. The primary aim of this study was to provide research-based guidance to teachers to aid their decision-making in choosing technologies for the science classroom. The study unfolded in several phases. The first phase of the project involved survey and interview data from teachers in relation to the technologies they currently use in their science classrooms and the frequency of their use. These data were coded and analysed using Grounded Theory of Corbin and Strauss, and resulted in the development of a PETTaL model that captured the salient factors of the data. This model incorporated usability theory from the Human Computer Interaction literature, and education theory and models such as Mishra and Koehler’s (2006) TPACK model, where the grounded data indicated these issues. The PETTaL model identifies Power (school management, syllabus etc.), Environment (classroom / learning setting), Teacher (personal characteristics, experience, epistemology), Technology (usability, versatility etc.,) and Learners (academic ability, diversity, behaviour etc.,) as fields that can impact the use of technology in science classrooms. The PETTaL model was used to create a Predictive Evaluation Tool (PET): a tool designed to assist teachers in choosing technologies, particularly for science teaching and learning. The evolution of the PET was cyclical (employing agile development methodology), involving repeated testing with in-service and pre-service teachers at each iteration, and incorporating their comments i ii in subsequent versions. Once no new suggestions were forthcoming, the PET was tested with eight in-service teachers, and the results showed that the PET outcomes obtained by (experienced) teachers concurred with their instinctive evaluations. They felt the PET would be a valuable tool when considering new technology, and it would be particularly useful as a means of communicating perceived value between colleagues and between budget holders and requestors during the acquisition process. It is hoped that the PET could make the tacit knowledge acquired by experienced teachers about technology use in classrooms explicit to novice teachers. Additionally, the PET could be used as a research tool to discover a teachers’ professional development needs. Therefore, the outcomes of this study can aid a teacher in the process of selecting educationally productive and sustainable new technology for their science classrooms. This study has produced an instrument for assisting teachers in the decision-making process associated with the use of new technologies for the science classroom. The instrument is generic in that it can be applied to all subject areas. Further, this study has produced a powerful model that extends the TPACK model, which is currently extensively employed to assess teachers’ use of technology in the classroom. The PETTaL model grounded in data from this study, responds to the calls in the literature for TPACK’s further development. As a theoretical model, PETTaL has the potential to serve as a framework for the development of a teacher’s reflective practice (either self evaluation or critical evaluation of observed teaching practices). Additionally, PETTaL has the potential for aiding the formulation of a teacher’s personal professional development plan. It will be the basis for further studies in this field.
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This paper draws on comparative analyses of Twitter data sets – over time and across different kinds of natural disasters and different national contexts – to demonstrate the value of shared, cumulative approaches to social media analytics in the context of crisis communication.
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Due to knowledge gaps in relation to urban stormwater quality processes, an in-depth understanding of model uncertainty can enhance decision making. Uncertainty in stormwater quality models can originate from a range of sources such as the complexity of urban rainfall-runoff-stormwater pollutant processes and the paucity of observed data. Unfortunately, studies relating to epistemic uncertainty, which arises from the simplification of reality are limited and often deemed mostly unquantifiable. This paper presents a statistical modelling framework for ascertaining epistemic uncertainty associated with pollutant wash-off under a regression modelling paradigm using Ordinary Least Squares Regression (OLSR) and Weighted Least Squares Regression (WLSR) methods with a Bayesian/Gibbs sampling statistical approach. The study results confirmed that WLSR assuming probability distributed data provides more realistic uncertainty estimates of the observed and predicted wash-off values compared to OLSR modelling. It was also noted that the Bayesian/Gibbs sampling approach is superior compared to the most commonly adopted classical statistical and deterministic approaches commonly used in water quality modelling. The study outcomes confirmed that the predication error associated with wash-off replication is relatively higher due to limited data availability. The uncertainty analysis also highlighted the variability of the wash-off modelling coefficient k as a function of complex physical processes, which is primarily influenced by surface characteristics and rainfall intensity.
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This paper reports findings from the Choosing Science study (Lyons & Quinn, 2010) indicating that Australian Year 10 students in small rural or remote areas tend to regard their science lessons as less relevant than do students in larger towns and cities. Specifically, those in small rural or remote schools were significantly more inclined than their city peers to disagree that what they learned in science classes 'helped them make sense of the world'. They were also significantly more likely to strongly agree that they found science lessons boring, and to strongly disagree that science was one of the most interesting subjects. Potential explanations discussed include a mismatch between science curriculum content and the everyday experiences of students in these regions, the relative shortage of experienced specialist science teachers in rural or remote areas and a lack of opportunities to demonstrate the relevance of school science, among others. The paper considers the implications of these findings in relation to the Australian Science Curriculum and whether it is likely to better address the needs of rural and remote students.
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Disproportionate representation of males and females in science courses and careers continues to be of concern. This article explores gender differences in Australian high school students’ perceptions of school science and their intentions to study university science courses. Nearly 3800 15-year-old students responded to a range of 5-point Likert items relating to intentions to study science at university, perceptions of career-related instrumental issues such as remuneration and job security, self-rated science ability and enjoyment of school science. Australian boys and girls reported enjoying science to a similar extent, however boys reported enjoying it more in relation to other subjects than did girls, and rated their ability in science compared to others in their class more highly than did girls. There was no significant difference between the mean responses of girls and boys to the item “It is likely I will choose a science-related university course when I leave school” and the strongest predictors of responses to this item were items relating to students’ liking for school science and awareness from school science of new and exciting jobs, followed by their perceived self-ability. These results are discussed in relation to socio-scientific values that interact with identity and career choices, employment prospects in science, and implications for science education.
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Research on the achievement and retention of female students in science and mathematics is located within a context of falling levels of participation in physical science and mathematics courses in Australian schools, and underrepresentation of females in some science, technology, engineering and mathematics (STEM) courses. The Interests and Recruitment in Science (IRIS) project is an international project that aims to contribute to understanding and improving recruitment, retention and gender equity in STEM higher education. Nearly 3500 first year students in 30 Australian universities responded to the IRIS survey of 5-point Likert items and open responses. This paper explores gender differences in first year university students’ responses to three questions about important influences on their course choice. The IRIS study found good teachers were rated highly by both males and females as influential in choosing STEM courses, and significantly higher numbers of females rated personal encouragement from senior high school science teacher as very important. In suggestions for addressing sex disparities in male-dominated STEM courses, more females indicated the importance of good teaching/encouragement and more females said (unspecified) encouragement. This study relates to the influence of school science teachers and results are discussed in relation to implications for science education.
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This paper reports results from a study comparing teachers’ and students’ perceptions about the relative degree of influence parents, teachers, friends, older students and careers advisors have on students’ decisions about enrolling in non-compulsory high school science subjects. The comparison was carried out as part of the Choosing Science project - a large-scale Australian study of 15 year-old students’ experiences of school science and intentions regarding further participation. The study found that students considered their science teachers to have had the greatest influence, followed by parents and then friends. In contrast, however, science teachers believed their students to be most influenced in their decisions by friends and peers, followed by older students and siblings and parents, with teachers themselves having relatively little influence. Both groups believed that advice from careers advisors was of little influence. The findings are unique in the science education literature in providing an insight into differences and similarities in the perceptions of students and their teachers. In particular they indicate that teachers play a far greater role in students’ decisions about enrolling in science than they believe. This has important implications for science teachers and teacher educators in terms of appreciating their influence and applying it in ways that encourage participation in science courses.
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This study drew on the notions of institutional theory, legitimacy, and rhetoric, and explored propositions drawn from these concepts to consider the why and how of corporate social responsibility (CSR) communication. In doing so, this thesis found that there was often a disconnect between why the organisations were communicating about CSR activities in their reports and how the organisations were communicating about these activities.
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How do you identify "good" teaching practice in the complexity of a real classroom? How do you know that beginning teachers can recognise effective digital pedagogy when they see it? How can teacher educators see through their students’ eyes? The study in this paper has arisen from our interest in what pre-service teachers “see” when observing effective classroom practice and how this might reveal their own technological, pedagogical and content knowledge. We asked 104 pre-service teachers from Early Years, Primary and Secondary cohorts to watch and comment upon selected exemplary videos of teachers using ICT (information and communication technologies) in Science. The pre-service teachers recorded their observations using a simple PMI (plus, minus, interesting) matrix which were then coded using the SOLO Taxonomy to look for evidence of their familiarity with and judgements of digital pedagogies. From this, we determined that the majority of preservice teachers we surveyed were using a descriptive rather than a reflective strategy, that is, not extending beyond what was demonstrated in the teaching exemplar or differentiating between action and purpose. We also determined that this method warrants wider trialling as a means of evaluating students’ understandings of the complexity of the digital classroom.
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In 2006, the American Law Institute (ALI) and the International Insolvency Institute (III) established a Transnational Insolvency Project and appointed Professor Ian Fletcher (United Kingdom) and Professor Bob Wessels (Netherlands) as Joint Reporters. The objective was to investigate whether the essential provisions of the ALI Principles of Cooperation among the NAFTA Countries (ALI-NAFTA Principles) and the annexed Guidelines Applicable to Court-to-Court Communication in Cross-border Cases (ALI-NAFTA Guidelines) may, with certain necessary modifications, be acceptable for use by jurisdictions across the world. In 2012, Professor Fletcher and Professor Wessels presented the report Transnational Insolvency: Global Principles for Cooperation in International Insolvency Cases (“ALI-III Report”) to the Annual Meetings of the American Law Institute and the International Insolvency Institute. In 2013, the Australian Academy of Law (AAL) provided support to the authors to undertake research on the possible benefits for Australia of courts and insolvency administrators of referring to the ALI-III Report when addressing international insolvency cases. This AAL project was at the request of the Council of Chief Justices of Australia and New Zealand. This research Report compares the Global Principles for Cooperation in International Insolvency Cases with the Cross-border Insolvency Act 2008 and the UNCITRAL Model Law as it has been adopted and has force of law in Australia. Further, it examines the Global Guidelines for Court-to-Court Communications in International Insolvency Cases in light of Australian cross-border insolvency and procedural law. Finally, it makes brief reference to and commentary on the Global Rules on Conflict–of-Laws Matters in International Insolvency Cases annexed to the ALI-III Report from the perspective of Australian choice of law rules.
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As the biggest expo site in history, construction of the Shanghai Expo site faced a lot of challenges, including involvement of lots of investors, megaconstruction scale, concurrent construction mode, involvement of more than 40,000 migrant workers, and extremely tight completion deadlines, among others. Consequently, these challenges imposed great obstacles on accomplishing the safety, quality, and environmental goals. Through a case study of the Shanghai Expo construction, this paper paper presents the design and implementation of multicriteria incentives in megaprojects to accomplish the safety, quality, and environmental goals. Both quantitative and qualitative findings were triangulated to demonstrate the outcome of the incentives. Six critical success factors (CSFs) for the incentives, rule design, process orientation, top management support, training and promotion, communication in process, and process learning and improvement are identified and validated through case study data and content analysis. It is believed that the findings of this paper can enhance understanding of multicriteria incentive schemes in general and provide insights in implementing these incentive schemes in future megaprojects, particularly in the People’s Republic of China (PRC).