高本衔接协同育人的教学标准研究与实践——以广东农工商职业技术学院大数据与会计专业为例
Research and Practice on Teaching Standards for Collaborative Education of Higher Vocational and Undergraduate Education——Take the Big Data and Accounting Major of Guangdong Agriculture Industry Business Polytechnic as an Example
古青菲1
作者信息
- 1. 广东农工商职业技术学院,广东广州 510507
- 折叠
摘要
国家职业教育大发展下"3+2"高本一体化共育职业型人才是培养高质量技能人才的重要模式.本文基于高本衔接协同育人,明确教学标准制定的理论基础,以大数据与会计专业为例,剖析实践中存在的难题,厘清本科与高职两个学段教学标准制定中存在的差异点与衔接点,提出对策建议.建议本科院校、企业与高职共同参与教学标准制定,将技能大赛考点融入教学标准中,建立"就业岗位分析-职业能力与就业目标-高本衔接课程体系构建-课程标准制定-课程内容建设"五环节的教学标准制定程序,保障高素质技术技能人才的培养.
Abstract
Under the great development of national vocational education,the"3+2"integrated multi-level coeducation of vocational talents with high education is an important model for cultivating high-quality skilled talents.Based on the joint and collaborative education of vocational talents with high education,this article clarified the theoretical basis for the development of teaching standards.Taking the Big data and accounting majors of Guangdong agricultural industry and commerce as examples,the article analyzed the problems in practice,clarified the differences and convergence points in the development of teaching standards for undergraduate and higher vocational education,and put forward countermeasures and suggestions.It is recommended that undergraduate colleges,enterprises,and vocational colleges jointly participate in the formulation of teaching standards,Integrating skills competition test points into teaching standards,and establish a teaching standard development process for the five links of"Job Position Analysis-Vocational Ability and Employment Objectives-Construction of a High School Link Curriculum System-Formulation of Curriculum Standards-Construction of Curriculum Content"to ensure the cultivation of high-quality skilled talents.
关键词
职业本科/高本衔接/课程标准/大数据与会计Key words
vocational undergraduate education/vocational and undergraduate education connection/curriculum standards/big data and accounting引用本文复制引用
基金项目
广东省教育厅广东高校科研平台和科研项目(2021WQNCX18)
广东农工商职业技术学院教改项目(XJYB202102)
出版年
2024
NETL
NSTL
万方数据