基于微格重构的混合教学方式在医学院校计算机类课程中的应用
Application of hybrid teaching method based on microgrid reconstruction in computer courses in medical colleges and universities
马文辉 1吴明 2张民 3崔杰 2李清江2
作者信息
- 1. 齐齐哈尔医学院计算机实验教学中心,齐齐哈尔 161006
- 2. 齐齐哈尔医学院计算机教研室,齐齐哈尔 161006
- 3. 齐齐哈尔医学院现代教育技术中心,齐齐哈尔 161006
- 折叠
摘要
目的 探讨基于微格重构的混合教学方式在医学院校计算机类课程中的应用.方法 采用微格化重构策略,构建一种新的混合式教学方法,并将其应用于医学院校计算机类课程的教学实践中.对计算机类课程进行微格化处理,按照线上线下、理论实践等模式进行各门课程之间的微格化混合重构,构建计算机类课程教学效果评价的结构方程模型,以验证其实施效果.结果 评价结果显示,微格化处理、混合模式重构,对于提升医学院校学生对计算机类课程的学习兴趣具有显著的正向影响,并间接起到了提高学生学习成绩的作用,结构方程路径系数为0.39.结论 基于微格重构的混合教学方式在医学院校计算机类课程中的应用效果显著,可以在同类院校乃至更多高校中推广应用.
Abstract
Objective To explore the application of hybrid teaching method based on microgrid reconstruction in computer courses in medical colleges and universities.Methods In this paper,a strategy of microgrid reconstruction was adopted to construct a new hybrid teaching method and applied it to the teaching practice of computer courses in medical schools.Microgrid processing had been carried out on computer courses,and microgrid hybrid reconstruction had been carried out between various courses in accordance with online and offline,theoretical and practical modes,constructed a structural equation model for evaluating the teaching effectiveness of computer courses in order to test the implementation effect.Results Evaluation results showed that microgrid processing and mixed mode reconstruction had a significant positive impact on enhancing the interest of medical students in computer courses,and indirectly played a role in improving students'academic performance,and the path coefficient of the structural equation was 0.39.Conclusions The hybrid teaching method based on microgrid reconstruction has a significant effect on the teaching of computer courses,and can be promoted and applied in similar colleges and universities.
关键词
医学院校/计算机课程/微格重构/混合教学方式Key words
Medical colleges and universities/Computer courses/Microlattice reconstruction/Mixed teaching method引用本文复制引用
基金项目
2021年度黑龙江省高等教育教学改革研究项目(SJGY20210993)
出版年
2024
NETL
NSTL
维普
万方数据