Evidence map›Paper›PMID 39501207›Full record

ArticleBMC medical education2024

Application of the online teaching model based on BOPPPS virtual simulation platform in preventive medicine undergraduate experiment.

Cai-Yun Chen, Xiu-Wen Shi, Shu-Ying Yin, Nai-Yuan Fan, Tian-Yuan Zhang, Xue-Ning Zhang, Chang-Ting Yin, Wei Mi

Abstract read
In one paragraph

Article in BMC medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Cai-Yun Chen *School of Public Health, Binzhou Medical University, Yantai, 264003, People's Republic of China.
Xiu-Wen Shi *School of Public Health, Binzhou Medical University, Yantai, 264003, People's Republic of China.
Shu-Ying YinSchool of Public Health, Binzhou Medical University, Yantai, 264003, People's Republic of China.
Nai-Yuan FanSchool of Public Health, Binzhou Medical University, Yantai, 264003, People's Republic of China.
Tian-Yuan ZhangSchool of Public Health, Binzhou Medical University, Yantai, 264003, People's Republic of China.
Xue-Ning ZhangSchool of Public Health, Binzhou Medical University, Yantai, 264003, People's Republic of China.
Chang-Ting YinSchool of Public Health, Binzhou Medical University, Yantai, 264003, People's Republic of China.
Wei MiSchool of Public Health, Binzhou Medical University, Yantai, 264003, People's Republic of China. miweinew@163.com.

Funding

Teaching reform and research topic of Binzhou Medical University JYKTMS2021058Teaching reform and research topic of Binzhou Medical University JYKTMS202246
6 · The paper itself

Abstract

backgroundAs online teaching gains prevalence in higher education, traditional face-to-face methods are encountering limitations in meeting the demands of medical ethics, the availability of experimental resources, and essential experimental conditions. Consequently, under the guidance of the BOPPPS (bridge-in, objective, preassessment, participatory learning, postassessment, summary) teaching model, the application of virtual simulation platform has become a new trend. The purpose of this study is to explore the effect of BOPPPS combined with virtual simulation experimental teaching on students' scores and the evaluation of students' participation, performance and teachers' self-efficacy in preventive medicine experiment.

methodsStudents from Class 1 and Class 2 of 2019 preventive medicine major in Binzhou Medical University were selected as the research objects. The experimental group (class 2) (n = 51) received the teaching mode combined with BOPPPS and virtual simulation platform, while the control group (class 1) (n = 49) received the traditional experimental teaching method. After class, the experimental report scores, virtual simulation scores, students' engagement scale (SES), Biggs questionnaires, and teachers' sense of self-efficacy (TSES) questionnaires were analyzed.

resultsThe experimental report results demonstrated a significant increase in the total score of the experimental group and the scores of each of the four individual experiments compared to the control group (P < 0.05). To investigate the impact of the new teaching model on students' learning attitudes and patterns, as well as to evaluate teachers' self-efficacy, a questionnaire survey was administered following the course. The SES results showed that students in the experimental group had high performance scores on the two dimensions of learning methods and learning emotions (t = 2.476, t = 2.177; P = 0.015, P = 0.032). Furthermore, in the Biggs questionnaire, the total deep learning score of the experimental group was higher than that of the control group (t = 2.553, P = 0.012), and the deep learning motivation score of the experimental group was higher than that of the control group (t = 2.598, P = 0.011). The TSES questionnaire shows that most teachers think it is easier to manage students and the classroom and easier to implement teaching strategies under this mode.

conclusionsThe combination of BOPPPS and the virtual simulation platform effectively enhances the experimental environment for students, thereby improving their academic performance, engagement and learning approach in preventive medicine laboratory courses.

Indexed as

Education, Medical, UndergraduatePreventive MedicineComputer-Assisted InstructionEducational MeasurementEducation, DistanceFemaleHumansMaleSelf EfficacySimulation TrainingStudents, MedicalSurveys and QuestionnairesVirtual RealityYoung AdultBOPPPS modelExperimental teaching evaluationExperimental teaching implementationPreventive medicineVirtual simulation platform

Identifiers

PMID39501207
PMCPMC11536896

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.