Project details
Numbers and space are tightly linked in the human mind. For example, the SNARC effect (Spatial-Numerical Association of Response Codes effect) describes the finding that small numbers are usually associated with the left whereas large numbers are associated with the right side of space. This SNARC effect is just one out of many so-called Spatial-Numerical Associations (SNAs) used to describe and evaluate bi-directional links between spatial and numerical processing.
Traditionally SNAs have been considered an important cornerstone for number processing and mathematics learning in humans. However, recent evidence suggests for example that less than 50% of participants actually reveal a reliable SNARC effect at an individual level. This not only questions the generality of the SNARC effect but also the role SNAs play in mathematics learning more broadly. Put more plainly: Can SNAs be a cornerstone of mathematics learning if only less than half of us reveal them?
This project will investigate the individual prevalence of different SNAs and further aims at answering the question of whether or not different SNAs actually reflect the same underlying mechanism.
Entry requirements
Our entry requirements are listed using standard UK undergraduate degree classifications i.e. first-class honours, upper second-class honours and lower second-class honours. To learn the equivalent for your country, please choose it from the drop-down below.
Entry requirements for United Kingdom
Applicants should have, or expect achieve at least a 2:1 Honours degree, or equivalent, in in psychology (or related field), interest in experimental cognitive psychology and statistics.
English language requirements
Applicants must meet the minimum English language requirements. Further details are available on the International website.
Fees and funding
Tuition fees cover the cost of your teaching, assessment and operating University facilities such as the library, IT equipment and other support services. University fees and charges can be paid in advance and there are several methods of payment, including online payments and payment by instalment. Fees are reviewed annually and are likely to increase to take into account inflationary pressures.
How to apply
All applications should be made online. Under programme name, select Mathematics Education. Please quote the advertised reference number: ME/KC-Un2/2024 in your application.
To avoid delays in processing your application, please ensure that you submit a CV and the minimum supporting documents.
The following selection criteria used by the academic School to help them make a decision on your application, will be the same as we use for funded studentships.
Please note, applications for this project are considered on an ongoing basis once submitted and the project may be withdrawn prior to the application deadline, if a suitable candidate is chosen for the project.