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
Using immersive virtual reality to enhance students’ science visualisation. This project aims to investigate the potential of advanced visualisation technology, immersive virtual reality, as a collaborative learning environment to support students to explore their ideas and learn a core chemistry concept, molecular structures and functions. Incorporating both data analytics and qualitative video analysis, the project will establish a deep understanding of how students learn about the molecular w ....Using immersive virtual reality to enhance students’ science visualisation. This project aims to investigate the potential of advanced visualisation technology, immersive virtual reality, as a collaborative learning environment to support students to explore their ideas and learn a core chemistry concept, molecular structures and functions. Incorporating both data analytics and qualitative video analysis, the project will establish a deep understanding of how students learn about the molecular world within an immersive virtual reality environment in relation to the learners’ experience, chemistry content, visual representations, learning tasks, and design features. The project will recommend evidence-driven design considerations for learning resources development and further educational research with advanced technologies.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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Investigating professional learning lives in the digital evolution of work. This project aims to investigate learning practices of professionals working in professions effected by digitalisation. The project expects to generate new knowledge about how professionals’ learning practices shape and are being shaped by evolving work practices. Expected outcomes of the project include new conceptual thinking about professional learning, and a contemporary and nuanced evidence base to inform innovative ....Investigating professional learning lives in the digital evolution of work. This project aims to investigate learning practices of professionals working in professions effected by digitalisation. The project expects to generate new knowledge about how professionals’ learning practices shape and are being shaped by evolving work practices. Expected outcomes of the project include new conceptual thinking about professional learning, and a contemporary and nuanced evidence base to inform innovative teaching and learning solutions for individuals, workplaces and education providers; particularly higher education. This project should provide significant benefits for a national policy on lifelong learning to address Australia’s agile skills development needs.
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Parent involvement goes online: New ecologies of school-home relations. This project aims to: identify forms of digital exclusion and inclusion impacting on parents’ ability to support their children’s education; produce a new conceptual model of technologically mediated school-home relationships; and provide a comprehensive map of school-home connected digital tools and services. Combining a detailed survey of 500 school leaders with innovative networked case studies across three schools and 18 ....Parent involvement goes online: New ecologies of school-home relations. This project aims to: identify forms of digital exclusion and inclusion impacting on parents’ ability to support their children’s education; produce a new conceptual model of technologically mediated school-home relationships; and provide a comprehensive map of school-home connected digital tools and services. Combining a detailed survey of 500 school leaders with innovative networked case studies across three schools and 18 families, this will be the first national study to comprehensively describe and analyse home-school partnerships in the digital age. It will provide policy and educational leadership with a roadmap for addressing barriers to digital inclusion, as schools advance their integration of digital platforms. 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
Quality in adult-child interactions during digital experiences. This project aims to address the digital phenomenon with young children by investigating possibilities for adult-child interactions, guidance for educators and ways to measure quality in interactions. The project intends to influence how mobile technologies and applications are created and used in early childhood contexts. Expected outcomes include theory and evidence-based guidelines for adults about how to interact with children d ....Quality in adult-child interactions during digital experiences. This project aims to address the digital phenomenon with young children by investigating possibilities for adult-child interactions, guidance for educators and ways to measure quality in interactions. The project intends to influence how mobile technologies and applications are created and used in early childhood contexts. Expected outcomes include theory and evidence-based guidelines for adults about how to interact with children during digital play. The findings may have implications for educators and families supporting children’s digital experiences as well as app designers creating digital opportunities. The project can therefore contribute to a global agenda focused on young children and technology.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
Secure Crowdsourcing Classification with Privacy Protection against Servers. This project aims to enable comprehensive quality data classification via secure crowdsourcing. The quality of a data-intensive process, such as a Machine Learning algorithm, depends on the input data quality. By using a crowdsourcing classification, the project expects to overcome the painstaking and costly process of humans correctly annotating extensive input data from diverse real information. The expected outcomes ....Secure Crowdsourcing Classification with Privacy Protection against Servers. This project aims to enable comprehensive quality data classification via secure crowdsourcing. The quality of a data-intensive process, such as a Machine Learning algorithm, depends on the input data quality. By using a crowdsourcing classification, the project expects to overcome the painstaking and costly process of humans correctly annotating extensive input data from diverse real information. The expected outcomes are innovative technologies, guaranteeing accuracy and confidentiality of annotation results whilst protecting the privacy of data classification results. It enhances data-intensive outputs quality, which will benefit large data-intensive applications, such as cybersecurity protections via intrusion detection.Read moreRead less