Human-centred Teamwork Analytics. This project aims to develop methods to assist the assessment and improvement of collocated teamwork, by making multimodal activity traces visible and available for computational analysis. This project expects to bridge the gap between promising sensing technologies and the dearth of tools to automatically assess teamwork. Expected outcomes include co-design and modelling methodologies for human-centred analytics that map from low-level data to higher-order cons ....Human-centred Teamwork Analytics. This project aims to develop methods to assist the assessment and improvement of collocated teamwork, by making multimodal activity traces visible and available for computational analysis. This project expects to bridge the gap between promising sensing technologies and the dearth of tools to automatically assess teamwork. Expected outcomes include co-design and modelling methodologies for human-centred analytics that map from low-level data to higher-order constructs to enable non-data science savvy users to get actionable insights into multimodal team traces. This research aims to provide significant benefits to Australia, with communication and teamwork being two of the topmost critical skills required by Australian employers.Read moreRead less
Young children in digital society: An Online Tool for service provision . This project aims to identify the practices enacted and shared amongst young children, their families and educators in digital society.The project is significant because in digital society families and educators face new demands ensuring technologies are used in the best interests of young children. Knowledge about practices in digital society informs adult decision-making using technologies with, by and for young children ....Young children in digital society: An Online Tool for service provision . This project aims to identify the practices enacted and shared amongst young children, their families and educators in digital society.The project is significant because in digital society families and educators face new demands ensuring technologies are used in the best interests of young children. Knowledge about practices in digital society informs adult decision-making using technologies with, by and for young children in the early years. The outcome is a new Online Tool for the Partner Organisations to share exemplar practices benefiting Australian children, their families and educators with new resources, materials and programs in areas including: digital media production, cyber-safety education, digital play and digital parenting.
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Supporting teachers and teaching in the age of Artificial Intelligence. This project aims to investigate teacher capabilities to respond to, and engage with, Artificial Intelligence (AI) tools in their classrooms and online teaching. This project expects to generate significant new knowledge about teacher workforce development to work productively alongside AI and other automated technologies. Expected outcomes include insights into technical, organisational and social issues surrounding the dep ....Supporting teachers and teaching in the age of Artificial Intelligence. This project aims to investigate teacher capabilities to respond to, and engage with, Artificial Intelligence (AI) tools in their classrooms and online teaching. This project expects to generate significant new knowledge about teacher workforce development to work productively alongside AI and other automated technologies. Expected outcomes include insights into technical, organisational and social issues surrounding the deployment of AI tools in schools, and the development of models of AI best practice and professional learning. This should provide significant benefits such as improved classroom outcomes and better use of technical infrastructure investment.Read moreRead less
Assessments for writing with generative artificial intelligence . This project aims to develop a novel assessment framework for writing with generative artificial intelligence—a new technology capable of producing text with humanlike fluency. This project endeavours to produce new knowledge at the intersection of learning analytics, the learning sciences, and educational technology using innovative methods for data capture and analysis. Expected outcomes of this project include the first valid, ....Assessments for writing with generative artificial intelligence . This project aims to develop a novel assessment framework for writing with generative artificial intelligence—a new technology capable of producing text with humanlike fluency. This project endeavours to produce new knowledge at the intersection of learning analytics, the learning sciences, and educational technology using innovative methods for data capture and analysis. Expected outcomes of this project include the first valid, feasible, and reliable framework for assessing writing composed with the help of artificial intelligence. This should provide significant benefits to (a) writing assessment in higher education, (b) student learning, and (c) our understanding of collaborations between humans and artificial intelligence.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
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
Equipping Australian teachers today to face AI tomorrow. Applications of Artificial Intelligence (AI) are set to transform society, including how people work and learn. Yet there is very little research about what Australian teachers need to know in order to prepare students to thrive in an AI-rich society and workforce. This study aims to construct a foundational understanding for teaching with and about AI. It will also show how to develop effective networks to empower teachers as active chang ....Equipping Australian teachers today to face AI tomorrow. Applications of Artificial Intelligence (AI) are set to transform society, including how people work and learn. Yet there is very little research about what Australian teachers need to know in order to prepare students to thrive in an AI-rich society and workforce. This study aims to construct a foundational understanding for teaching with and about AI. It will also show how to develop effective networks to empower teachers as active change agents. The expected outcomes will equip teachers with the knowledge and resources to lead the development of Australia’s future AI capability, including through enhanced classroom practices and more creative teacher networks.Read moreRead less
Multi-resolution situation recognition for urban-aware smart assistant. This project aims to develop a situation recognition framework to recognise and anticipate unforeseen emerging situations, such as schedule changes, incidents, and disruptions in an urban environment. The project will address a significant knowledge gap by capturing and modelling unpredictability in human mobility and work routines. The outcome will be a situation recognition framework that can be applied at the individual, ....Multi-resolution situation recognition for urban-aware smart assistant. This project aims to develop a situation recognition framework to recognise and anticipate unforeseen emerging situations, such as schedule changes, incidents, and disruptions in an urban environment. The project will address a significant knowledge gap by capturing and modelling unpredictability in human mobility and work routines. The outcome will be a situation recognition framework that can be applied at the individual, social group, and urban level, and at multiple locations and time scales. This should provide users with timely notifications and recommendations to resume their activities and routines. The expected benefits will be far-ranging and adaptable to many domains, from personal smart assistants to trip planning and emergency services.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100153
Funder
Australian Research Council
Funding Amount
$361,446.00
Summary
Automatically summarising and measuring software development activity. This project aims to create technologies for automatically repackaging, interpreting, and aggregating software development activity. The project will devise new natural-language summarisation approaches and productivity metrics that use all data available in a software repository. This is likely to lead to knowledge and tools that allow organisations to quickly integrate new developers into existing software projects, to impr ....Automatically summarising and measuring software development activity. This project aims to create technologies for automatically repackaging, interpreting, and aggregating software development activity. The project will devise new natural-language summarisation approaches and productivity metrics that use all data available in a software repository. This is likely to lead to knowledge and tools that allow organisations to quickly integrate new developers into existing software projects, to improve project awareness, and to increase productivity goals. The outcomes would include a comprehensive decision and awareness support system for software projects, based on automating the creation and continual updating of developer activity summaries and measures.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100941
Funder
Australian Research Council
Funding Amount
$392,778.00
Summary
Practical and Explainable Analytics to Prevent Future Software Defects. This project aims to create technologies that enable software engineers to produce the highest quality software systems with the lowest costs, by preventing future defects in safety-critical systems that could result in death and disasters. Expected outcomes of this project include new theories, techniques, and analytics systems to assist software engineers accurately predict, explain, and prevent future software defects bef ....Practical and Explainable Analytics to Prevent Future Software Defects. This project aims to create technologies that enable software engineers to produce the highest quality software systems with the lowest costs, by preventing future defects in safety-critical systems that could result in death and disasters. Expected outcomes of this project include new theories, techniques, and analytics systems to assist software engineers accurately predict, explain, and prevent future software defects before they impact end users. This should provide significant benefits including accelerating the productivity of the software industry while preventing software defects in many critical domains including smart city and e-health applications.Read moreRead less