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Featured bySwansea University
Overview
Scholarship type
Merit based
Number of scholarships to award
Multiple
Grant
Full tuition waiver + £19,237
Scholarship coverage
- tuition fee reduction
- other
Description
The Comparative Judgment (CJ) method, which has gained traction in UK schools over the past decade, involves assessors choosing the superior submission from a pair, rather than assigning a score to each one. This approach is less taxing for assessors and maintains accuracy for a small number of submissions.
In this related project, for the first time, they will aim to scale BCJ to handle thousands of items (as opposed to tens of them), enabling ranking and scoring across schools and assignments. They will propose new methods to dynamically incorporate new items for ranking in BCJ in an interaction-efficient manner, and devise avenues for providing individual learners insight into their progress over time compared to their peers. They will evaluate these methods to establish their efficacy in helping assessors make informed decisions under uncertainty arising from the practical paucity of data and interactions, as well as better informing learners. These methods will be designed in collaboration with assessors and learners to ensure that they remain relevant and useful beyond the project completion.
Applicable programmes
Benefits
This scholarship covers the full cost of tuition fees and an annual stipend at £19,237.
Additional research expenses will also be available.
Eligibility
- Candidates must hold an Upper Second Class (2.1) honours degree or an appropriate master’s degree with a minimum overall grade at ‘Merit’ in Computer Science, Mathematics or a closely related discipline.
- If you are eligible to apply for the scholarship (i.e. a student who is eligible to pay the UK rate of tuition fees) but do not hold a UK degree, you can check their comparison entry requirements.
- Please note that you may need to provide evidence of your English Language proficiency.
- IELTS 6.5 Overall (with no individual component below 6.0) or Swansea University recognised equivalent.
- This scholarship is open to candidates of any nationality.
Desirable skills and attributes:
- Excellent numerical and progamming skills;
- Knowledge of Python.;
- Knowledge of Bayesian statistics, machine learning, and optimisation, or a willingness to learn.
Scholarship requirements
Disciplines
Computer Sciences
Locations
United Kingdom
Nationality
Any
Study experience required
Master
Age
Unknown
Application
Application deadline
01 May 2024
To apply, please complete your application online with the following information:
Course choice – please select Computer Science / PhD / Full-time / 3 Year / October
Start year – please select 2024
Funding (page 8) –
‘Are you funding your studies yourself?’ – please select No
‘Name of Individual or organisation providing funds for study’ – please enter ‘RS590 - Elevating Comparative Judgement’
*It is the responsibility of the applicant to list the above information accurately when applying, please note that applications received without the above information listed will not be considered for the scholarship award.
One application is required per individual Swansea University led research scholarship award; applications cannot be considered listing multiple Swansea University led research scholarship awards.