大数据专业本科生实践能力与科研素养协同培养模式研究

Research on the Collaborative Training Model of Practical Ability and Scientific Research Literacy of Big Data Major Undergraduates

摘要: 随着大数据技术的快速发展，培养兼具实践能力和科研素养的大数据专业人才已成为当下高等教育的一项重要任务。本文探索如何通过系统的实践技能和科研素养训练，提高大数据专业本科生的综合能力。首先，实践能力的培养涉及数据采集、处理、分析、可视化等核心能力的培养，通过真实项目案例，引导学生在解决实际问题中提升专业技能。其次，科研素养方面重在培养学生的科研思维，鼓励学生围绕大数据课题从选题、文献查阅、数据分析到论文撰写展开系统性训练，以培养严谨的科研态度与创新思维。最后，结合当前教学实践，本文从课程设计、实践项目及科研活动等维度提出具体建议。提出的方案旨在优化大数据专业的教学模式，培养具有实践能力和科研素养的应用研究型人才。

Abstract: With the rapid development of big data technology, cultivating big data majors with practical ability and scientific research literacy has generated an important task of current higher education. This paper explores how to improve the comprehensive ability of big data major undergraduates through systematic practical skills and scientific research literacy training. Firstly, practical skills development focuses on core competencies such as data collection, processing, analysis, modeling, and visualization, utilizing real-world project cases to enable students to elevate their technical proficiency by solving practical problems. Secondly, scientific research literacy focuses on cultivating students’ scientific thinking. Students are encouraged to engage in a systematic process encompassing topic selection, literature review, data analysis, and academic paper writing centered around big data research topics, thereby cultivating a rigorous research attitude and innovative thinking. Finally, drawing upon current teaching practices, this paper proposes concrete recommendations regarding curriculum design, practical projects, and research activities. The proposed program aims to optimize the teaching model for big data programs and cultivate applied research talents with practical ability and scientific research literacy.