Using shape change for object perception: human and artificial vision. This project aims to examine the steps taken by the visual system to code the shape of objects, including those that change shape over time. The project seeks to employ experiments assessing human vision and machine learning techniques to examine these codes and, in particular, focus on the advantages of a system that exaggerates shape change over time. Expected outcomes include an improved shape code based on superior human ....Using shape change for object perception: human and artificial vision. This project aims to examine the steps taken by the visual system to code the shape of objects, including those that change shape over time. The project seeks to employ experiments assessing human vision and machine learning techniques to examine these codes and, in particular, focus on the advantages of a system that exaggerates shape change over time. Expected outcomes include an improved shape code based on superior human performance that can have many applications in automated visual systems. This project can directly benefit the animation industries where the creation of realistic movement of humans and animals remains a computationally intensive challenge.Read moreRead less
Practice-based Systematized Nomenclature of Medicine (SNOMED) concept learning for drug-disease precaution early detection and refinement. The outcome of the Systematized Nomenclature of Medicine (SNOMED) concept learning system will help mitigate the impact of Adverse Drug Events hence directly contribute to the National Research Priority promoting and maintaining good health. It will tailor SNOMED knowledge to different clinical settings and provide evidence-based preventative health care. Th ....Practice-based Systematized Nomenclature of Medicine (SNOMED) concept learning for drug-disease precaution early detection and refinement. The outcome of the Systematized Nomenclature of Medicine (SNOMED) concept learning system will help mitigate the impact of Adverse Drug Events hence directly contribute to the National Research Priority promoting and maintaining good health. It will tailor SNOMED knowledge to different clinical settings and provide evidence-based preventative health care. The enabling methodology from this project for building computerised cognitive learning systems will be a frontier technology to enhance smart information use in clinical decision support. It will also contribute to the development of knowledge-based systems. A network version of the developed system will assist doctors working in rural and remote areas with their clinical decision making and prescribing practice.Read moreRead less
Design of adaptive learning visual sensor networks for crowd modelling in high-density and occluded scenarios. Partnering University of Melbourne researchers, with video surveillance experts SenSen, engineering consultants ARUP and the Melbourne Cricket Club, the project addresses research enabling a system-integrating, existing surveillance, infrastructure to model crowd behaviour and exit strategies, providing real-time analysis, prediction and response capabilities for venue managers and emer ....Design of adaptive learning visual sensor networks for crowd modelling in high-density and occluded scenarios. Partnering University of Melbourne researchers, with video surveillance experts SenSen, engineering consultants ARUP and the Melbourne Cricket Club, the project addresses research enabling a system-integrating, existing surveillance, infrastructure to model crowd behaviour and exit strategies, providing real-time analysis, prediction and response capabilities for venue managers and emergency services. This new capability enhances utilisation of security resources to prevent injury and fatalities in evacuation scenarios, applicable to existing venues and influencing the development of new facilities around the country. The project delivers researcher training, global clientele for local technology and a platform for local industry growth.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE150100731
Funder
Australian Research Council
Funding Amount
$361,744.00
Summary
Contextual supports for the early development of self-regulated learning. How do young children develop critical learning behaviours that are the key for their future academic success? What kinds of environments support this development? This project aims to answer these questions by investigating the development of regulatory behaviours (with a specific focus on self-regulated learning) during the first two years of schooling, and identifying critical contextual variables at home and at school ....Contextual supports for the early development of self-regulated learning. How do young children develop critical learning behaviours that are the key for their future academic success? What kinds of environments support this development? This project aims to answer these questions by investigating the development of regulatory behaviours (with a specific focus on self-regulated learning) during the first two years of schooling, and identifying critical contextual variables at home and at school impacting on this development. Findings from this research will provide crucial information for the design of family and practitioner-based interventions helping to improve the educational outcomes of young Australians.Read moreRead less
Advancing future primary teachers' engagement in science inquiry learning. Australia's challenges in regard to scientific literacy and growth of student enrolments in science need to be addressed at multiple levels, starting with the preparation of future primary teachers. Promoting children's early interest in inquiry-based science is essential, yet a challenge for many teachers. This project examines the complex and dynamic interplay of cognitive, metacognitive and emotional processes in futur ....Advancing future primary teachers' engagement in science inquiry learning. Australia's challenges in regard to scientific literacy and growth of student enrolments in science need to be addressed at multiple levels, starting with the preparation of future primary teachers. Promoting children's early interest in inquiry-based science is essential, yet a challenge for many teachers. This project examines the complex and dynamic interplay of cognitive, metacognitive and emotional processes in future primary teachers' engagement in collaborative inquiry-based science activities. A comprehensive intervention based on these insights aims to determine how scaffolding productive engagement can improve the quality of primary teachers' preparation for inquiry-based science.Read moreRead less
Rethinking higher education persistence. This project aims to address the issue of early departure from university. Many students leave higher education and disproportionate numbers are from educationally disadvantaged groups, including first-in-family learners. Too often, the individual learner is 'blamed' for this departure and perceived as deficit in necessary knowledge. This project extends previous research into how first-in-family students manage and engage with higher education. Expected ....Rethinking higher education persistence. This project aims to address the issue of early departure from university. Many students leave higher education and disproportionate numbers are from educationally disadvantaged groups, including first-in-family learners. Too often, the individual learner is 'blamed' for this departure and perceived as deficit in necessary knowledge. This project extends previous research into how first-in-family students manage and engage with higher education. Expected outcomes include knowledge about university persistence behaviours and a capabilities informed framework to design and implement future retention strategies.Read moreRead less
Emotional learning in socioscientific issues for enhancement of scientific literacy. This project will aim to address international concerns about waning student interest and participation in science by engaging middle school students imaginatively in socioscientific issues. Expected outcomes will enhance students' scientific literacy, and the production of positive emotional energy and the classroom emotional climate.
Small steps in science: developing young children's science understanding through playgroup incursions. This project will determine how best to structure science-related incursions into playgroups to provide quality experiences to assist children’s learning and to increase adult-child engagement in science activities. The resulting increased understanding will assist parents and early childhood educators to teach science effectively to young children.
Integrating Models of Memory for Serial Order. This research aims to compare and integrate computational models of memory for serial order. The applicants have independently developed theoretically novel models, and this collaboration will enable them to combine and strengthen their complementary perspectives.
Much psychologically important processing, for example speech perception and spelling, requires the representation and reproduction of serial order information. Existing models account ....Integrating Models of Memory for Serial Order. This research aims to compare and integrate computational models of memory for serial order. The applicants have independently developed theoretically novel models, and this collaboration will enable them to combine and strengthen their complementary perspectives.
Much psychologically important processing, for example speech perception and spelling, requires the representation and reproduction of serial order information. Existing models account for a wide range of data and collectively represent exciting progress in the understanding of basic mechanisms of memory. Can these models be unified and reconciled? To date, detailed comparisons of models are lacking. This proposal is for the applicants to elaborate and unify their contrasting theoretical approaches.
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The role of time and similarity in short-term memory. The project examines the role of time and similarity in memory for serial order, with the long-term goal to construct a new computational model of short-term memory. The investigators are internationally known for their models, and the collaboration will enable them to combine their complementary perspectives into a unifying theory. Theory construction will be guided by two sets of studies: The first will delineate the circumstances, if any, ....The role of time and similarity in short-term memory. The project examines the role of time and similarity in memory for serial order, with the long-term goal to construct a new computational model of short-term memory. The investigators are internationally known for their models, and the collaboration will enable them to combine their complementary perspectives into a unifying theory. Theory construction will be guided by two sets of studies: The first will delineate the circumstances, if any, under which temporal separation at encoding affects memory. So far, we have shown that temporal distinctiveness has no effect on memory, unless people use temporal gaps to 'chunk' the list. The second set of studies will examine whether phonological similarity determines the strength of encoding.Read moreRead less