Dr Xinru Deng
MEng, PhD
Research Funding
On this page:
Current Funded Research Projects
EduMark AI: AI-Driven Grading and Personalised Student Feedback to Save Educator TimeFunding source: QMUL President and Principal's Fund for Educational ExcellenceStart: 01-08-2024 / End: 31-08-2025 This project addresses the pressing need for efficiency and consistency in grading and feedback processes at Queen Mary University of London (QMUL), aligning with QMUL's Strategy 2030 for digital transformation and educational excellence. EduMark AI seeks to integrate artificial intelligence to streamline grading tasks and enhance the quality of feedback for students, aiming to reduce assessment time by 50%. Through collaboration with key QMUL stakeholders, the project will evaluate three AI systems (e.g., ChatGPT, Google AI Gemini, and Graide) on their effectiveness in grading and feedback quality. The project will assess AI's impact on educator workload and student satisfaction by conducting a controlled comparison with traditional grading methods. This initiative contributes to the broader QMUL goal of adaptive, personalised education. It aims to establish best practices for scalable AI integration across disciplines, benefiting faculty, students, and QMUL's academic community. |
Previous Funded Research Projects
Embedding Cultural References to Catalyse the Transition to Active Learning in Transnational EducationFunding source: Westfield FundStart: 12-10-2022 / End: 31-12-2023 Many students in our transnational programmes, but also international students in our home programmes, experience difficulties adapting to active learning approaches, resulting in lower engagement and lower academic performance. Cultural differences derived from more traditional education systems play a major role in these difficulties. This project proposes co-creating with students the embedding of cultural references to ease the transition from traditional lecturing to flipped classroom. |