学科竞赛融入实践能力培养体系的路径探索——以数据科学与大数据技术专业为例

Exploring the Pathways of Integrating Academic Competitions into Practical Ability Cultivation Systems—Taking the Data Science and Big Data Technology Major as an Example

摘要: 学科竞赛作为提升学生综合素质与创新能力的重要途径，与实践能力培养相互促进，共同构筑起连接理论知识与实际应用的桥梁。本文首先分析了数据科学与大数据技术专业学科竞赛的基本特点，并探讨了实践能力培养体系的基本构成。随后，针对当前实践教学中存在的教学内容深度不足、教学流程系统性欠缺等问题进行分析。在此基础上，提出将学科竞赛有机融入实践教学的改革路径，强化了实践环节，促进学科竞赛与实践能力培养的融合。本文旨在为应用型人才培养提供理论依据与实践参考，从而推动数据科学与大数据技术专业教育的持续改进与发展。

Abstract: As a vital pathway for enhancing students’ comprehensive qualities and innovative abilities, academic competitions and the cultivation of practical skills mutually reinforce each other, collectively constructing a bridge that connects theoretical knowledge with real-world applications. This paper first analyzes the fundamental characteristics of academic competitions within the Data Science and Big Data Technology discipline and explores the essential components of the practical skills cultivation system. Subsequently, it examines current challenges in practical teaching, such as insufficient depth in the teaching content and the lack of systematic teaching processes. Building on this analysis, the paper proposes reform strategies to organically integrate academic competitions into practical teaching, thereby strengthening practical components and promoting the integration of academic competitions with the development of practical skills. The study aims to provide theoretical foundations and practical references for cultivating application-oriented talents, thereby advancing the continuous improvement and development of education in the field of Data Science and Big Data Technology.