معرفی
Linxuan Zhao is a Research Fellow in the Department of Human Centred Computing at Monash University, actively contributing to learning analytics and educational technology research with 33 publications between 2022-2025. Zhao's work focuses on leveraging multimodal data and AI to enhance collaborative learning experiences across diverse educational contexts, particularly in healthcare simulations.
Research interests center on learning analytics dashboard design, generative AI applications in education, and physiological data analysis in collaborative settings. Key investigations include temporal dynamics of group learning, stress-performance relationships in simulations, and AI literacy's impact on learner interactions. Current work integrates latent class analysis for pattern discovery and explores physiological synchrony as a metric for collaborative effectiveness.
Recent publications (2025) reveal strong trends toward multimodal analytics and AI integration, with significant emphasis on healthcare education applications. A notable shift includes generative AI chatbots for scaffolding student reflection and advanced statistical methods for simplifying complex learning patterns. The research demonstrates consistent collaboration with leading figures in the learning analytics field.
Scientific awards include:
- Best full paper nomination (2024)
- Best full research paper award (2022)
No information is available regarding student advising or grant funding in the provided materials. Zhao's collaborative network shows strong ties with researchers specializing in educational technology and multimodal analytics, though specific lab affiliations are not documented.
