Dr Mouna Chetehouna
PhD, MEng , FHEA, MWES
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
Distributed wind energy for urban and rural requirements, integration and energy conversion Start: 27-03-2024 / End: 31-03-2025 A UK-India consortium led by QMUL, VIT Chennai, supported by IIT Madras and SME Deutsche WindGuard-India seeks to improve the design, integration and energy conversion and storage of small wind turbines through a tightly-integrated programme of education and research, following a combined investment of £95k by UKIERI and SPARC India. |