Solving the inert knowledge problem. A central goal of education is for students to transfer what they learn to new contexts or problems. Indeed, expert reasoning is often characterised by seeing the deep structural commonalities across seemingly disparate situations. However, the knowledge students acquire is notoriously inert, tied to the specifics of the learning examples. This project aims to move towards solving 'the inert knowledge problem' by investigating how humans learn concepts define ....Solving the inert knowledge problem. A central goal of education is for students to transfer what they learn to new contexts or problems. Indeed, expert reasoning is often characterised by seeing the deep structural commonalities across seemingly disparate situations. However, the knowledge students acquire is notoriously inert, tied to the specifics of the learning examples. This project aims to move towards solving 'the inert knowledge problem' by investigating how humans learn concepts defined by abstract relational structure, and by designing educational applications that enhance the use of relational learning mechanisms in students with a wide range of cognitive abilities.Read moreRead less
Transforming primary teachers' representational practices: effects on students' scientific reasoning and discourse within contemporary sciences. Training teachers to appropriately represent and communicate scientific information is critically important for promoting scientific thinking and learning in students. This research is critical to securing Australia's future interests in developing new and emerging frontier science and technologies through the engagement and retention of students.
Australian Laureate Fellowships - Grant ID: FL100100203
Funder
Australian Research Council
Funding Amount
$2,744,127.00
Summary
Learning, technology and design: architectures for productive networked learning. Learning how to tackle new challenges is more important today than ever before, yet learning is also becoming much more complicated. This project will investigate better ways of supporting people in learning what they need to learn. It will provide ways of analysing and improving the increasingly complex systems in which learning takes place, especially those where computer technology plays a strong role. This proj ....Learning, technology and design: architectures for productive networked learning. Learning how to tackle new challenges is more important today than ever before, yet learning is also becoming much more complicated. This project will investigate better ways of supporting people in learning what they need to learn. It will provide ways of analysing and improving the increasingly complex systems in which learning takes place, especially those where computer technology plays a strong role. This project will focus on networked learning - where people learn through collaboration that is wholly or partially online. It will explain how better tools and resources for networked learning can be designed, and how everyone can play a significant role in improving how, where and what they learn.Read moreRead less
Multiliteracy testing: a criterion-referenced tool to assess secondary students’ multiliteracy learning within a technology-rich, multimodal domain. Evidence shows that while multimodal learning in schools is occurring, a valid measurement and diagnostic tool to provide reliable scores and accurate diagnostic information does not exist. This project aims to develop a criterion-referenced tool to measure students' multiliteracy learning within technology-rich, multimodal domains.
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
Agent-based virtual learning environments for understanding science. It is vital that students understand science given its relevance in important economic and professional areas as well as for an informed democratic citizenry. This project aims to conduct classroom-based research in which students learn content in the Australian Curriculum - Science through the use of an innovative agent-based virtual learning environment that supports authentic science inquiry activities to enhance learning o ....Agent-based virtual learning environments for understanding science. It is vital that students understand science given its relevance in important economic and professional areas as well as for an informed democratic citizenry. This project aims to conduct classroom-based research in which students learn content in the Australian Curriculum - Science through the use of an innovative agent-based virtual learning environment that supports authentic science inquiry activities to enhance learning of difficult scientific knowledge and skills. The project also aims to develop teacher professional development materials for teachers to enhance teacher capacity to use innovative pedagogies and learning technologies in Australian schools.Read moreRead less
Improving numeracy outcomes for young Indigenous children through the Patterns and Early Algebra Preschool (PEAP) professional development program. The study aims to improve mathematics outcomes for young Indigenous children and advance the pedagogical content knowledge of early childhood educators and working towards closing the gap in numeracy achievements for Indigenous children. The study will add to the research literature on early algebraic thinking and mathematical reasoning.