Every Day Matters: Reducing School Non-Attendance in Autistic Students. Autistic children miss one day a week of school, three times more than their peers. This significantly impacts their learning, wellbeing and later, their vocational outcomes. This project aims to identify the factors that put autistic children at increased risk of missing school and map the supports and interventions used to reduce school non-attendance. Expected outcomes include an autism-specific model of the how and why s ....Every Day Matters: Reducing School Non-Attendance in Autistic Students. Autistic children miss one day a week of school, three times more than their peers. This significantly impacts their learning, wellbeing and later, their vocational outcomes. This project aims to identify the factors that put autistic children at increased risk of missing school and map the supports and interventions used to reduce school non-attendance. Expected outcomes include an autism-specific model of the how and why school non-attendance is elevated for autistic students. It is anticipated that this model make the important step of enabling teachers and professionals to identify which autistic children are most at risk of absenteeism and select the best strategies to support a positive and beneficial return to school.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
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
"I think; therefore I am": Loneliness and neurodevelopmental disorders. This project aims to develop a 3-D animated program for adolescents with neurodevelopmental disorders (NDDs) that alters the automatic biases arising from their everyday social communication difficulties (including via social media), which result in negative thought patterns and loneliness. Negative thought patterns, which are arguably the hallmarks of, and causal in, the development of emotional dysfunction are amplified by ...."I think; therefore I am": Loneliness and neurodevelopmental disorders. This project aims to develop a 3-D animated program for adolescents with neurodevelopmental disorders (NDDs) that alters the automatic biases arising from their everyday social communication difficulties (including via social media), which result in negative thought patterns and loneliness. Negative thought patterns, which are arguably the hallmarks of, and causal in, the development of emotional dysfunction are amplified by loneliness, and adolescents with NDDs experience significantly greater levels of loneliness. Altering these negative thought patterns via an engaging 3-D animated program offers great potential to improve educational and social-emotional outcomes along with generating economic benefits nationally and internationally.Read moreRead less
The impact of urban vertical schools on students’ capability and wellbeing. Urban vertical schools are new types of schools in Australia. There are no evidence-based Australian precedents to guide designers or educators, no formal knowledge sharing processes that draw on experiences of pioneers, and little understanding of what these spaces mean for student capability and wellbeing. This evaluative case study will bring together evidence from designers, educators and students in three newly buil ....The impact of urban vertical schools on students’ capability and wellbeing. Urban vertical schools are new types of schools in Australia. There are no evidence-based Australian precedents to guide designers or educators, no formal knowledge sharing processes that draw on experiences of pioneers, and little understanding of what these spaces mean for student capability and wellbeing. This evaluative case study will bring together evidence from designers, educators and students in three newly built urban, vertical schools. Project findings will point to inclusive principles for designing and leading in physical, digital and social school spaces to maximise student wellbeing and capability. Insights into student experiences in urban, vertical school spaces will have value for infrastructure spending in all schools.Read moreRead less
Modelling Adversarial Noise for Trustworthy Data Analytics. Adversarial robustness is a core property of trustworthy machine learning. This project aims to equip machines with the ability to model adversarial noise for defending adversarial attacks. The project expects to produce the next great step for artificial intelligence – the potential to robustly explore and exploit deceptive data. Expected outcomes of this project include theoretical foundations for modelling adversarial noise and the n ....Modelling Adversarial Noise for Trustworthy Data Analytics. Adversarial robustness is a core property of trustworthy machine learning. This project aims to equip machines with the ability to model adversarial noise for defending adversarial attacks. The project expects to produce the next great step for artificial intelligence – the potential to robustly explore and exploit deceptive data. Expected outcomes of this project include theoretical foundations for modelling adversarial noise and the next generation of intelligent systems to accommodate data in a noisy and hostile environment. This should benefit science, society, and the economy nationally and internationally through the applications to trustworthily analyse their corresponding complex data. Read moreRead less
Accessible Data Exploration and Analysis for Blind People. This project aims to develop new assistive technologies that will enable blind people to explore and analyse data more readily. The project expects to generate new knowledge in the fields of assistive technology, multimodal interfaces, dialogue systems and natural language understanding and generation. The expected outcome of the project is an innovative conversational agent that uses a mix of speech and tactile graphics to communicate ....Accessible Data Exploration and Analysis for Blind People. This project aims to develop new assistive technologies that will enable blind people to explore and analyse data more readily. The project expects to generate new knowledge in the fields of assistive technology, multimodal interfaces, dialogue systems and natural language understanding and generation. The expected outcome of the project is an innovative conversational agent that uses a mix of speech and tactile graphics to communicate with a blind user and proactively assists with data analysis tasks. This should provide significant benefits, as it will overcome barriers to data analysis and exploration by blind people that currently restrict access to government, health and personal data, and limit employment opportunities.Read moreRead less
Improving academic outcomes by moderating anxiety in children with autism. The project aims to investigate links between anxiety and academic enablers for children with autism. As a group, these children are currently achieving at lower rates than their peers, with implications for their future social and economic wellbeing. Effective interventions to improve educational outcomes are lacking. This project will investigate how anxiety, a commonly occurring condition in autism, impacts attitudes a ....Improving academic outcomes by moderating anxiety in children with autism. The project aims to investigate links between anxiety and academic enablers for children with autism. As a group, these children are currently achieving at lower rates than their peers, with implications for their future social and economic wellbeing. Effective interventions to improve educational outcomes are lacking. This project will investigate how anxiety, a commonly occurring condition in autism, impacts attitudes and behaviours that facilitate students’ participation in and ability to benefit from academic instruction in the classroom. Findings are intended to provide an evidence base for the development of an intervention suitable for use by service providers to increase academic achievement in children with autism.Read moreRead less
Improving outcomes through accessible assessment and inclusive practices. Complex assessment tasks and pedagogies present barriers to the learning and achievement of students with disability, including those with language and/or attentional difficulties. This research will test: 1) whether accessible assessment task design leads to improved student outcomes; 2) whether enhancing teachers’ inclusive practice improves student access to formative assessment pedagogies, enabling more accurate studen ....Improving outcomes through accessible assessment and inclusive practices. Complex assessment tasks and pedagogies present barriers to the learning and achievement of students with disability, including those with language and/or attentional difficulties. This research will test: 1) whether accessible assessment task design leads to improved student outcomes; 2) whether enhancing teachers’ inclusive practice improves student access to formative assessment pedagogies, enabling more accurate student understanding of assessment aims and requirements; and 3) how improvements in task design and teacher practice can be sustained and upscaled across secondary school departments. Expected outcomes of international significance are more inclusive learning and assessment practices with the potential to benefit all students.Read moreRead less
Small Scalable Natural Language Models using Explicit Memory. Deep neural networks have had spectacular success in natural language processing, seeing wide-spread deployment as part of automatic assistant devices in homes and cars, and across many valuable industries including finance, medicine and law. Fueling this success is the use of ever larger models, with exponentially increasing training resources, accompanying hardware and energy demands. This project aims to develop more compact models ....Small Scalable Natural Language Models using Explicit Memory. Deep neural networks have had spectacular success in natural language processing, seeing wide-spread deployment as part of automatic assistant devices in homes and cars, and across many valuable industries including finance, medicine and law. Fueling this success is the use of ever larger models, with exponentially increasing training resources, accompanying hardware and energy demands. This project aims to develop more compact models, based on the incorporation of an explicit searchable memory, which will dramatically reduce model size, hardware requirements and energy usage. This will make modern natural language processing more accessible, while also providing greater flexibility, allowing for more adaptable and portable technologies.Read moreRead less