Yanya Chen
Papers
1
Total Citations
23
H-Index
1
About
Yanya Chen is a nursing education researcher whose work focuses on leveraging technology to enhance clinical training, particularly in history-taking—a foundational yet challenging skill for nursing students. Her most-cited study, a 2023 qualitative investigation using focus group interviews, assessed the need for a chatbot-based history-taking instruction program. This work identified critical gaps in traditional pedagogy and demonstrated students’ openness to AI-driven learning tools, earning 23 citations and establishing her as a voice in technology-integrated nursing education. Chen’s research bridges qualitative insights with practical innovation, advocating for interactive, student-centered solutions that address real-world clinical competencies. Her contributions highlight the potential of chatbots to provide scalable, low-stakes practice environments, reducing the anxiety and complexity novices face. By centering student perspectives, Chen’s work informs curriculum design and underscores the importance of user-driven technology adoption in healthcare training. Her findings are increasingly relevant as nursing programs seek to modernize instruction without sacrificing empathetic, patient-centered care. Chen’s scholarship continues to shape conversations around digital pedagogy in nursing, offering a roadmap for integrating conversational agents into clinical education.
Research Focus
Key Achievements
Top Papers
- 1