生成式人工智能与学生反馈素养：迪肯领导的学生奖学金项目

This PhD project investigates how student feedback literacy and feedback processes need to adapt in response to the increasing use of Generative AI (GenAI) in education. Utilizing a mixed-methods exploratory approach, the research aims to analyze student engagement with GenAI, focusing on tool usage, feedback practices, and their impact on learning outcomes.

Introduction: This PhD project is part of the Cotutelle arrangement between Coventry University, UK and Deakin University, Melbourne, Australia. The supervision team will be drawn from the two universities. This studentship will start at Deakin University, Melbourne, Australia. Please note this project will be starting at Deakin University Whilst the motivations and behaviours that inform student GenAI use are evolving rapidly, institutional knowledge of the nature and role of these in the feedback processes is not. We have little understanding of the ‘when’, ‘why’, and ‘how’ of student engagement with GenAI to mediate learning, from tool choice, to prompt generation, to response interpretation and application, and then what relationship these behaviours have on engagement and success. We understand little of the nature of these behaviours across differently performing students, disciplines, contexts or time. This study therefore asks how student feedback literacy and feedback processes need to evolve in a context of widespread GenAI use. Project details: The title is given, and research questions and methodological approaches are broadly indicated. We expect applicants to refine these. Research question: How does student feedback literacy and feedback processes need to evolve in a context of widespread GenAI use? Indicative sub-questions include: When and in what circumstances do students use GenAI for feedback purposes? Both when prompted by staff or the course design and when not; What influences lead students to use GenAI for feedback purposes, and what specific practices do students engage in?; What kinds of learning does this lead students to/ what does it lead them away from? It is anticipated that a mixed-methods, exploratory approach to design will be adopted, combining, for example only, semi-structured interviews, and digital footprints/artefacts (e.g. evidence of tool choice/usage, including samples of GenAI-generated feedback exchanges), samples of learner-instructor (human-human) feedback exchanges, curricular documentation and institutional data on student background and outcomes. University students based in Deakin University and/or Coventry University will be purposefully sampled, according to, for example, discipline, level of study, and background. Note that two doctoral projects will be undertaken to address to this thesis title, one based at Coventry University and one based at Deakin University. Adverts are separate.

Candidate specification: Applicants must meet the admission and scholarship criteria for both Coventry University and Deakin University and an application will need to be made at both Universities for entry to the cotutelle programme. Applicants should have graduated within the top 15% of their undergraduate cohort. This might include a high 2:1 in a relevant discipline/subject area with a minimum 70% mark (80% for Australian graduates) in the project element or equivalent with a minimum 70% overall module average (80% for Australian graduates). A Bachelor's degree in a relevant field requiring at least four years of full-time study, and which normally includes a research component which is equivalent to at least 25% of a year’s full-time study in the fourth year, with achievement of a grade for the project equivalent to a H1 standard or 80%. OR a Masters degree, with a significant research component, in a relevant subject area, with overall mark at minimum Distinction. In addition, the mark for the Masters thesis (or equivalent) must be a minimum of 80%. Please note that where a candidate has 70-79% and can provide evidence of research experience to meet equivalency to the minimum first-class honours equivalent (80%+) additional evidence can be submitted and may include independently peer-reviewed publications, research-related awards or prizes and/or professional reports. Language proficiency (IELTS overall minimum score of 7.0 with a minimum of 6.5 in each component). The potential to engage in innovative research and to complete the PhD within a prescribed period of study.

资助方式： 学费与奖学金 优势： 成功候选人将接受全面的研究训练，包括技术、个人及职业技能方面的培训。考文垂大学的所有研究人员（从博士到教授）均属于博士与研究学院成员，该学院提供高质量的培训与职业发展支持。 这是一个令人兴奋的机会，可作为联合培养项目的一部分，在考文垂大学与澳大利亚墨尔本迪肯大学之间攻读博士研究生。该博士研究生将获得两篇博士学位证书，一份来自迪肯大学，另一份来自考文垂大学，每篇证书均认可该课程是作为联合指导的博士项目的一部分完成的。

申请方式： 如需了解该项目详情，请联系 [会员信息] 博士 - （迪肯大学教学主任） 西恩·阿尔索普博士（考文垂大学教学主任） 所有申请者必须提供完整的辅助文件、推荐信，以及一篇长度为2000字的辅助陈述，以说明申请者的专业知识与兴趣与该项目有何关联。 申请考文垂大学 申请流程：