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Accessibility statement
Award
Award
Duration
Duration
Start dates
Start dates
Application
Application
PhD or Professional doctorate
PhD or Professional doctorate
PhD:
Full-time: 3–4 years
Part-time: 6–8 years
Professional doctorate:
Part-time: 4–8 years
PhD:
Full-time: 3–4 years
Part-time: 6–8 years
Professional doctorate:
Part-time: 4–8 years
October
October
November to January
November to January
The rapid advances in digital technologies, including AI, affect how we live, learn, and manage our health. This dynamic, interdisciplinary research programme addresses critical challenges and examines the social, educational and ethical aspects of developing and implementing digital technologies for health and wellbeing. We employ theoretically diverse approaches and methods to critically examine the opportunities and challenges associated with designing and implementing technology to improve health outcomes, enhance healthcare delivery and support workforce development.
The programme further draws attention to how digital technologies influence individual or organisational practices, drive innovation, and shape new ways of working that improve services and deliver better health and wellbeing outcomes. Issues such as digital inequalities, digital harms, and access to health alongside consideration of ethical and social issues require investigation and are of central interest to the programme.
The programme brings together researchers and academics with expertise in investigating the relationships between education, EdTech and health and wellbeing. The five key research areas are:
Minimum 2:1 undergraduate degree (or equivalent) and an MA or research methods training at MA level (or equivalent). If you are not a UK citizen, you may need to prove your knowledge of English.
UK fee
UK fee
International fee
International fee
Full-time: £5,006 per year
Full-time: £5,006 per year
Full-time: £12,705 per year
Full-time: £12,705 per year
Part-time: £2,503 per year
Part-time: £2,503 per year
Part-time: £6,353 per year
Part-time: £6,353 per year
Some of our research students are funded via the Faculty or The Grand Union Doctoral Training Partnership and others are self-funded.
For detailed information about fees and funding, visit Fees and studentships.
To see current funded studentship vacancies across all research areas, see Current studentships.
An image to illustrate the AI, learning analytics and learning design research topic
Get in touch
If you have an enquiry specific to this research topic, please contact:
Dr Robert Farrow, PGR Convenor
Email: WELS-PGRs
Phone: +44 (0)1908 832671
Apply now
Please review the application process if you’re interested in applying for this research topic.
Level info