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
Toward Human-guided Safe Reinforcement Learning in the Real World. This project aims to investigate human-guided safe reinforcement learning (RL). Safe RL is an important topic that could enable real applications of RL systems by addressing safety constraints. Existing safe RL assumes the availability of specified safety constraints in mathematical or logical forms. This project proposes to study learning safety objectives from information provided directly by humans or indirectly via language m ....Toward Human-guided Safe Reinforcement Learning in the Real World. This project aims to investigate human-guided safe reinforcement learning (RL). Safe RL is an important topic that could enable real applications of RL systems by addressing safety constraints. Existing safe RL assumes the availability of specified safety constraints in mathematical or logical forms. This project proposes to study learning safety objectives from information provided directly by humans or indirectly via language models, and human-guided continuous correction for safety improvements. The established theories and developed algorithms will advance frontier technologies in AI and contribute to a wide range of real applications of safe RL, such as robotics and autonomous driving, bringing enormous social and economic benefits. Read moreRead less
Generative Visual Pre-training on Unlabelled Big Data. This project aims to develop a generative visual pre-training of large-scale deep neural networks on unlabelled big data. Developing pre-trained visual models that are accurate, robust, and efficient for downstream tasks is a keystone of modern computer vision, but it poses challenges and knowledge gaps to existing unsupervised representation learning. Expected outcomes include new theories and algorithms for unsupervised visual pre-training ....Generative Visual Pre-training on Unlabelled Big Data. This project aims to develop a generative visual pre-training of large-scale deep neural networks on unlabelled big data. Developing pre-trained visual models that are accurate, robust, and efficient for downstream tasks is a keystone of modern computer vision, but it poses challenges and knowledge gaps to existing unsupervised representation learning. Expected outcomes include new theories and algorithms for unsupervised visual pre-training, which are anticipated to deepen our understanding of visual representation and make it easier to build and deploy computer vision applications and services. Examples of benefits include modernising machines in manufacturing and farming with visual intelligence. Read moreRead less
Developing interdisciplinary expertise in universities. This project aims to create a strong integrative research foundation to explain how university researchers and students develop the expertise needed to work in interdisciplinary teams and how this development can be enhanced. It combines three perspectives investigating: how research and innovation communities create interdisciplinary knowledge, how interdisciplinary teams learn to function effectively and the personal resourcefulness that ....Developing interdisciplinary expertise in universities. This project aims to create a strong integrative research foundation to explain how university researchers and students develop the expertise needed to work in interdisciplinary teams and how this development can be enhanced. It combines three perspectives investigating: how research and innovation communities create interdisciplinary knowledge, how interdisciplinary teams learn to function effectively and the personal resourcefulness that enables individuals to participate in interdisciplinary work. The outcomes will provide a much better understanding of the qualities that help individuals and groups to work productively across disciplinary boundaries. They will be used to create better strategies for supporting interdisciplinary learningRead moreRead less
Exploiting Geometries of Learning for Fast, Adaptive and Robust AI. This project aims to uniquely exploit geometric manifolds in deep learning to advance the frontier of Artificial Intelligence (AI) research and applications in cybersecurity and general cognitive tasks. It expects to develop new theories, algorithms, tools, and technologies for machine learning systems that are fast, adaptive, lifelong and robust, even with limited supervision. Expected outcomes will enhance Australia's capabili ....Exploiting Geometries of Learning for Fast, Adaptive and Robust AI. This project aims to uniquely exploit geometric manifolds in deep learning to advance the frontier of Artificial Intelligence (AI) research and applications in cybersecurity and general cognitive tasks. It expects to develop new theories, algorithms, tools, and technologies for machine learning systems that are fast, adaptive, lifelong and robust, even with limited supervision. Expected outcomes will enhance Australia's capability and competitiveness in AI, and deliver robust and trustworthy learning technology. The project should provide significant benefits not only in advancing scientific and translational knowledge but also in accelerating AI innovations, safeguarding cyberspace, and reducing the burden on defence expenses in Australia.Read moreRead less
The Benefits of Utilising Visual-Spatial Representations of Numbers . The aim of this project is to investigate how visual-spatial representations of numbers enhance practice to promote the use of retrieval-based over counting-based strategies for children learning early arithmetic. About one-third of Australian children stay reliant on counting strategies for basic arithmetic, despite these being associated with lower achievement in mathematics in later years. Expected outcomes of this project ....The Benefits of Utilising Visual-Spatial Representations of Numbers . The aim of this project is to investigate how visual-spatial representations of numbers enhance practice to promote the use of retrieval-based over counting-based strategies for children learning early arithmetic. About one-third of Australian children stay reliant on counting strategies for basic arithmetic, despite these being associated with lower achievement in mathematics in later years. Expected outcomes of this project are new understandings of how problem-answer associations can be strengthened in memory and the development of tools to promote retrieval-based strategies. Potential benefits include children who are better prepared to take on higher-level mathematics in secondary school and, subsequently, more numerate citizens. Read moreRead less
Raising the literacy bar for economically-disadvantaged students. This project aims to promote higher order literacy skills among economically-disadvantaged students. Higher order literacy is critical for productive engagement in academic, economic and personal spheres of life in literacy-rich knowledge economies. Opportunities for disadvantaged students to develop advanced literacy skills are limited if schools serving these students focus predominantly on basic skills training. This project ....Raising the literacy bar for economically-disadvantaged students. This project aims to promote higher order literacy skills among economically-disadvantaged students. Higher order literacy is critical for productive engagement in academic, economic and personal spheres of life in literacy-rich knowledge economies. Opportunities for disadvantaged students to develop advanced literacy skills are limited if schools serving these students focus predominantly on basic skills training. This project will investigate contradictions in policies and practices in Australia and Hong Kong to understand why and how disadvantaged students are supported or unsupported to learn higher-order literacy skills. It also explores successful practices that promote such learning, alongside basic skills, for disadvantaged students. This will provide significant benefits such as providing new conceptual understandings of the policy-practice interface and empirical evidence to inform the design of effective practices that promote higher-order literacy skills, alongside basic skills, for economically-disadvantaged students in Australia and Hong Kong.Read moreRead less
Language for learning: Developing learning-oriented talk in long-day-care. This study aims to identify, for the first time, key features of infant-toddler long day care (LDC) environments that support or constrain the development and use of language as a critical tool for early learning. This project expects to generate new knowledge by investigating early LDC predictors of preschool language skills, and will deliver much-needed new evidence to inform LDC pedagogy and curriculum development and ....Language for learning: Developing learning-oriented talk in long-day-care. This study aims to identify, for the first time, key features of infant-toddler long day care (LDC) environments that support or constrain the development and use of language as a critical tool for early learning. This project expects to generate new knowledge by investigating early LDC predictors of preschool language skills, and will deliver much-needed new evidence to inform LDC pedagogy and curriculum development and practice and, ultimately, to improve long term educational outcomes. This will provide significant benefits, such as improving the quality of infant-toddler LDC programs, which stands to enhance children’s learning and life-long outcomes.Read moreRead less
Modelling complex learning spaces. The growing use of digital tools and resources means that students' learning activities are no longer tied to unique physical places. Their work is distributed across increasingly complex mixtures of physical and digital spaces, which both shape and are shaped by students' activity. This project aims to identify productive ways of modelling the characteristics and uses of complex learning spaces in higher education. Evidence and models generated by the project ....Modelling complex learning spaces. The growing use of digital tools and resources means that students' learning activities are no longer tied to unique physical places. Their work is distributed across increasingly complex mixtures of physical and digital spaces, which both shape and are shaped by students' activity. This project aims to identify productive ways of modelling the characteristics and uses of complex learning spaces in higher education. Evidence and models generated by the project aim to strengthen the logic connecting the use, management and design of learning spaces. A better understanding of the relations between pedagogy, activity and space will improve the work of architects and other designers, campus managers, university teachers and students themselves.Read moreRead less
Does a teacher-led mindfulness intervention improve student outcomes? This project aims to determine if improving teacher knowledge and practice of mindfulness in the classroom, can lead to better child attention and school functioning outcomes during the early primary school years. Mindfulness is an approach that aims to improve attention, self-regulation, mental health, and cognitive functioning. Expected outcomes include new knowledge as to whether mindfulness can be integrated into classroom ....Does a teacher-led mindfulness intervention improve student outcomes? This project aims to determine if improving teacher knowledge and practice of mindfulness in the classroom, can lead to better child attention and school functioning outcomes during the early primary school years. Mindfulness is an approach that aims to improve attention, self-regulation, mental health, and cognitive functioning. Expected outcomes include new knowledge as to whether mindfulness can be integrated into classroom practice, how to best implement it, student benefits and cost-effectiveness. Findings will inform schools as to whether this approach can support students in making a positive transition to primary school that can place them on positive academic and well-being pathways and lead to benefits in their adulthood.Read moreRead less