This project focuses on the design, development, and evaluation of an agentic AI system to enhance teaching and learning in higher education. The system is intended to support both students and academics by providing intelligent academic advising, personalized learning support, and assistance with a range of teaching and learning activities. The project investigates the application of agentic AI principles, leveraging existing large language models, AI frameworks, and orchestration tools to develop an autonomous, context-aware learning assistant.
The research involves review of AI Agent solutions and frameworks, the design of the system architecture and agent workflows, the implementation of a functional prototype platform, and the experimental evaluation of the system's effectiveness, usability, and impact through a series of research-driven experiments and user studies.
More details will be discussed with the candidates who have knowledge, skills and/or experience in the required research areas.
School
Computer Science and Engineering
Research Area
Artificial intelligence | Natural language processing | Deep learning | AI agents | Software engineering | Web development | Human-computer interaction
Suitable for recognition of Work Integrated Learning (industrial training)?
Yes
- Research environment
- Expected outcomes
- Supervisory team
- Reference material/links
Interns will work closely with academic supervisors and research staff, with access to environment that support open research, regular technical discussions, and engagement with ongoing projects in modern AI frameworks and it's application. Interns will also gain hands-on experience in designing, implementing, and evaluating advanced AI systems.
- Working prototype of an agentic AI system
- Research report including review of existing work, method, evaluation of ppropsoed solution
- Source code and technical documentation
To be discussed with the selected intern.