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
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
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
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
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 to Reason in Reinforcement Learning. Deep Reinforcement Learning (RL) uses deep neural networks to represent and learn optimal decision-making policies for intelligent agents in complex environments. However, most RL approaches require millions of episodes to converge to good policies, making it difficult for RL to be applied in real-world scenarios taking significant resources. This project aims to equip RL with capabilities such as counterfactual reasoning and outcome anticipation to ....Learning to Reason in Reinforcement Learning. Deep Reinforcement Learning (RL) uses deep neural networks to represent and learn optimal decision-making policies for intelligent agents in complex environments. However, most RL approaches require millions of episodes to converge to good policies, making it difficult for RL to be applied in real-world scenarios taking significant resources. This project aims to equip RL with capabilities such as counterfactual reasoning and outcome anticipation to significantly reduce the number of interactions required, improve generalisation, and provide the agent with the capability to consider the cause-effects. These improvements would narrow the gap between AI and human capabilities and broaden the adoption of RL in real-world applications.Read moreRead less
Square Eyes or All Lies? Understanding Children's Exposure to Screens. This project will examine Australian parents’ number one concern about their children’s health and behaviour – their interactions with electronic screens. Current screen time guidelines are based on low-quality evidence and lack the nuance required to address this complex issue. This project will use innovative technology to resolve these weaknesses. Wearable cameras will measure what children are doing on screens, and where, ....Square Eyes or All Lies? Understanding Children's Exposure to Screens. This project will examine Australian parents’ number one concern about their children’s health and behaviour – their interactions with electronic screens. Current screen time guidelines are based on low-quality evidence and lack the nuance required to address this complex issue. This project will use innovative technology to resolve these weaknesses. Wearable cameras will measure what children are doing on screens, and where, when, and how long they are doing it. The project will also investigate how screen time impacts children’s development and how it is influenced by their environment. This evidence will benefit children by improving screen time guidelines, and help parents understand the impact of screen time on children’s development.
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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