Siyu Xiang
Papers
1
Total Citations
45
H-Index
1
About
Siyu Xiang is a prominent researcher in the field of educational technology and collaborative learning, with a specific focus on the integration of artificial intelligence in education. Their work critically examines how group dynamics and instructional design influence student outcomes in technology-enhanced learning environments. Xiang’s most-cited study, with 45 citations, investigates the effect of group size on students’ learning achievement, motivation, cognitive load, collaborative problem-solving quality, and in-class interaction in an introductory AI course. This research provides essential insights for educators designing collaborative tasks, addressing a long-standing debate on optimal group composition. By demonstrating how group size impacts both cognitive and affective learning outcomes, Xiang’s contributions help bridge the gap between theoretical frameworks of collaborative learning and practical classroom implementation. Their work is particularly valuable for researchers and practitioners seeking to optimize group-based learning in STEM and AI education, highlighting the nuanced interplay between social dynamics and individual learning processes.
Research Focus
Key Achievements
Top Papers
- 1