Learning how people read: Models, brains, big data and maths. Aims: This project aims to understand how people read. We will use novel mathematical methods, experimentation, brain imaging and computational modelling to adjudicate between model predictions.
Significance: This project expects to develop methods to understand and test important aspects of reading.
Expected outcomes: Expected outcomes are the development of novel methods for understanding complex models and the collection of data t ....Learning how people read: Models, brains, big data and maths. Aims: This project aims to understand how people read. We will use novel mathematical methods, experimentation, brain imaging and computational modelling to adjudicate between model predictions.
Significance: This project expects to develop methods to understand and test important aspects of reading.
Expected outcomes: Expected outcomes are the development of novel methods for understanding complex models and the collection of data that can extend and falsify current models of reading.
Benefits: These developments will significantly increase our understanding of how people read and what causes dyslexia. This work will also provide new ways to evaluate complex computational psychological models.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
Literacy Instruction for Children with Autism. There is a social and economic imperative to assist all individuals to reach their full potential with regard to literacy skills. The central goal of the proposed research is to develop and evaluate new ways to support comprehensive literacy instruction for children with autism spectrum disorder (ASD). Following our world-first pilot research, we will investigate the efficacy of the ABRACADABRA literacy instruction program delivered in small groups ....Literacy Instruction for Children with Autism. There is a social and economic imperative to assist all individuals to reach their full potential with regard to literacy skills. The central goal of the proposed research is to develop and evaluate new ways to support comprehensive literacy instruction for children with autism spectrum disorder (ASD). Following our world-first pilot research, we will investigate the efficacy of the ABRACADABRA literacy instruction program delivered in small groups of children with ASD supplemented by a novel parent-child shared book reading program. Immediate outcomes extend beyond advances in the science of reading to upskilling parents and professionals who support children with ASD, and provision of tangible life-long benefits for individuals with ASD.Read moreRead less
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
Sound discrimination in embryos affects lifetime fitness. This project aims to investigate the role of prenatal sound discrimination on postnatal vocal learning and foraging breadth. The project expects to generate new knowledge in the area of neuroscience and psychology using an innovative approach to measure how embryos learn, and determine effects of prenatal vocal experience on the repertoire of postnatal behaviour. Expected outcomes include understanding biological mechanisms for effective ....Sound discrimination in embryos affects lifetime fitness. This project aims to investigate the role of prenatal sound discrimination on postnatal vocal learning and foraging breadth. The project expects to generate new knowledge in the area of neuroscience and psychology using an innovative approach to measure how embryos learn, and determine effects of prenatal vocal experience on the repertoire of postnatal behaviour. Expected outcomes include understanding biological mechanisms for effective learning across life stages that would be useful to develop novel approaches for non-invasive monitoring of embryonic cognition.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
How are beliefs altered by data? Robust Bayesian models for human inductive learning. This project applies state of the art mathematical models to study how people think and reason, and how we can make good guesses about the future. The goal is to understand how the human mind can operate so effectively in real environments, when even the most powerful computers struggle to handle the complexities of everyday learning problems.
Reducing self-harm and suicidal behaviours in young people in WA. Aims: reduce self-harm and suicidal behaviours in young people by upskilling teachers and providing resources to respond rapidly to students at risk via an innovative intervention with near real-time measures of changes in vulnerability.
Significance: self-harm and suicidal behaviours are increasing at alarming rates in young people. Schools are ideally placed to respond but many struggle to do so. New regular measures and advance ....Reducing self-harm and suicidal behaviours in young people in WA. Aims: reduce self-harm and suicidal behaviours in young people by upskilling teachers and providing resources to respond rapidly to students at risk via an innovative intervention with near real-time measures of changes in vulnerability.
Significance: self-harm and suicidal behaviours are increasing at alarming rates in young people. Schools are ideally placed to respond but many struggle to do so. New regular measures and advanced machine learning algorithms measuring change in risk in real time will enable schools to respond in a timely and effective manner
and save lives.
Expected outcomes: a new intervention to reduce self-harm and suicidal behaviours in young people that measures fluctuations in risk via a Temporal Vulnerability Index.Read moreRead less
The provision of education to migrants and refugees: a longitudinal study of newly arrived students' experiences of education in Australia. This project will investigate the education provided to primary school aged newly-arrived students from non-English speaking backgrounds. The outcomes will help ensure that these students do not 'drop out' of school early, that their experiences of education in Australia are positive, and that their chances of securing employment are maximised.
Designing Learning Spaces for Diversity, Inclusion and Participation. This project aims to provide evidence-based guidance on how to design and/or modify mainstream schools to make it easier for students with disabilities to participate. It seeks to inform architects, educators, and policy makers about disabled students' spatial requirements and to develop strategies and tools to support the process of co-designing schools with people with lived experience of disability. The outcomes will includ ....Designing Learning Spaces for Diversity, Inclusion and Participation. This project aims to provide evidence-based guidance on how to design and/or modify mainstream schools to make it easier for students with disabilities to participate. It seeks to inform architects, educators, and policy makers about disabled students' spatial requirements and to develop strategies and tools to support the process of co-designing schools with people with lived experience of disability. The outcomes will include an inclusive learning spaces design framework. This is expected to benefit all students' access and meaningful involvement in learning through the development of more inclusive learning spaces. The research is significant because it integrates previously dissociated knowledge from architecture, education and health.Read moreRead less