Discovery Early Career Researcher Award - Grant ID: DE230100244
Funder
Australian Research Council
Funding Amount
$410,723.00
Summary
The Power of Teacher-Student Relationships to Optimise Student Outcomes. This project aims to determine how teacher-student relationships support adolescents’ motivation, engagement, and achievement in Mathematics, Science, and English via three hypothesised dimensions: socio-emotional support, instructional help, and conflict. This project expects to generate new knowledge about the impact of teacher-student relationships in each subject, over time, and if they can be improved by intervention. ....The Power of Teacher-Student Relationships to Optimise Student Outcomes. This project aims to determine how teacher-student relationships support adolescents’ motivation, engagement, and achievement in Mathematics, Science, and English via three hypothesised dimensions: socio-emotional support, instructional help, and conflict. This project expects to generate new knowledge about the impact of teacher-student relationships in each subject, over time, and if they can be improved by intervention. Expected outcomes include an online practice-driven toolkit and scalable intervention to enhance teacher capacity to build positive relationships. This knowledge will have significant benefits for students, teachers, and policy by identifying how to enhance the relationships most critical to adolescents’ academic success.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
The physics and art of expressive performance on wind instruments. This project aims to understand the non-linear physics underlying how musicians produce beautiful, expressive phrases. Elegant, expressive playing is much more than just the right notes. Using techniques unique to this team, we will give a deeper understanding of how breath pressure, mouth geometry and forces, tongue action and finger motions interact to communicate expression in musical phrases on a wind instrument. The outcome ....The physics and art of expressive performance on wind instruments. This project aims to understand the non-linear physics underlying how musicians produce beautiful, expressive phrases. Elegant, expressive playing is much more than just the right notes. Using techniques unique to this team, we will give a deeper understanding of how breath pressure, mouth geometry and forces, tongue action and finger motions interact to communicate expression in musical phrases on a wind instrument. The outcome will be the understanding of how varying control parameters interact at the physical level and how this communicates expression to listeners. Understanding interactions that expert players perform unconsciously will have significant benefits to music learning and teaching.Read moreRead less
Ready, steady, go: Infant motor development and cognition. This project aims to examine the changes in and relationships between cognition and motoric abilities during infancy. The project will utilise well-established and innovative measures of memory flexibility and motor development to generate new knowledge about the complex relationship between action, perception, and cognition. The expected outcomes will provide significant benefits such as increased scientific and public knowledge on earl ....Ready, steady, go: Infant motor development and cognition. This project aims to examine the changes in and relationships between cognition and motoric abilities during infancy. The project will utilise well-established and innovative measures of memory flexibility and motor development to generate new knowledge about the complex relationship between action, perception, and cognition. The expected outcomes will provide significant benefits such as increased scientific and public knowledge on early development and an evidence base on the normal stages of infant development, relevant for health policy.Read moreRead less
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
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
Coding animated narratives as contemporary multimodal authorship in schools. This project aims to investigate a re-conceptualisation of multimodal text creation to include inter-related processes of computer programming (coding) and computational thinking, which have previously been confined to technical fields in education research. The project seeks to generate knowledge of cross-curricular teaching pedagogies and student learning of multimodal composition, coding, and computational thinking i ....Coding animated narratives as contemporary multimodal authorship in schools. This project aims to investigate a re-conceptualisation of multimodal text creation to include inter-related processes of computer programming (coding) and computational thinking, which have previously been confined to technical fields in education research. The project seeks to generate knowledge of cross-curricular teaching pedagogies and student learning of multimodal composition, coding, and computational thinking in schools. The project expects to fortify students' capabilities to participate in new forms of digital authorship, developing their capacity for innovative application of computational thinking and coding. Intended benefits include an established evidence base for strengthening English and technology curricula in Australia and internationally.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
Data Complexity and Uncertainty-Resilient Deep Variational Learning. Enterprise data present increasingly significant characteristics and complexities, such as multi-aspect, heterogeneous and hierarchical features and interactions, and evolving dependencies and multi-distributions. They continue to significantly challenge the state-of-the-art probabilistic and neural learning systems with limited to insufficient capabilities and capacity. This research aims to develop a theory of flexible deep v ....Data Complexity and Uncertainty-Resilient Deep Variational Learning. Enterprise data present increasingly significant characteristics and complexities, such as multi-aspect, heterogeneous and hierarchical features and interactions, and evolving dependencies and multi-distributions. They continue to significantly challenge the state-of-the-art probabilistic and neural learning systems with limited to insufficient capabilities and capacity. This research aims to develop a theory of flexible deep variational learning transforming new deep probabilistic models with flexible variational neural mechanisms for analytically explainable, complexity-resilient analytics of real-life data. The outcomes are expected to fill important knowledge gaps and lift critical innovation competencies in wide domains.Read moreRead less