Bojan Lazarevski
Papers
1
Total Citations
2
H-Index
1
About
Bojan Lazarevski is an emerging researcher at the intersection of artificial intelligence and education, with a primary focus on harnessing large language models (LLMs) to model and predict learner performance. His most-cited work, "Towards Modeling Learner Performance with Large Language Models" (2024), pioneers the application of pre-trained LLMs as general pattern machines capable of processing complex token sequences—extending beyond language to tasks like time-series prediction and robot control. By adapting these capabilities to educational contexts, Lazarevski explores how LLMs can infer student knowledge states and learning trajectories from interaction data, offering a novel, scalable approach to personalized learning analytics. Though early in his career, his work has already garnered attention (2 citations) for bridging cutting-edge AI with practical educational challenges. Lazarevski’s contributions stand out for their interdisciplinary ambition, positioning him at the forefront of a new wave of research that leverages foundation models to transform how we understand and support human learning. His work promises to reshape adaptive tutoring systems and educational data mining.
Research Focus
Key Achievements
Top Papers
- 1Towards Modeling Learner Performance with Large Language Models2 citations · 2024