Kejia Zhang

Biography

Background

I am a PhD student at Edinburgh Parallel Computing Centre (EPCC), University of Edinburgh, where I began my studies in Jan 2025. My research focuses on leveraging generative AI to develop Intelligent Tutoring Systems. Before pursuing my PhD, I completed a BSc in Computer Science at the University of Bristol and an MSc in High-Performance Computing with Data Science at EPCC, University of Edinburgh.

Qualifications

Master of Science in High-Performance Computing with Data Science with Distinction

Bachelor of Science in Computer Science with First Class

Research summary

  • Generative Artificial Intelligence
  • Applied Artificial Intelligence
  • Multimodal Content Generation
  • Educational Technology
  • Educational Story

Current research interests

My current research focuses on leveraging generative artificial intelligence to develop intelligent tutoring systems, specifically for the automatic generation of contextualised educational stories to explain abstract mathematical problems. Currently, I am exploring a multi-agent framework based on large language models (LLMs) for story text generation and establishing evaluation criteria for mathematical storytelling. My work aims to enhance accuracy while addressing creativity limitations, with future directions including interactive (i.e. co-creation with children and teachers) and multimodal story generation (i.e. text with corresponding image) to improve engagement and personalisation.
This article was published on