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
Learning how people read: Models, brains, big data and maths. Aims: This project aims to understand how people read. We will use novel mathematical methods, experimentation, brain imaging and computational modelling to adjudicate between model predictions.
Significance: This project expects to develop methods to understand and test important aspects of reading.
Expected outcomes: Expected outcomes are the development of novel methods for understanding complex models and the collection of data t ....Learning how people read: Models, brains, big data and maths. Aims: This project aims to understand how people read. We will use novel mathematical methods, experimentation, brain imaging and computational modelling to adjudicate between model predictions.
Significance: This project expects to develop methods to understand and test important aspects of reading.
Expected outcomes: Expected outcomes are the development of novel methods for understanding complex models and the collection of data that can extend and falsify current models of reading.
Benefits: These developments will significantly increase our understanding of how people read and what causes dyslexia. This work will also provide new ways to evaluate complex computational psychological models.Read moreRead less
Sound discrimination in embryos affects lifetime fitness. This project aims to investigate the role of prenatal sound discrimination on postnatal vocal learning and foraging breadth. The project expects to generate new knowledge in the area of neuroscience and psychology using an innovative approach to measure how embryos learn, and determine effects of prenatal vocal experience on the repertoire of postnatal behaviour. Expected outcomes include understanding biological mechanisms for effective ....Sound discrimination in embryos affects lifetime fitness. This project aims to investigate the role of prenatal sound discrimination on postnatal vocal learning and foraging breadth. The project expects to generate new knowledge in the area of neuroscience and psychology using an innovative approach to measure how embryos learn, and determine effects of prenatal vocal experience on the repertoire of postnatal behaviour. Expected outcomes include understanding biological mechanisms for effective learning across life stages that would be useful to develop novel approaches for non-invasive monitoring of embryonic cognition.Read moreRead less