Modelling complex learning spaces. The growing use of digital tools and resources means that students' learning activities are no longer tied to unique physical places. Their work is distributed across increasingly complex mixtures of physical and digital spaces, which both shape and are shaped by students' activity. This project aims to identify productive ways of modelling the characteristics and uses of complex learning spaces in higher education. Evidence and models generated by the project ....Modelling complex learning spaces. The growing use of digital tools and resources means that students' learning activities are no longer tied to unique physical places. Their work is distributed across increasingly complex mixtures of physical and digital spaces, which both shape and are shaped by students' activity. This project aims to identify productive ways of modelling the characteristics and uses of complex learning spaces in higher education. Evidence and models generated by the project aim to strengthen the logic connecting the use, management and design of learning spaces. A better understanding of the relations between pedagogy, activity and space will improve the work of architects and other designers, campus managers, university teachers and students themselves.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
New play pedagogies for teaching and learning in the early years. Traditional play-based learning in early childhood education cannot account for new play: very young children's everyday play with technologies, digital media and popular culture. This project uses a recently developed web-mapping tool to create a pedagogical approach to new play. The pedagogical approach to new play comprises teaching practices and learning outcomes that capitalise on the educational potential of children's every ....New play pedagogies for teaching and learning in the early years. Traditional play-based learning in early childhood education cannot account for new play: very young children's everyday play with technologies, digital media and popular culture. This project uses a recently developed web-mapping tool to create a pedagogical approach to new play. The pedagogical approach to new play comprises teaching practices and learning outcomes that capitalise on the educational potential of children's everyday play with technologies, digital media and popular culture. It aims to enable teachers to work from a theorised and empirically validated perspective for connecting young children's everyday play with technologies, digital media and popular culture artefacts to their 21st century learning needs.Read moreRead less
Using mathematics to solve real world problems. This project aims to identify, apply and refine teaching approaches that help secondary students learn mathematical modelling, using mathematics to solve real world problems. The study will investigate the mathematical, cognitive, social and environmental factors that "enable" Year 10/11 students to develop mathematical representations of a real world problem. This project expects to generate theoretical and practical insights into how these enable ....Using mathematics to solve real world problems. This project aims to identify, apply and refine teaching approaches that help secondary students learn mathematical modelling, using mathematics to solve real world problems. The study will investigate the mathematical, cognitive, social and environmental factors that "enable" Year 10/11 students to develop mathematical representations of a real world problem. This project expects to generate theoretical and practical insights into how these enablers promote successful modelling, tasks that support students' development as modellers, and effective teaching approaches that promote student capability and interest in mathematics.Read moreRead less
Enhancing the quality of science learning through a representation-intensive pedagogy. This project will investigate the quality of science learning occurring through an approach to teaching that involves students generating, negotiating and evaluating representations of scientific concepts. Students will generate multi-modal representations using digital technologies, linking to the new Australian science curriculum.