高职大数据技术专业“岗课赛证创”融通育人模式研究

摘要：该文针对高职大数据技术专业育人现状，剖析了传统模式的不足，构建了“岗课赛证创”融通模式。通过岗位导向、课程优化、以赛促学、资格认证对接及创新能力培养，旨在培育理论知识扎实、实践技能突出的大数据技术人才，增强学生的就业与岗位适应能力。

关键词：高职教育；大数据技术；岗课赛证创；融通育人

doi：10.3969/J.ISSN.1672-7274.2024.11.080

中图分类号：G 71；TP 3                 文献标志码：A            文章编码：1672-7274（2024）11-0-03

Research on the "Post-Curriculum-Competition-Certification-Innovation" Integrated Education Model for Higher Vocational Big Data Technology Major

SUN Jia， CHI Xiaoman

（Jilin Vocational and Technical College of Communications， Changchun 130012， China）

Abstract： This paper analyzes the current situation of educating talents in the higher vocational big data technology major and points out the deficiencies of the traditional "theory + practice" model， such as the disconnection between theory and practice， insufficient practical opportunities， and lack of innovation ability cultivation. It constructs the "Post-Curriculum-Competition-Certification-Innovation" integrated education model， aiming to cultivate high-quality big data technology talents with solid theoretical knowledge and outstanding practical skills through the integration of five aspects： post-oriented education， curriculum optimization， competition-promoted learning， qualification certification docking， and innovation ability cultivation. This model emphasizes the close connection between educational content and industry demands， focusing on the cultivation of students' practical abilities and innovative thinking to enhance their employment competitiveness and post adaptation abilities.

Keywords： higher vocational education; big data technology; Post-Curriculum-Competition-Certification-Innovation; integrated education

0   引言

随着大数据技术的飞速进步与广泛应用，社会对具备专业技能的大数据人才的需求愈发强烈。（剩余4363字）