Optimising students’ academic trajectories: The role of growth (‘personal best’) goals. Too many students fail to reach their academic potential and, as a result, they risk being systematically denied a sense of academic ‘success’ and progress. Through a focus on academic growth (and ‘personal bests’), this research project traverses complex terrain to identify the role of growth goals and growth goal setting in students’ academic trajectories. It also tackles methodological challenges that have ....Optimising students’ academic trajectories: The role of growth (‘personal best’) goals. Too many students fail to reach their academic potential and, as a result, they risk being systematically denied a sense of academic ‘success’ and progress. Through a focus on academic growth (and ‘personal bests’), this research project traverses complex terrain to identify the role of growth goals and growth goal setting in students’ academic trajectories. It also tackles methodological challenges that have impeded research progress in this compelling area. Through strategic international and institutional links, the research program will identify innovative approaches to academic growth and growth goals that will significantly assist pedagogy and psychology aimed at optimising students’ academic potential.Read moreRead less
Transforming primary teachers' representational practices: effects on students' scientific reasoning and discourse within contemporary sciences. Training teachers to appropriately represent and communicate scientific information is critically important for promoting scientific thinking and learning in students. This research is critical to securing Australia's future interests in developing new and emerging frontier science and technologies through the engagement and retention of students.
Solving the inert knowledge problem. A central goal of education is for students to transfer what they learn to new contexts or problems. Indeed, expert reasoning is often characterised by seeing the deep structural commonalities across seemingly disparate situations. However, the knowledge students acquire is notoriously inert, tied to the specifics of the learning examples. This project aims to move towards solving 'the inert knowledge problem' by investigating how humans learn concepts define ....Solving the inert knowledge problem. A central goal of education is for students to transfer what they learn to new contexts or problems. Indeed, expert reasoning is often characterised by seeing the deep structural commonalities across seemingly disparate situations. However, the knowledge students acquire is notoriously inert, tied to the specifics of the learning examples. This project aims to move towards solving 'the inert knowledge problem' by investigating how humans learn concepts defined by abstract relational structure, and by designing educational applications that enhance the use of relational learning mechanisms in students with a wide range of cognitive abilities.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
Discrimination learning in humans: Associative and attentional mechanisms. This project offers three major benefits: (1) Australian researchers excel in cognitive neuroscience, learning and psychopharmacology, areas based largely on animal models of human cognition. This project contributes to these areas by specifying the relationship between animal learning and human cognition; (2) the project enhances Australia's international reputation in these areas via its collaboration with a scientist ....Discrimination learning in humans: Associative and attentional mechanisms. This project offers three major benefits: (1) Australian researchers excel in cognitive neuroscience, learning and psychopharmacology, areas based largely on animal models of human cognition. This project contributes to these areas by specifying the relationship between animal learning and human cognition; (2) the project enhances Australia's international reputation in these areas via its collaboration with a scientist of Geoff Hall's stature; it also offers students outstanding research training and international exposure; (3) given Chris Mitchell's industry experience and the relevance of this work to advertising/marketing, this project will generate knowledge relevant to, and possible future collaborations with, Australian industries.Read moreRead less
Evaluating models of category learning that use general feature-based representations. Three competing models of human category learning will be evaluated by comparing their behaviour to human performance on an experimental task where each model makes qualitatively different predictions. A series of theoretical and algorithmic advances will be undertaken to ensure each of the category learning models uses the same feature-based representation. Because the three models propose very different lear ....Evaluating models of category learning that use general feature-based representations. Three competing models of human category learning will be evaluated by comparing their behaviour to human performance on an experimental task where each model makes qualitatively different predictions. A series of theoretical and algorithmic advances will be undertaken to ensure each of the category learning models uses the same feature-based representation. Because the three models propose very different learning processes, their comparison will give insight into the basic cognitive process of categorisation. The algorithms for generating feature representations and modelling human category learning will also have potential for application in data visualisation and information handling systems.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190101096
Funder
Australian Research Council
Funding Amount
$410,500.00
Summary
A rhythm and movement intervention for self-regulation in preschool. This project aims to examine the effectiveness of a rhythm and movement intervention, delivered by early childhood teachers, to improve self-regulation for preschool-aged children living in disadvantaged communities. Coordinated rhythmic movement activities are proposed as an effective means to support the neurological bases of self-regulation and enhance motor, auditory, and self-regulatory functioning. Project outcomes will i ....A rhythm and movement intervention for self-regulation in preschool. This project aims to examine the effectiveness of a rhythm and movement intervention, delivered by early childhood teachers, to improve self-regulation for preschool-aged children living in disadvantaged communities. Coordinated rhythmic movement activities are proposed as an effective means to support the neurological bases of self-regulation and enhance motor, auditory, and self-regulatory functioning. Project outcomes will include resources designed for teachers on how to use rhythmic movement activities to improve young children’s skills to regulate attention and behaviour. This project will have significant benefits for positive school transition, and may help to address disparities in early learning and childhood wellbeing.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140100751
Funder
Australian Research Council
Funding Amount
$379,506.00
Summary
How health shapes young children’s academic outcomes, and opportunities to intervene. Every year, about 280,000 Australian children make the crucial transition from preschool to formal education. Within this population, there is a wide range of learning capabilities and levels of preparedness. Children who have difficulties during the early years have greater risk of poorer academic and social outcomes. This project aims to determine how children's academic outcomes are shaped by common physical ....How health shapes young children’s academic outcomes, and opportunities to intervene. Every year, about 280,000 Australian children make the crucial transition from preschool to formal education. Within this population, there is a wide range of learning capabilities and levels of preparedness. Children who have difficulties during the early years have greater risk of poorer academic and social outcomes. This project aims to determine how children's academic outcomes are shaped by common physical health problems during the early years of school and how best to address these problems within the traditional school setting. This will inform future research as to the opportunities to help all children have the best opportunity to learn so they can reach their academic potential.Read moreRead less
Hierarchical Bayesian Models for Human Conceptual Learning. This project seeks to understand the nature of human conceptual learning. With the shift to an information-based economy, it becomes important to understand what assumptions a real-world learning system should make. Even given the impressive growth of machine learning and artificial intelligence, the human mind remains the most successful example of such a system. In this light, the scientific study of human conceptual structure present ....Hierarchical Bayesian Models for Human Conceptual Learning. This project seeks to understand the nature of human conceptual learning. With the shift to an information-based economy, it becomes important to understand what assumptions a real-world learning system should make. Even given the impressive growth of machine learning and artificial intelligence, the human mind remains the most successful example of such a system. In this light, the scientific study of human conceptual structure presents the opportunity to discover how an intelligent thinking system should operate. In addition, many important problems facing an information economy involve being able to understand how people behave. An understanding of the concepts people use is central to this endeavour.Read moreRead less
'As-if thinking': an experimental analysis of human reasoning and decision-making. The failure to respond adequately to the havoc wreaked by Hurricane Katrina in 2005 highlighted the difficulty of sequential decision-making. Responses to such emergencies require detailed contingency plans, necessitating a consideration of all possible outcomes of a situation regardless of their objective probability. This project takes an innovative approach to the experimental analysis of human reasoning and de ....'As-if thinking': an experimental analysis of human reasoning and decision-making. The failure to respond adequately to the havoc wreaked by Hurricane Katrina in 2005 highlighted the difficulty of sequential decision-making. Responses to such emergencies require detailed contingency plans, necessitating a consideration of all possible outcomes of a situation regardless of their objective probability. This project takes an innovative approach to the experimental analysis of human reasoning and decision-making, with the aim of identifying the mechanisms, factors, and boundary conditions affecting inferences and decisions about uncertain alternatives. The research will inform planning for Australia's readiness to respond to unpredictable events with uncertain outcomes and enhance the reputation of Australian science.Read moreRead less