Bingsheng Guan
Papers
1
Total Citations
23
H-Index
1
About
Bingsheng Guan is a nursing education researcher whose work centers on leveraging technology to enhance clinical training, particularly in history-taking—a foundational yet challenging skill for nursing students. In a landmark 2023 qualitative study using focus group interviews, Guan conducted a need assessment for integrating chatbot-based instruction into history-taking programs. This work, which has garnered 23 citations, identified critical gaps in traditional pedagogy and revealed that students themselves advocate for chatbot tools to practice patient interviews in a low-stakes, iterative environment. By pinpointing specific design requirements—such as conversational realism and feedback mechanisms—Guan’s research directly informs the development of AI-driven educational interventions that can scale personalized learning. This contribution stands out for its student-centered approach, bridging qualitative insights with emerging technology to address a persistent clinical competency gap. Guan’s work is pivotal for educators and instructional designers aiming to modernize nursing curricula, demonstrating how targeted needs analysis can transform abstract technological potential into practical, learner-approved solutions.
Research Focus
Key Achievements
Top Papers
- 1