Seminar overview:
This seminar aims to help Faculty colleagues who are planning a TDG project or who are just interested in medical education research. It will help provide insight into the design and thinking behind successful HKUMed TDG projects through the sharing by Dr Julie Chen and Ms Cecilia Sit who have recently completed their TDG projects.
TDG projects:
The Impact of a Student-driven Near-peer Teaching Initiative for Medical Students: an Exploratory Study
Dr Julie Chen
Student-led academic support in which senior students offer tutorials, bedside teaching or examination preparation to their junior peers is a longstanding practice in medical education that has been offered on an ad-hoc basis. Building on earlier work that engaged students as teachers in formal curricular activities, this project explores the impact and experience of a wholly student-led near-peer teaching (NPT) initiative. MBBS Year 5 peer teachers (PT) will systematically develop and deliver tutorial sessions and undergo training in fundamental teaching skills to provide academic support for peer learners (PL) in Year 2. The NPT will add value and extend concepts learned, with deliberate care taken not to replace or to undermine the formal curriculum. A mixed-method quantitative-qualitative study will examine the impact of the initiative on both peer learners (PL) and peer teachers (PT). Structured questionnaire surveys will assess PL and PT self- efficacy and attitudes towards near-peer teaching. In-depth semi-structured focus group interviews will capture the lived experiences of the PLs as participants and the PTs as teachers of medicine and as learners of teaching practices. This will enable us to better understand the potential scope for student engagement in teaching and learning as we examine the possibilities for students-as-partners in medical education.
Use of Conversation-oriented Chatbot via Semi-humanoid Robot in Enhancing Competence in Performing Clinical Assessment Interview for Clients in Nursing Undergraduate
Ms Cecilia Sit
Chatbot is a communication stimulating computer programme which is used to mimic human conversation. This project incorporates the conversation-oriented chatbot technology into a semi-humanoid robot to provide unlimited opportunities in practicing conversation with digital clients in the nonclinical area. With the application of Clinical Judgement Model and retrieval-based learning strategy, students are able to build a scaffold for long-term knowledge before they apply them in a real clinical environment, it also allows flexible learning progress outside of the classroom. Furthermore, the permanent expandable database provides significant engagement with students in affective, cognitive and behavioral aspects.
The project aims to develop a conversation oriented chatbot for the semi-humanoid robot to act as a digital client.
The specific objectives are
i. To strengthen students’ clinical judgement by noticing, interpreting and responding to digital client’s complaint; and reflecting on the decision and action.
ii. To enhance the systematic approach in collecting subjective client feeling during an assessment interview.
iii. To enhance thoughtful questioning skills and effective communication in the absence of direct client contact.
iv. To understand the efficacy of learning by the use of semi-humanoid robot and chatbot.
Dr Julie Chen, BIMHSE & Dept of Family Med & Primary Care, HKU
Ms Cecilia Sit, School of Nursing, HKU
Moderator:
Dr Binbin Zheng, BIMHSE, HKU