publications

Conference Papers

2026

Coming soon...

2025

LLM and Knowledge Graph Framework for Prerequisite Knowledge Concepts Identification in Foundational Mathematics
Accepted at SLAAI-2025 IEEE Conference (opens in a new tab)

Abstract: This research presents a novel framework integrating Large Language Models (LLMs) with Knowledge Graphs to identify prerequisite knowledge concepts in foundational mathematics education.

Status: Published IEEE Explore (https://ieeexplore.ieee.org/document/11318529 (opens in a new tab))

Conference: Sri Lanka Association for Artificial Intelligence (SLAAI) - 2025 IEEE Conference

Recognition: 🏆 Selected for the SLAAI Best AI Undergraduate Project Competition (Final Round)

Research Poster: Presented at the Sixth Annual Nepal AI School(ANAIS) (opens in a new tab), NAAMII, Nepal

Research Area: Educational Technology, Knowledge Graphs, Large Language Models

GitHub: https://github.com/mayura-andrew/MathPrereq (opens in a new tab)

Research Interests

• Educational Technology & AI: Applying artificial intelligence to enhance learning experiences
• Knowledge Representation: Knowledge graphs and semantic technologies
• Natural Language Processing: Large language models and their applications

Upcoming Work

🔬 Additional research papers in development focusing on AI applications in education and knowledge representation systems.

Last updated: October 2025