Predicting health, well-being, and educational success in emerging adults: An 8 year longitudinal study. This project will inform the community about factors that affect the psychological, physical, academic, and employment outcomes of emerging adults. It will improve our knowledge of why some young people do not reach their full potential. The project will provide a comprehensive assessment of factors associated with well-being across several domains. It will better equip and assist professiona ....Predicting health, well-being, and educational success in emerging adults: An 8 year longitudinal study. This project will inform the community about factors that affect the psychological, physical, academic, and employment outcomes of emerging adults. It will improve our knowledge of why some young people do not reach their full potential. The project will provide a comprehensive assessment of factors associated with well-being across several domains. It will better equip and assist professionals to identify early those youth at risk of having poor psychological, health, and employment prospects post-school. The project will inform the development of intervention programs for young people and maximise their overall adjustment and well-being several years later.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
Where do inductive biases come from? A Bayesian investigation. This project aims to investigate the origin of our thinking and learning biases using state-of-the-art mathematical models and sophisticated experimental designs. Expected outcomes include bridging the gap between human and machine learning by pairing mathematical modelling with experimental work, forming a necessary step toward the development of machine systems that can reason like people do. This will provide significant benefits ....Where do inductive biases come from? A Bayesian investigation. This project aims to investigate the origin of our thinking and learning biases using state-of-the-art mathematical models and sophisticated experimental designs. Expected outcomes include bridging the gap between human and machine learning by pairing mathematical modelling with experimental work, forming a necessary step toward the development of machine systems that can reason like people do. This will provide significant benefits such as understanding how people operate so effectively in real environments, when even the most powerful computers struggle to handle the complexities of everyday learning problems.Read moreRead less
ARC/NHMRC Research Network in Ageing Well. The ARC Research Network on Ageing Well will support interdisciplinary, high quality research in the National Research Priority Goal of Ageing Well, Ageing Productively. It will build scale and focus on Australia's notable research strengths in ageing, promote collaborative research, and extend research capacities. The Network will link outstanding researchers from many disciplines, nurture developing researchers, relate social to health researchers, s ....ARC/NHMRC Research Network in Ageing Well. The ARC Research Network on Ageing Well will support interdisciplinary, high quality research in the National Research Priority Goal of Ageing Well, Ageing Productively. It will build scale and focus on Australia's notable research strengths in ageing, promote collaborative research, and extend research capacities. The Network will link outstanding researchers from many disciplines, nurture developing researchers, relate social to health researchers, strengthen international collaboration, and involve and inform end-point users. It will foster research which responds to the aspirations and needs of older Australians and informs action that can improve experiences of individual and population ageing.Read moreRead less
Improving the diagnosticity of eyewitness memory choices. Eyewitness identification error is common and costly. This project aims to improve the quality of information provided by eyewitnesses, and the ability of police officers and triers of fact (e.g., juries, judges) to evaluate this information. Laboratory investigations will determine how best to test memory and confidence to achieve this aim. A new class of cognitive models will provide a unified account of response accuracy, response time ....Improving the diagnosticity of eyewitness memory choices. Eyewitness identification error is common and costly. This project aims to improve the quality of information provided by eyewitnesses, and the ability of police officers and triers of fact (e.g., juries, judges) to evaluate this information. Laboratory investigations will determine how best to test memory and confidence to achieve this aim. A new class of cognitive models will provide a unified account of response accuracy, response time, and confidence, suitable for application to computerized testing scenarios. The models and testing methods validated in the laboratory will be refined for application in eyewitness memory settings, facilitating better evaluation of identification evidence, and potentially reducing wrongful convictions.Read moreRead less
Early career teacher induction: Supporting precarious teachers. This project aims to investigate the ways in which Australian induction policies support precariously employed early career teachers to effectively manage student classroom behaviour. This project expects to generate new knowledge of workforce development and induction experiences of early career teachers employed on casual and short-term contracts. Expected outcomes of this project include alternative policy and practice recommenda ....Early career teacher induction: Supporting precarious teachers. This project aims to investigate the ways in which Australian induction policies support precariously employed early career teachers to effectively manage student classroom behaviour. This project expects to generate new knowledge of workforce development and induction experiences of early career teachers employed on casual and short-term contracts. Expected outcomes of this project include alternative policy and practice recommendations to support the transition of insecure replacement teachers within the profession. The benefits of this research include, improving teachers’ classroom management practices; the retention of new teachers; improving teacher workforce development; and building a healthier education system. 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
ARC Complex Open Systems Research Network. Complexity is the common frontier in the physical, biological and social sciences. This Network will link specialists in all three sciences through five generic conceptual and mathematical theme activities. It will promote research into how subsystems self-organise into new emergent structures when assembled into an open, non-equilibrium system. Outcomes will include new technologies and software tools and deeper understanding of fundamental questions i ....ARC Complex Open Systems Research Network. Complexity is the common frontier in the physical, biological and social sciences. This Network will link specialists in all three sciences through five generic conceptual and mathematical theme activities. It will promote research into how subsystems self-organise into new emergent structures when assembled into an open, non-equilibrium system. Outcomes will include new technologies and software tools and deeper understanding of fundamental questions in science. An essential function of the network will be introducing researchers end users to new tools and broadening the horizons of graduate students.Read moreRead less
Would more highly-qualified teachers and trainers help to address quality problems in the Australian vocational education and training system? This project examines whether and how higher-level qualifications for vocational education and training (VET) teachers would improve quality in the VET system. Government documents and public commentary indicate that the VET sector suffers from some fairly serious quality problems. This is significant because VET provides training that underpins all Austr ....Would more highly-qualified teachers and trainers help to address quality problems in the Australian vocational education and training system? This project examines whether and how higher-level qualifications for vocational education and training (VET) teachers would improve quality in the VET system. Government documents and public commentary indicate that the VET sector suffers from some fairly serious quality problems. This is significant because VET provides training that underpins all Australian industries. Most VET teachers are qualified only to a Certificate IV level. A more highly qualified VET teaching workforce is likely to lead to improvements in quality; however there is currently no firm evidence to establish this link, as the 2011 Productivity Commission report on the VET workforce pointed out. This project aims to provide much-needed evidence to guide policy.Read moreRead less
Equipping Australian teachers today to face AI tomorrow. Applications of Artificial Intelligence (AI) are set to transform society, including how people work and learn. Yet there is very little research about what Australian teachers need to know in order to prepare students to thrive in an AI-rich society and workforce. This study aims to construct a foundational understanding for teaching with and about AI. It will also show how to develop effective networks to empower teachers as active chang ....Equipping Australian teachers today to face AI tomorrow. Applications of Artificial Intelligence (AI) are set to transform society, including how people work and learn. Yet there is very little research about what Australian teachers need to know in order to prepare students to thrive in an AI-rich society and workforce. This study aims to construct a foundational understanding for teaching with and about AI. It will also show how to develop effective networks to empower teachers as active change agents. The expected outcomes will equip teachers with the knowledge and resources to lead the development of Australia’s future AI capability, including through enhanced classroom practices and more creative teacher networks.Read moreRead less