Integrating science through Bayesian Belief Networks : case study of Lyngbya in Moreton Bay

Bayesian Belief Networks (BBNs) are emerging as valuable tools for investigating complex ecological problems. In a BBN, the important variables in a problem are identified and causal relationships are represented graphically. Underpinning this is the probabilistic framework in which variables can take on a finite range of mutually exclusive states. Associated with each variable is a conditional probability table (CPT), showing the probability of a variable attaining each of its possible states conditioned on all possible combinations of it parents. Whilst the variables (nodes) are connected, the CPT attached to each node can be quantified independently. This allows each variable to be populated with the best data available, including expert opinion, simulation results or observed data. It also allows the information to be easily updated as better data become available ----- ----- This paper reports on the process of developing a BBN to better understand the initial rapid growth phase (initiation) of a marine cyanobacterium, Lyngbya majuscula, in Moreton Bay, Queensland. Anecdotal evidence suggests that Lyngbya blooms in this region have increased in severity and extent over the past decade. Lyngbya has been associated with acute dermatitis and a range of other health problems in humans. Blooms have been linked to ecosystem degradation and have also damaged commercial and recreational fisheries. However, the causes of blooms are as yet poorly understood.

The science of assessment : identifying and predicting environmental impacts

The historical challenge of environmental impact assessment (EIA) has been to predict project-based impacts accurately. Both EIA legislation and the practice of EIA have evolved over the last three decades in Canada, and the development of the discipline and science of environmental assessment has improved how we apply environmental assessment to complex projects. The practice of environmental assessment integrates the social and natural sciences and relies on an eclectic knowledge base from a wide range of sources. EIA methods and tools provide a means to structure and integrate knowledge in order to evaluate and predict environmental impacts.----- This Chapter will provide a brief overview of how impacts are identified and predicted. How do we determine what aspect of the natural and social environment will be affected when a mine is excavated? How does the practitioner determine the range of potential impacts, assess whether they are significant, and predict the consequences? There are no standard answers to these questions, but there are established methods to provide a foundation for scoping and predicting the potential impacts of a project.----- Of course, the community and publics play an important role in this process, and this will be discussed in subsequent chapters. In the first part of this chapter, we will deal with impact identification, which involves appplying scoping to critical issues and determining impact significance, baseline ecosystem evaluation techniques, and how to communicate environmental impacts. In the second part of the chapter, we discuss the prediction of impacts in relation to the complexity of the environment, ecological risk assessment, and modelling.

Professional development for the integration of biotechnology education

Views on the nature and relevance of science education have changed significantly over recent decades. This has serious implications for the way in which science is taught in secondary schools, particularly with respect to teaching emerging topics such as biotechnology, which have a socio-scientific dimension and also require novel laboratory skills. It is apparent in current literature that there is a lack of adequate teacher professional development opportunities in biotechnology education and that a significant need exists for researchers to develop a carefully crafted and well supported professional development design which will positively impact on the way in which teachers engage with contemporary science. This study used a retrospective case study methodology to document the recent evolution of modern biotechnology education as part of the changing nature of science education; examine the adoption and implementation processes for biotechnology education by three secondary schools; and to propose an evidence based biotechnology professional development model for science educators. Data were gathered from documents, one-on-one interviews and focus group discussions. Analysis of these data has led to the proposal of a biotechnology professional development model which considers all of the key components of science professional development that are outlined in the literature, as well as the additional components which were articulated by the educators studied. This research is timely and pertinent to the needs of contemporary science education because of its recognition of the need for a professional development model in biotechnology education that recognizes and addresses the content knowledge, practical skills, pedagogical knowledge and curriculum management components.

Digital scholarship and pedagogy, the next step : cultural science.

There are two aspects to the problem of digital scholarship and pedagogy. One is to do with scholarship; the other with pedagogy. In scholarship, the association of knowledge with its printed form remains dominant. In pedagogy, the desire to abandon print for ‘new’ media is urgent, at least in some parts of the academy. Film and media studies are thus at the intersection of opposing forces – pulling the field ‘back’ to print and ‘forward’ to digital media. These tensions may be especially painful in a field whose own object of study is another form of communication, neither print nor digital but broadcast. Although print has been overtaken in the popular marketplace by audio-visual forms, this was never achieved in the domain of scholarship. Even when it is digitally distributed, the output of research is still a ‘paper.’ But meanwhile, in the realm of teaching, production- and practice-based pedagogy has become firmly established. Nevertheless a disjunction remains, between high-end scholarship in research universities and vocational training in teaching institutions; but neither is well equipped to deal with the digital challenge.

Australian Indigenous students: addressing equity issues in assessment

This article provides the background and context to the important issue of assessment and equity in relation to Indigenous students in Australia. Questions about the validity and fairness of assessment are raised and ways forward are suggested by attending to assessment questions in relation to equity and culture-fair assessment. Patterns of under-achievement by Indigenous students are reflected in national benchmark data and international testing programmes like the Trends in International Mathematics and Science Sstudy and the Program for International Student Assessment. The argument developed views equity, in relation to assessment, as more of a sociocultural issue than a technical matter. It highlights how teachers need to distinguish the "funds of knowledge" that Indigenous students draw on and how teachers need to adopt culturally responsive pedagogy to open up the curriculum and assessment practice to allow for different ways of knowing and being.

Uncritical framing : lesson and knowledge structure in school science

There is clearly contention over the shape and formation of science curriculum and over, ultimately, what will count as scientific knowledge, skill, capacity and world view. The Cold War set the policy context for an ongoing focus on science education across Western nations. Sputnik-era US and UK educational policy offered a broad premise for the purpose of school science: in a risky geopolitical environment, high levels of advanced scientific expertise were central to the national interest and necessary for the maintenance of military/industrial and technological power. Half a century on, in the context of global economic and environmental crisis, as a justification for digital, industrial and biomedical innovation, the rationale for the production of scientific capital is central to curriculum settlements and educational policy in Europe, Asia and the Americas.