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

BackgroundHematological 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...

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Main Authors: Luo, Ping, Pang, Wenwen, Wang, Yingying, Liu, Minghui, Zhou, Shu, Liu, Shuai, Zhang, Xian, Liu, Li, Liu, Yanan, Zhou, Fuling
Format: Article
Language:English
Published: JMIR Publications 2021-05-01
Series:Journal of Medical Internet Research
Online Access:https://www.jmir.org/2021/5/e16463
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spelling doaj-9e6468c0805f4177893c609528d886b62021-05-25T12:30:59ZengJMIR PublicationsJournal of Medical Internet Research1438-88712021-05-01235e1646310.2196/16463WeChat as a Platform for Problem-Based Learning Among Hematological Postgraduates: Feasibility and Acceptability StudyLuo, PingPang, WenwenWang, YingyingLiu, MinghuiZhou, ShuLiu, ShuaiZhang, XianLiu, LiLiu, YananZhou, Fuling BackgroundHematological 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. ObjectiveThis 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. MethodsA 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. ResultsA 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. ConclusionsOur results indicate the feasibility and acceptability of the WeChat-PBL teaching method for postgraduates majoring in hematology.https://www.jmir.org/2021/5/e16463
collection DOAJ
language English
format Article
sources DOAJ
author Luo, Ping
Pang, Wenwen
Wang, Yingying
Liu, Minghui
Zhou, Shu
Liu, Shuai
Zhang, Xian
Liu, Li
Liu, Yanan
Zhou, Fuling
spellingShingle Luo, Ping
Pang, Wenwen
Wang, Yingying
Liu, Minghui
Zhou, Shu
Liu, Shuai
Zhang, Xian
Liu, Li
Liu, Yanan
Zhou, Fuling
WeChat as a Platform for Problem-Based Learning Among Hematological Postgraduates: Feasibility and Acceptability Study
Journal of Medical Internet Research
author_facet Luo, Ping
Pang, Wenwen
Wang, Yingying
Liu, Minghui
Zhou, Shu
Liu, Shuai
Zhang, Xian
Liu, Li
Liu, Yanan
Zhou, Fuling
author_sort Luo, Ping
title WeChat as a Platform for Problem-Based Learning Among Hematological Postgraduates: Feasibility and Acceptability Study
title_short WeChat as a Platform for Problem-Based Learning Among Hematological Postgraduates: Feasibility and Acceptability Study
title_full WeChat as a Platform for Problem-Based Learning Among Hematological Postgraduates: Feasibility and Acceptability Study
title_fullStr WeChat as a Platform for Problem-Based Learning Among Hematological Postgraduates: Feasibility and Acceptability Study
title_full_unstemmed WeChat as a Platform for Problem-Based Learning Among Hematological Postgraduates: Feasibility and Acceptability Study
title_sort wechat as a platform for problem-based learning among hematological postgraduates: feasibility and acceptability study
publisher JMIR Publications
series Journal of Medical Internet Research
issn 1438-8871
publishDate 2021-05-01
description BackgroundHematological 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. ObjectiveThis 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. MethodsA 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. ResultsA 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. ConclusionsOur results indicate the feasibility and acceptability of the WeChat-PBL teaching method for postgraduates majoring in hematology.
url https://www.jmir.org/2021/5/e16463
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