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
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
Fostering school attendance for students in Out-of-Home Care. This project aims to investigate why children and young people in Out-Of-Home-Care in Australia are absent from school far more than their peers. The project expects to generate new knowledge about the reasons for their absences and to develop solutions to improve attendance through: children’s own voices; detailed absence data; policy audit; and case studies of promising practice. Expected outcomes include a comprehensive conceptuali ....Fostering school attendance for students in Out-of-Home Care. This project aims to investigate why children and young people in Out-Of-Home-Care in Australia are absent from school far more than their peers. The project expects to generate new knowledge about the reasons for their absences and to develop solutions to improve attendance through: children’s own voices; detailed absence data; policy audit; and case studies of promising practice. Expected outcomes include a comprehensive conceptualisation of absences including those triggered by schools or the care context; and an evidence-informed, child-centred framework to enable attendance and, thereby, improved educational outcomes. This should provide significant social and economic benefits both for children in care and for the community. Read moreRead less