大数据赋能高职课程教学质量保障研究
Research on the Teaching Quality Assurance of Higher Vocational Courses Empowered by Big Data
张玮1
作者信息
- 1. 常州信息职业技术学院电子工程学院 江苏常州 213164
- 折叠
摘要
从深度剖析大数据赋能高职课程教学质量保障的重要现实意义出发,结合目前高职课程教学质量保障存在的主要问题,提出了大数据赋能高职课程教学质量保障的路径是要创新信息技术与课程教学质量保障深度融合的理念、构建数据支撑的课程教学质量保障体系、实施数据支撑的课程教学质量评价方式和建立数据支撑的课程教学质量保障落地机制.
Abstract
Starting from the in-depth analysis of the important practical significance of big data empowering the teaching quality assur-ance of higher vocational courses,combined with the main problems in the current teaching quality assurance of higher voca-tional courses,it proposes that the path of big data empowering the teaching quality assurance of higher vocational courses is to innovate the concept of in-depth integration of information technology and courses teaching quality assurance,build a data-sponsored courses teaching quality assurance system,implement a data-supported courses teaching quality evaluation method and establish a data-supported courses teaching quality assurance mechanism.
关键词
大数据/高职课程/教学质量保障Key words
big data/higher vocational courses/teaching quality assurance引用本文复制引用
基金项目
江苏省高等学校哲学社会科学研究一般项目(2023)(2023SJYB1318)
教育部职业院校信息化教指委职业院校数字化转型行动研究课题(2022)(KT22009)
江苏省高等教育教学改革研究项目(2023)(2023JSJG195)
出版年
2024
NETL
NSTL
维普
万方数据