PhD: GenAI-Enhanced Student Feedback Literacy

Coventry

Coventry

Hybrid

GBP 19,000 - 23,000

Full time

11 days ago
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Job summary

Coventry University invites applications for a Gen AI and Student Feedback Literacy PhD Studentship, a cotutelle with Deakin University. The project explores how GenAI influences feedback literacy and engagement, with a cross-institution supervision team.

The PhD starts at Coventry University and runs for three to three and a half years full-time, with a strong emphasis on innovative research methods and interdisciplinary collaboration.

Qualifications

  • Applicants should be in the top 15% of their undergraduate cohort with a high 2:1 and a project element mark of 70% (80% for Australian graduates).
  • A four-year Bachelor’s degree with a research component equivalent to at least 25% of a year’s study, and a project mark of 80% (H1).
  • A Master’s degree with significant research component and overall Distinction, with the Master’s thesis mark at least 80%.
  • IELTS overall minimum score of 7.0 with at least 6.5 in each component.

Responsibilities

  • Investigation of how student feedback literacy and GenAI use affect engagement and outcomes.
  • Design and conduct a mixed-methods exploratory study, including semi-structured interviews and digital footprints.
  • Collaborate with supervisory teams at Coventry University and Deakin University to shape the research design and outputs.
  • Contribute to crafting refined research questions and methodological approaches based on theory and data.

Education

Bachelor's degree in a relevant field
Master's degree with significant research component

Job description

Coventry University invites applications for a Gen AI and Student Feedback Literacy PhD Studentship, a cotutelle with Deakin University. The project explores how GenAI influences feedback literacy and engagement, with a cross-institution supervision team.

The PhD starts at Coventry University and runs for three to three and a half years full-time, with a strong emphasis on innovative research methods and interdisciplinary collaboration.

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