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
Vocal resonances in speech: rapid, precise measurements of how tract resonances vary with time, with applications to speech and language training. This project will track dynamically with significant precision the resonances of the vocal tract which produce much of the phonetic information in speech and important features of accent. The information and technology developed will be useful for speech science, benefiting speech synthesis, speech training and language acquisition.
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