Development of a Web-mobile Platform for Undergraduate Programme in Obstetrics and Gynaecology
Principal Supervisors

Professor LEUNG Tak Yeung
(Department of Obstetrics and Gynaecology)

Duration

1 year 6 months

Approved Budget

HK $100,000.00

 
  • Abstract

Abstract

Studying medicine requires interactive stimulation, clinical skill acquisition, record of experience, regular exercises and revision. Hence, we propose a new multi-function web-mobile app that can be managed on a hand-held device, so that learning is enhanced and facilitated at any time and place. The app also facilitates exchanges of learning and teaching experience between medical schools in the world. In the era of COVID-19 and risk of other viral outbreak, such e-platform is crucial for the sustainability of high quality learning.

The platform consists of four major components:

A. E-book Learning

  • Different from usual e-books, our platform allows students to highlight and jot notes to facilitate personalized learning. Furthermore, content, hyperlinks, images and videos can be frequently updatable when compared to usual e-books.

B. Exercises and assessment

  • Interactive clinical quizzes of various formats and difficult levels are incorporated to the e-book for self-learning and revision. We also aim at building a huge database of quizzes with contribution from various medical schools globally. Statistical analysis on individual performance, comparison between classes and medical schools are feasible.

C. Logbook

  • Logging of medical students’ experience is an essential but tedious procedure for both students and teachers. We streamline logging by utilizing GPS and QR scanner function to record students’ attendance with location and time, as well as to enable tutors counter-signing electronically after their completion of task. Their learning progress (in term of logged experience) can also be analyzed and provide feedback to the students and their tutors.

D. Course management system

  • The platform is designated for teachers and administrators to obtain detailed insights on the learning progress and academic performance of their students by data analysis. It enhances early identification of and assistance to weak students.