Discovery Early Career Researcher Award - Grant ID: DE140100750
Funder
Australian Research Council
Funding Amount
$395,106.00
Summary
Associative learning and fluid intelligence: Computational and neurogenetic analyses. This project investigates genetic contributions to associative learning, one of our most fundamental abilities. Associative learning allows us to navigate in our environment, predict future events and make appropriate decisions. Electrophysiological measures will be used to study learning processes precisely and to investigate their relationship to polymorphisms in genes that regulate neural function. This rese ....Associative learning and fluid intelligence: Computational and neurogenetic analyses. This project investigates genetic contributions to associative learning, one of our most fundamental abilities. Associative learning allows us to navigate in our environment, predict future events and make appropriate decisions. Electrophysiological measures will be used to study learning processes precisely and to investigate their relationship to polymorphisms in genes that regulate neural function. This research will further understanding of the mechanisms that generate individual differences in learning ability and will have applications for educational techniques and behavioural interventions.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
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
Discovery Early Career Researcher Award - Grant ID: DE120102378
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
What shapes the structure of language? An experimental and computational investigation. How do people learn language so easily, and how is the structure of language shaped by our learning biases? This project attempts to answer these questions through an innovative combination of experimental and computational tools, with implications for technological development as well as educational interventions for both children and adults.
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
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
Improving student outcomes: coaching teachers in the power of feedback. This project aims to investigate how student outcomes can be augmented through coaching teachers in effective feedback practice. The project addresses a critical problem of stagnating levels of student achievement in Australian schools with the innovative research design combining evidence-based, pedagogies of feedback, formative assessment and instructional coaching to improve teacher practice and ultimately raise student a ....Improving student outcomes: coaching teachers in the power of feedback. This project aims to investigate how student outcomes can be augmented through coaching teachers in effective feedback practice. The project addresses a critical problem of stagnating levels of student achievement in Australian schools with the innovative research design combining evidence-based, pedagogies of feedback, formative assessment and instructional coaching to improve teacher practice and ultimately raise student achievement levels. The project aims to guide policy implementation in pedagogy to raise the quality of teaching standards and to improve learning outcomes for Australian students. Ultimately, outcomes from the research will help close the gap for low achieving students, and challenge and extend those who may already be meeting required benchmarks. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100107
Funder
Australian Research Council
Funding Amount
$414,325.00
Summary
Resilience, culture, and class: A sociological study of Australian students. This project aims to promote academic resilience and school success in contexts of adverse conditions. Using interviews, Social Network Analysis, and psychometric measures, the project will explore links between academic resilience, culture, and class. The project is designed to provide insights that can reduce educational failure and enhance life prospects of at-risk students. Expected outcomes include publicly availab ....Resilience, culture, and class: A sociological study of Australian students. This project aims to promote academic resilience and school success in contexts of adverse conditions. Using interviews, Social Network Analysis, and psychometric measures, the project will explore links between academic resilience, culture, and class. The project is designed to provide insights that can reduce educational failure and enhance life prospects of at-risk students. Expected outcomes include publicly available project findings and an instructional animation to assist end-users build academic resilience in Australia's multicultural contexts. Expected benefits include attenuated achievement gap, increased social cohesion and mobility, and reduced public cost on educational failure.Read moreRead less