新工科背景下的大数据专业课程思政建设

Exploration of Ideological and Political Construction Methods of Big Data Major under the New Engineering Background

课程思政是高校落实立德树人根本任务的重要举措之一。作为一门典型的新工科专业,大数据专业涵盖学科范围广,专业综合能力要求高,然而教学实践中却存在重专业知识和应用技能传授、轻素质教育和价值引领培养问题,专业教育与思想政治教育发展不平衡,严重影响了人才培养质量。文章对当前大数据专业课程思政建设存在的问题进行了深入探索,进而提出了解决路径:通过分层设计课程思政育人目标、改革教学内容、创新教学方法、整合思想政治教育资源、提升教师课程思政教学能力等举措,促进大数据专业课程实现“同向同行,协同育人”教学目标,提高大数据专业人才培养质量。

Ideological and political education in all courses is one of the important measures to realize the fundamental task of moral education in universities.Big Data major is a classic new engineering major,which covers a wide range of disciplines and requires high professional comprehensive ability.However,in teaching implementation,there are problems of emphasizing the teaching of professional knowledge and application skills,neglecting quality education and value leading training.The development of professional education and ideological and political education is unbalanced,which seriously affects the quality of talent training.In this paper,the problems existing in curriculum ideological and political construction of big data major are investigated.Furthermore,a series of solution approaches are proposed.Through layered design of the teaching objectives of ideological and political education,reform of teaching contents,innovation of teaching methods,integration of ideological and political education resources,improvement of teaching ability about ideological and political education,and others measures,make all courses of big data major achieve the teaching goal of“working in the same direction and cultivating people together”,and improve talents training quality of big data major.