معرفی
Steve Li is a Research Fellow in the Department of Human Centred Computing at Monash University’s Faculty of Information Technology. His work bridges artificial intelligence, learning analytics, and human-computer interaction to support educational practices through data-driven tools.
His research focuses on learning analytics, AI in education, and human-centred computing, with specific interests in automated assessment, affective state modeling, knowledge management for educators, and multimodal data storytelling. He explores how machine learning can support human grading, how politeness affects online tutoring, and how data comics can preserve indigenous languages through engaging narratives.
The trends in his recent publications (2021–2025) reveal a strong focus on self-regulated learning, collaborative knowledge building, and ethical AI integration in education. His work frequently appears in top venues like Computers and Education, ACM DIS, and LAK, emphasizing interdisciplinary collaboration with experts such as Gašević, Chen, and Swiecki.
Scientific Awards:
- No awards explicitly mentioned in the text.
Advising and Grants: While no formal advisees or grant details are listed, his consistent co-authorship in high-impact projects suggests active participation in funded research initiatives and mentorship within collaborative teams.
Labs and Teams: Steve Li is likely part of a broader learning analytics and educational technology research group at Monash University, collaborating closely with leading figures in the field to develop tools that enhance teaching, learning, and knowledge sharing through innovative computing solutions.
