This research project aims to create innovative AI-driven teaching and learning approaches to enhnac students learning experience and their engagement.
The project will involve working with modern and emerging technologies including Large Language Models, multimodality, and modern learning techniques. The research will focus on designing and developing an interactive AI-driven educational assistant that provides dynamic teaching support to students. The project will involve research and development work with application to real-world scenarios and domains including computer software and financial education. The project may have flexible pathways which can be discussed with the supervisor.
School
Computer Science and Engineering
Research Area
Natural Language Processing (NLP) | Deep learning | Large language models | AI agents | Multimodality
- Research environment
- Expected outcomes
- Supervisory team
- Reference material/links
- Work closely with researchers in the field, regular meetings and collaboration with research groups
- Opportunity to conduct multidisciplinary research
- Report concisely summarize the research work (including related work, models, experiment & evaluation), source code, and documentation.
