Shuchen Guo
Papers
1
Total Citations
82
H-Index
1
About
Shuchen Guo is a leading researcher at the intersection of artificial intelligence and education, with a primary focus on bibliometric analysis and the evolving landscape of AI in learning environments. Her most cited work, "Artificial intelligence in education research during 2013–2023: A review based on bibliometric analysis" (2024, 82 citations), provides a comprehensive, decade-spanning synthesis of how AI technologies—from adaptive learning systems to natural language processing—have reshaped educational research and practice. This landmark review not only maps the field’s intellectual structure but also identifies emerging trends, serving as a critical resource for scholars and policymakers. Guo’s contributions are distinguished by their methodological rigor, offering data-driven insights that bridge computational techniques with pedagogical theory. Her work has been instrumental in highlighting the transformative potential of AI for personalized learning, assessment, and educational equity. With a growing citation impact, Guo is recognized for advancing evidence-based frameworks that guide future research and implementation. Her scholarship continues to influence how educators and technologists harness AI to enhance teaching and learning outcomes globally.
Research Focus
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Top Papers
- 1