Yuting Liu

Papers

1

Total Citations

13

H-Index

1

About

Yuting Liu is an emerging scholar whose research sits at the critical intersection of special education, educational technology, and artificial intelligence. Her work focuses on leveraging cutting-edge technologies to support students with disabilities (SWDs), addressing a historically underserved population in educational research. Liu's most notable contribution to date is her 2024 systematic literature review and meta-analysis examining AI-based interventions for students with disabilities — a rigorous synthesis of 29 quasi-experimental and experimental studies that fills a significant gap in the literature. Already accumulating 13 citations within its first year of publication, this work demonstrates both its timeliness and relevance to researchers and practitioners alike. By systematically analyzing how AI applications influence learning outcomes for SWDs, Liu provides educators and policymakers with an evidence-based foundation for implementing inclusive, technology-driven instructional strategies. Her scholarship reflects a deep commitment to equity in education, advocating for the thoughtful integration of artificial intelligence as a tool for expanding access and opportunity for learners with diverse needs. As AI continues reshaping classrooms globally, Liu's research positions her as an important voice in ensuring these advancements genuinely serve all students.

Research Focus

Key Achievements

1
H-Index
1
Papers
13
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Let’s CHAT About Artificial Intelligence for Students With Disabilities: A Systematic Literature Review and Meta-Analysis
13 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago