Using generalisation to better treat poor spelling. Spelling is an important skill when expressing one's thoughts in writing and an acute challenge for at least ten per cent of Australian students, who can be years behind in their knowledge. This project will help to improve spelling training by establishing how to facilitate generalisation of spelling knowledge from a learned word to new words.
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
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
Discovery Early Career Researcher Award - Grant ID: DE150101053
Funder
Australian Research Council
Funding Amount
$364,536.00
Summary
Cracking the code of successful language learning. Mastery of a second language generates economic advantages, especially in English-speaking nations with large immigrant populations, such as Australia. It is not clear why some second-language learners flourish while others struggle in the same educational setting. Successful learners must possess attributes that when combined with the features of the learning situation result in positive learning outcomes, whereas unsuccessful learners are like ....Cracking the code of successful language learning. Mastery of a second language generates economic advantages, especially in English-speaking nations with large immigrant populations, such as Australia. It is not clear why some second-language learners flourish while others struggle in the same educational setting. Successful learners must possess attributes that when combined with the features of the learning situation result in positive learning outcomes, whereas unsuccessful learners are likely mismatched to their training method. In a series of artificial language learning experiments, this project aims to identify the combination of factors that matter most in successful language learning. Ultimately it may be possible to tailor training proactively to maximise learning outcomes.Read moreRead less