Xieling Chen

Papers

Total Citations

132

H-Index

About

Xieling Chen is a leading researcher at the intersection of artificial intelligence and education, with a primary focus on understanding the evolution, collaboration patterns, and emerging challenges of AI in educational contexts. Her most impactful work, "Two Decades of Artificial Intelligence in Education: Contributors, Collaborations, Research Topics, Challenges, and Future Directions" (2022, 132 citations), provides a comprehensive, large-scale review of 4,519 publications spanning 2000 to 2020. This landmark study maps the field’s growth, identifies key contributors and collaborative networks, and outlines critical research topics and future directions, serving as an essential resource for scholars and practitioners. Chen’s contributions are notable for their systematic approach to synthesizing vast literature, revealing trends and gaps that guide subsequent research. Her work has been widely cited, reflecting its influence in shaping the discourse on AI’s role in education. By offering a clear roadmap of the field’s past and future, Chen has established herself as a pivotal voice in educational technology, helping to navigate the complexities of integrating AI into learning environments.