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
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
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
Discovery Early Career Researcher Award - Grant ID: DE230100495
Funder
Australian Research Council
Funding Amount
$422,154.00
Summary
Structured Federated Learning for Personalised Intelligence on Devices. The project aims to develop a new structured federated machine-learning framework to enhance the customisation of artificial intelligence across mobile and smart devices. It seeks to enable users to receive customised services on their devices without sending their sensitive personal data to a cloud service provider. Anticipated benefits include greater privacy, data security and device performance, as well as better end-use ....Structured Federated Learning for Personalised Intelligence on Devices. The project aims to develop a new structured federated machine-learning framework to enhance the customisation of artificial intelligence across mobile and smart devices. It seeks to enable users to receive customised services on their devices without sending their sensitive personal data to a cloud service provider. Anticipated benefits include greater privacy, data security and device performance, as well as better end-user experience. Expected outcomes of this research include new knowledge, toolkits and algorithms for use in developing machine-learning based secure, efficient and fault-tolerant technologies for software applications, mobile services, cloud computing, autonomous vehicles and advanced manufacturing processes.Read moreRead less
Industry Laureate Fellowships - Grant ID: IL230100154
Funder
Australian Research Council
Funding Amount
$2,582,419.00
Summary
Fixing the NDIS: cost, effectiveness and access for psychosocial disability. This project aims to address serious deficits in the operation of the National Disability Insurance Scheme for one of its largest participant groups: people with psychosocial disability. This project expects to develop new data on scheme outcomes, cost-effectiveness and participant experiences to develop an appropriate and implementable program logic to improve supports for this group. Expected outcomes will be scheme r ....Fixing the NDIS: cost, effectiveness and access for psychosocial disability. This project aims to address serious deficits in the operation of the National Disability Insurance Scheme for one of its largest participant groups: people with psychosocial disability. This project expects to develop new data on scheme outcomes, cost-effectiveness and participant experiences to develop an appropriate and implementable program logic to improve supports for this group. Expected outcomes will be scheme reform by implementing a new framework of supports for psychosocial disability and data to improve the operation of national policy for this group more broadly. This should provide significant benefits for the cost-effective operation of the National Disability Insurance Scheme and build research capacity in disability policy.Read moreRead less
Excellent researchers: Using learner profiles to enhance research learning. Recent evidence concerning metacognitive learning and affect reveals that research degree candidates are a diverse group of learners, and little is known about explaining wasteful attrition, stress and delays in progress. Such a study is essential, especially given the growth in research degrees, new transitional pathways, diversity in candidate backgrounds and chronic high attrition. This longitudinal study applies new ....Excellent researchers: Using learner profiles to enhance research learning. Recent evidence concerning metacognitive learning and affect reveals that research degree candidates are a diverse group of learners, and little is known about explaining wasteful attrition, stress and delays in progress. Such a study is essential, especially given the growth in research degrees, new transitional pathways, diversity in candidate backgrounds and chronic high attrition. This longitudinal study applies new findings about doctoral learning profiles in a direct intervention (DOCLearnPro) that targets individual differences across students in doctoral and master’s degrees to improve learning outcomes significantly and contribute theoretically, methodologically and substantively in order to advance understanding of researcher development.Read moreRead less