创新创业理论研究与实践 ›› 2021, Vol. 4 ›› Issue (22): 74-77.

• 教育改革与发展 • 上一篇    下一篇

高校数字化教学资源库建设研究——以助产专业部分课程为例

王姗姗, 黄玉婷, 陈斐, 姚淳   

  1. 上海济光职业技术学院,上海 201901
  • 发布日期:2022-03-18
  • 通讯作者: 姚淳(1959-),女,河南郑州人,大专,副教授,研究方向:护理教育,通讯邮箱:shentuyaochun@163.com。
  • 作者简介:王姗姗(1991-),女,河南商丘人,硕士研究生,主管护师,研究方向:急危重症护理。
  • 基金资助:
    上海高职高专市级专业教学资源库建设项目

Research on the Construction of Digital Teaching Resource Database in Colleges and Universities——Taking Some Courses of Midwifery as an Example

WANG Shanshan, HUANG Yuting, CHEN Fei, YAO Chun   

  1. Shanghai Jiguang Vocational and Technical College, Shanghai,201901, China
  • Published:2022-03-18

摘要: 高校建设数字化教学资源库,不仅方便学生自主学习,也有利于教学效率和教学质量的提升。因此,高校要加强对数字化教学资源库建设的重视,积极促进其软件和硬件设备革新。同时,数字化教学资源库可以辅助教师教学,也能辅助学生学习,对高等教育具有重要影响。该文将以助产专业部分课程为例,讲述高校数字化教学资源库的建设意义、建设原则和学生网络自主学习能力调研,并提出系列性建设策略,期望可以有效加强数字化教学资源库建设,并促进助产专业积极发展。

关键词: 高等院校, 数字化, 教学资源库, 助产专业, 网络自主学习

Abstract: The construction of digital teaching resources database in colleges and universities is not only convenient for students to study independently, but also conducive to the improvement of teaching efficiency and teaching quality. Therefore, universities should pay more attention to the construction of digital teaching resource base and actively promote the innovation of its software and hardware equipment. At the same time, the digital teaching resource database can assist teachers in teaching and students in learning, which has an important impact on higher education. This paper will take some courses of midwifery major as an example, to describe the significance of the construction of digital teaching resources database in colleges and universities, the construction principles and the investigation of students' network autonomous learning ability, and put forward a series of construction strategies, hoping to effectively strengthen the construction of digital teaching resources database, and promote the positive development of midwifery major.

Key words: Colleges and universities, Digital, Teaching resource database, Midwifery, Network autonomous learning

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