WeChat as a Platform for Problem-Based Learning Among Hematological Postgraduates: Feasibility and Acceptability Study

Author:

Luo PingORCID,Pang WenwenORCID,Wang YingyingORCID,Liu MinghuiORCID,Zhou ShuORCID,Liu ShuaiORCID,Zhang XianORCID,Liu LiORCID,Liu YananORCID,Zhou FulingORCID

Abstract

Background Hematological medicine is a practical discipline that is difficult to study. Problem-based learning (PBL) is an innovative student-centered teaching method wherein students define their own learning objectives from clinically based problems. Considering that WeChat is the most popular communication app in China, we selected it as a new platform for online PBL to reduce the limitations of traditional PBL in hematology teaching. Objective This study aims to explore a new pedagogical method called WeChat-PBL, which is based on real micro clinical cases for postgraduates majoring in hematology and to demonstrate its feasibility and acceptability. Methods A total of 48 hematological postgraduates and 7 tutors participated in this study. We divided the participants into 7 groups where students can learn theoretical knowledge. After each course, the members of each group were required to complete in-class quizzes. Moreover, the students and tutors were required to fill out periodic (after each class) and overall (after each semester) evaluations. Results A total of 8 micro clinical cases were presented in WeChat-PBL. The average quiz score for acute myelogenous leukemia, chronic myeloid leukemia, multiple myeloma, acute promyelocytic leukemia, and lymphoma were 89.0%, 86.0%, 83.4%, 88.8%, and 77.5%, respectively. Periodic evaluations showed that both students and tutors were satisfied with the process of WeChat-PBL. The overall evaluation results showed that WeChat-PBL was able to positively impact the learning experiences of hematological postgraduates. Conclusions Our results indicate the feasibility and acceptability of the WeChat-PBL teaching method for postgraduates majoring in hematology.

Publisher

JMIR Publications Inc.

Subject

Health Informatics

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3