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
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
Tracking towards a complete model of skilled reading comprehension. This project aims to promote the development of the first complete computational model of reading comprehension. Many computational models of sub-components of reading have been developed, but none fully explain the complex co-ordination of perceptual, attentional and cognitive processes required for successful comprehension. The project intends to use eye tracking studies to test and refine Über-Reader, a new computational mode ....Tracking towards a complete model of skilled reading comprehension. This project aims to promote the development of the first complete computational model of reading comprehension. Many computational models of sub-components of reading have been developed, but none fully explain the complex co-ordination of perceptual, attentional and cognitive processes required for successful comprehension. The project intends to use eye tracking studies to test and refine Über-Reader, a new computational model that aims to provide a complete account of the memory systems and cognitive processes involved in reading comprehension and how they differ with reading skill. The outcomes will advance understanding of the causes of success and failure in reading and contribute to diagnosing and remediating reading difficulties.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
A best practice framework for playgroups-in-schools. This project aims to identify the processes, practices and/or policies informing productive relationships between families and school-staff. Playgroups-in-schools are a burgeoning field of integrated early childhood service provision. Research shows that playgroup participation benefits parental capabilities about children’s play. High levels of parental knowledge, skills and confidence in providing children with play-experience are known to h ....A best practice framework for playgroups-in-schools. This project aims to identify the processes, practices and/or policies informing productive relationships between families and school-staff. Playgroups-in-schools are a burgeoning field of integrated early childhood service provision. Research shows that playgroup participation benefits parental capabilities about children’s play. High levels of parental knowledge, skills and confidence in providing children with play-experience are known to have a positive development and learning impact for children. An expected outcome from this project will be a best practice framework for playgroups-in-schools, which should directly inform policy and practice in schools via Playgroup Victoria's increased capacity to advise school-leaders on playgroups-in-schools.Read moreRead less