06-Mar-2025
12:30pm- 2:00pm

Seminar Room 3, G/F, Laboratory Block, 21 Sassoon Road & Zoom

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 the following speakers:

Integrate Concepts of Biomedical Sciences through Digital Storytelling – From Basic Science to Clinical Relevance
Dr. Joanna Ho, School of Biomedical Sciences

Technology-enhanced learning has become integral to both E-learning and traditional teaching methods. Digital storytelling, utilizing multimedia tools to narrate stories, is a compelling strategy to incorporate into educational practices. A survey of medical students revealed a strong preference for learning through real-life and clinical scenarios. Educators are sourcing resources globally and locally to integrate contextualized teaching materials into our curriculum. Currently, these scenarios exist in paper format and are often disjointed within individual lecture topics. The project aims to transform these scenarios into integrated digital storytelling formats. This approach is expected to help students connect basic science concepts with real-world clinical situations and encourage collaboration among teachers in story development and will seek student feedback to ensure the effectiveness and quality of the final products.

Teaching Data Science Skills in Biomedical Sciences and Medical Curricula
Prof. Joshua Ho, School of Biomedical Sciences

Data science skills, including data acquisition, management, analysis, visualization, and interpretation, are increasingly vital across disciplines. In medical education, there is a growing consensus on integrating topics like artificial intelligence and digital health into the curriculum. However, there is little agreement on the specifics of what data science skills should be taught or how. Current undergraduate programs vary significantly in the topics covered, and effective methods for teaching quantitative skills, such as statistical analysis and programming, remain unclear. This project aims to define the core data science skills needed for HKU’s biomedical science (BBMS) and medical (MBBS) curricula by conducting a quantitative survey of healthcare professionals, industry practitioners, and academic researchers. Additionally, the investigators have developed new e-learning materials using a problem-based learning approach that includes collaborative group activities.

Effectiveness of Inquiry-Based Learning in a Simulation Environment to Enhance Advanced Pharmacology in Emergency Critical Care Patient
Dr. Cecilia Kong, School of Nursing

This project aims to examine the process and effectiveness of enhancing nursing student learning in pharmacology in emergency critical care patient management through inquiry-based learning (IBL) in a thinking simulation environment (TSE). The learning outcomes are as follows: i) To consolidate existing knowledge in advanced pharmacokinetic principles; ii) To deepen understanding of how to apply advanced pharmacokinetic principles in emergency critical care and patient management, and iii) To develop ability to self-construct new knowledge. The findings will be used to: a) inform continuous revisions to the nursing curriculum; and b) inform further research to advance pedagogies to promote learning of health professionals.

Dr. Joanna Ho
School of Biomedical Sciences

Prof. Joshua Ho
School of Biomedical Sciences

Dr. Cecilia Kong
School of Nursing

 

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