Data analytics-based tools and methods to enhance self-regulated learning. This project aims to develop student self-regulated learning skills by harnessing the potential of Big Data analytics. The project expects to generate new knowledge at the intersection of learning analytics, educational technology, learning sciences and teaching practice resulting from novel data collection and analysis tools and methods. The outputs are expected to include insights into metacognitive, motivational, and t ....Data analytics-based tools and methods to enhance self-regulated learning. This project aims to develop student self-regulated learning skills by harnessing the potential of Big Data analytics. The project expects to generate new knowledge at the intersection of learning analytics, educational technology, learning sciences and teaching practice resulting from novel data collection and analysis tools and methods. The outputs are expected to include insights into metacognitive, motivational, and technical issues facing analytics-based personalised feedback. The outcomes are intended to offer benefits for developing pedagogical and the design of educational technology. The outcomes can result in improved student learning outcomes in higher education to ensure graduates are prepared for the digital economy.Read moreRead less
Improving student outcomes: coaching teachers in the power of feedback. This project aims to investigate how student outcomes can be augmented through coaching teachers in effective feedback practice. The project addresses a critical problem of stagnating levels of student achievement in Australian schools with the innovative research design combining evidence-based, pedagogies of feedback, formative assessment and instructional coaching to improve teacher practice and ultimately raise student a ....Improving student outcomes: coaching teachers in the power of feedback. This project aims to investigate how student outcomes can be augmented through coaching teachers in effective feedback practice. The project addresses a critical problem of stagnating levels of student achievement in Australian schools with the innovative research design combining evidence-based, pedagogies of feedback, formative assessment and instructional coaching to improve teacher practice and ultimately raise student achievement levels. The project aims to guide policy implementation in pedagogy to raise the quality of teaching standards and to improve learning outcomes for Australian students. Ultimately, outcomes from the research will help close the gap for low achieving students, and challenge and extend those who may already be meeting required benchmarks. Read moreRead less
Teaching how to learn: promoting self-regulated learning in STEM classes. This project aims to investigate key factors that influence change in teacher practices and student achievement in Science, Technology, Engineering and Mathematics (STEM). It will involve the development and evaluation of interventions designed to help teachers create learning environments that promote student engagement and the development of the cognitive and metacognitive skills needed for success in STEM. The project w ....Teaching how to learn: promoting self-regulated learning in STEM classes. This project aims to investigate key factors that influence change in teacher practices and student achievement in Science, Technology, Engineering and Mathematics (STEM). It will involve the development and evaluation of interventions designed to help teachers create learning environments that promote student engagement and the development of the cognitive and metacognitive skills needed for success in STEM. The project will advance our understanding of how to increase the quality of teaching and learning in STEM subjects. Improving teacher capacity and student performance in STEM is a national priority with significant social and economic benefits to Australia.Read moreRead less
Using large scale modelling to understand reading development and dyslexia. This project aims to construct a computational model of reading that makes quantitative predictions about reading behaviour and dyslexia. It will test theories of reading development and dyslexia based on what they predict in terms of reading performance, predictions which many theories of dyslexia do not make. The model will be in English, French and Italian, which offer rich and constraining data to test the model. The ....Using large scale modelling to understand reading development and dyslexia. This project aims to construct a computational model of reading that makes quantitative predictions about reading behaviour and dyslexia. It will test theories of reading development and dyslexia based on what they predict in terms of reading performance, predictions which many theories of dyslexia do not make. The model will be in English, French and Italian, which offer rich and constraining data to test the model. The project is expected to explain the link between reading performance and underlying influences and why dyslexia manifests differently in different languages.Read moreRead less
Multiliteracies for addressing disadvantage in senior school science. Multiliteracies for addressing disadvantage in senior school science. This project aims to develop discipline-specific pedagogies in senior physics, chemistry and biology to improve disadvantaged students’ engagement and achievement. Many students from disadvantaged backgrounds fail to develop the linguistic precision and symbolic representational dexterity needed to comprehend and communicate senior school science concepts. T ....Multiliteracies for addressing disadvantage in senior school science. Multiliteracies for addressing disadvantage in senior school science. This project aims to develop discipline-specific pedagogies in senior physics, chemistry and biology to improve disadvantaged students’ engagement and achievement. Many students from disadvantaged backgrounds fail to develop the linguistic precision and symbolic representational dexterity needed to comprehend and communicate senior school science concepts. These pedagogies will ‘infuse’ multiliteracies in senior school science to improve access to science-based pathways for these students, and enable them to understand progressively more complex scientific concepts and demonstrate this in examinations. This project is expected to improve student retention, arrest declining enrolments in senior school science, and increase young people working in science.Read moreRead less
Early years languages learning in Australia. This project aims to investigate early year’s language programs in Australian schools. The project will explore and analyse successful programs in the three states of NSW, Queensland and Victoria, policy, curricula and resources for languages teaching and learning, key stakeholder perspectives, and student progress in new primary language teaching degrees. The project expects to generate new knowledge of linked best practice program types, pedagogies, ....Early years languages learning in Australia. This project aims to investigate early year’s language programs in Australian schools. The project will explore and analyse successful programs in the three states of NSW, Queensland and Victoria, policy, curricula and resources for languages teaching and learning, key stakeholder perspectives, and student progress in new primary language teaching degrees. The project expects to generate new knowledge of linked best practice program types, pedagogies, and teacher requirements, to provide new data and ongoing research opportunities. Intended benefits include the education of more linguistically and culturally competent young Australians who are able to effectively engage in a plurilingual, globalised world.Read moreRead less
Learning from others: Inductive reasoning based on human-generated data. Most of the data we see every day, from politics to gossip, comes from other people. Making inferences about such data is difficult because the people who provided it may have biases or limitations in their knowledge that we do not know about and must figure out. This project uses a series of experiments tied to normative computational models of social reasoning to explore how people solve this problem. This work has the po ....Learning from others: Inductive reasoning based on human-generated data. Most of the data we see every day, from politics to gossip, comes from other people. Making inferences about such data is difficult because the people who provided it may have biases or limitations in their knowledge that we do not know about and must figure out. This project uses a series of experiments tied to normative computational models of social reasoning to explore how people solve this problem. This work has the potential to make a major impact in understanding how information is understood and shared, especially when it is about topics that people lack firsthand knowledge about, like climate change. The computational models also have applications to the development of expert systems upon which our information economy relies.Read moreRead less
Efficient construction: analysis of integrated supply chains for innovative off site housing manufacturing. The Australian housing industry is failing to meet demand. Housing construction is too slow, as indicated by a 40 per cent increase in average construction time over the last fifteen years. Industry fragmentation is an oft-cited cause of construction inefficiency. A solution is offsite manufacturing. Australia lags other countries in adoption of off-site manufacturing. To achieve adoption ....Efficient construction: analysis of integrated supply chains for innovative off site housing manufacturing. The Australian housing industry is failing to meet demand. Housing construction is too slow, as indicated by a 40 per cent increase in average construction time over the last fifteen years. Industry fragmentation is an oft-cited cause of construction inefficiency. A solution is offsite manufacturing. Australia lags other countries in adoption of off-site manufacturing. To achieve adoption and diffusion, fragmentation needs to be addressed. This project aims to analyse the factors affecting supply chain integration to support innovative offsite manufacturing and develop a novel collaborative practice based implementation model.Read moreRead less
The meaning of home for children following parental separation. This project aims to identify the meaning of home for children in separated families by interviewing children and parents about children’s experiences of home and homemaking. Since most children now traverse two households, there needs to be an increasing emphasis in policy, law and professional practice on listening to children regarding their post-separation living arrangements. By describing and analysing home for children, the p ....The meaning of home for children following parental separation. This project aims to identify the meaning of home for children in separated families by interviewing children and parents about children’s experiences of home and homemaking. Since most children now traverse two households, there needs to be an increasing emphasis in policy, law and professional practice on listening to children regarding their post-separation living arrangements. By describing and analysing home for children, the project will provide a solid basis for shifting the prevailing focus on parents’ needs in application of the law toward more child-responsive parenting arrangements. This new knowledge will support parents and professionals to achieve child-responsive approaches to post-separation parenting arrangements, reducing potentially adverse impacts of parental separation on children, and benefitting children, families and the community.Read moreRead less
Ultrasound for control of cyanobacteria. Blue-green algae, also known as cyanobacteria, forms in drinking water supplies in Australia and can cause water-quality problems. Current methods to treat blue-green algae involve the use of Copper Sulphate, which is not an environmentally friendly compound. A potential alternative environmentally friendly water-treatment method involves the use of ultrasound to disrupt the cyanobacteria. The aim of this project is to determine the physical properties of ....Ultrasound for control of cyanobacteria. Blue-green algae, also known as cyanobacteria, forms in drinking water supplies in Australia and can cause water-quality problems. Current methods to treat blue-green algae involve the use of Copper Sulphate, which is not an environmentally friendly compound. A potential alternative environmentally friendly water-treatment method involves the use of ultrasound to disrupt the cyanobacteria. The aim of this project is to determine the physical properties of the cyanobacteria when excited with ultrasound for the purpose of finding an efficient method to treat large volumes of water. Read moreRead less