Xiao-Ge Guo
Papers
1
Total Citations
2
H-Index
1
About
Xiao-Ge Guo is an emerging scholar in the fields of educational technology, human-robot interaction, and self-regulated learning. Her research focuses on the integration of emotional supports within robot-based learning environments, aiming to enhance pre-service teachers’ digital competencies. In her most-cited work, "Emotional supports in robot-based self-regulated learning contexts to promote pre-service teachers’ digital learning resource development competences" (2024), Guo explores how affective scaffolding from social robots can foster deeper engagement and skill acquisition in teacher education. This study, with 2 citations, marks a foundational contribution to the growing intersection of artificial intelligence and pedagogy. Guo’s work is notable for its practical implications, offering a novel framework for designing emotionally intelligent educational robots. As a researcher, she is helping to shape how future educators leverage technology to create adaptive, learner-centered digital resources. Her early-career achievements signal a promising trajectory in advancing both theoretical understanding and applied solutions for technology-enhanced learning.
Research Focus
Key Achievements
Top Papers
- 1