Dataset Information

Computer model for the cardiovascular system: development of an e-learning tool for teaching of medical students.

ABSTRACT: This study combined themes in cardiovascular modelling, clinical cardiology and e-learning to create an on-line environment that would assist undergraduate medical students in understanding key physiological and pathophysiological processes in the cardiovascular system.An interactive on-line environment was developed incorporating a lumped-parameter mathematical model of the human cardiovascular system. The model outputs were used to characterise the progression of key disease processes and allowed students to classify disease severity with the aim of improving their understanding of abnormal physiology in a clinical context. Access to the on-line environment was offered to students at all stages of undergraduate training as an adjunct to routine lectures and tutorials in cardiac pathophysiology. Student feedback was collected on this novel on-line material in the course of routine audits of teaching delivery.Medical students, irrespective of their stage of undergraduate training, reported that they found the models and the environment interesting and a positive experience. After exposure to the environment, there was a statistically significant improvement in student performance on a series of 6 questions based on cardiovascular medicine, with a 33% and 22% increase in the number of questions answered correctly, p?

SUBMITTER: Warriner DR

PROVIDER: S-EPMC5697416 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

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Computer model for the cardiovascular system: development of an e-learning tool for teaching of medical students.

Warriner David Roy DR Bayley Martin M Shi Yubing Y Lawford Patricia Victoria PV Narracott Andrew A Fenner John J

BMC medical education 20171121 1

<h4>Background</h4>This study combined themes in cardiovascular modelling, clinical cardiology and e-learning to create an on-line environment that would assist undergraduate medical students in understanding key physiological and pathophysiological processes in the cardiovascular system.<h4>Methods</h4>An interactive on-line environment was developed incorporating a lumped-parameter mathematical model of the human cardiovascular system. The model outputs were used to characterise the progressio ...[more]

PMID: 29157229

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Project description:In order to improve the efficiency of teaching and learning in Colleges and Universities (CAUs), this work combines the Browser/Server (B/S) framework with Model View Presenter (MVP) technology to build a college student-oriented micro-video teaching system based on Deep Learning (DL) and Human-Computer Interaction (HCI) technology. Firstly, it makes an in-depth analysis of the problems in the classroom teaching of Chinese CAUs. Three functional modules are designed for the micro-video online teaching platform: video management, user learning, and system management. Then, it uses MVP technology to analyze the use-cases of these three functional modules in detail. Based on this, the micro-video online teaching platform is designed using the B/S framework. The teaching platform interface layer realizes the HCI between the platform and users. The business logic layer responds to the user requests submitted and returns the processing results to the interface layer. Finally, the function test and stress test of each module of the micro-video online teaching platform is carried out. The test results show that the response time of the proposed micro-video teaching platform increases with the number of users. Under the peak concurrent users, the system response time is 6 s, without abnormalities. Meanwhile, the proposed teaching platform has improved students' satisfaction with classroom teaching by nearly 15% and improved the compactness of the college classroom by nearly 12%. When the number of virtual users increases and the number of services increases linearly, the Random Access Memory and Central Processing Unit growth rate is significantly lower than that of the number of services. These outcomes indicate that many system resources are reused, and the system has good scalability, which can meet users' needs for the network video teaching system. The proposed teaching platform provides a new idea for applying DL and HCI technology in researching college students' micro-video teaching mode.

Project description:Liver recipients may develop various diseases after transplant. However, because of inadequate study of liver transplant during undergraduate education, the quality of post-transplant care provided to these patients remains suboptimal. Herein, we introduce an innovative and integrated multimodal pedagogical approach to effectively disseminate key information regarding liver transplant to undergraduate students. The goal is to examine this approach through students' assessment in multiple dimensions.This prospective observational study evaluated student reactions to our pedagogical approach. Fifth-year medical students during the academic year 2015-2016 attended a 2-h session on what nontransplant doctors should know about liver transplants. The pedagogical strategy consisted of an online preclass self-learning exercise, an in-class interactive discussion (facilitated by the class teacher who is a liver transplant specialist to avoid distractions within the short-time frame), and a postclass essay assignment (to integrate and apply concepts). After the class, questionnaires were distributed to individual students to collect data, if returned, concerning the students' learning experience and feedback to improve teaching quality. Descriptive statistics, Mann-Whitney U tests, chi-squared tests, and McNemar's tests were used to analyze quantitative data. Qualitative data were content-coded through a descriptive approach using thematic analysis.Of the 266 attendees, 263 (98.9%) completed the questionnaires and 182 (69.2%) provided comments. Student feedback indicated they "felt better" and "more satisfied" compared with problem-based learning (PBL) (51.0 and 63.1%, respectively) or large-lecture class (92.0 and 88.6%, respectively) approaches. Regarding confidently managing liver transplant patients in future, 80 (30.4%) and 246 (93.5%) students expressed preclass and postclass confidence, respectively (p <?0.001). The bell curve of the postclass self-assessment score of learning shifted toward right and became steeper compared with that of the preclass score (p <?0.001), suggesting students acquired considerable knowledge. The course was typically perceived to be cost-effective, practical, tension-free, and student-friendly.This pedagogical approach effectively propagated knowledge concerning liver transplant to medical students, who expressed considerable satisfaction with the approach.

Dataset Information

Computer model for the cardiovascular system: development of an e-learning tool for teaching of medical students.

Publications

Computer model for the cardiovascular system: development of an e-learning tool for teaching of medical students.

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