大数据专业本科生科技论文写作教学方法改革研究  

Research on the Reform of Teaching Methods of Scientific Paper Writing for Undergraduates Majoring in Big Data

作　　者：张乐 陈岩松 田英爱[1] 

机构地区：[1]北京信息科技大学计算机学院,北京

出　　处：《创新教育研究》2024年第8期257-262,共6页Creative Education Studies

摘　　要：大数据专业本科生的科技论文写作对于保证专业本科人才培养质量具有重要的价值和意义。通过深入调研和分析大数据专业本科生在毕业设计和研究型学术论文写作的整个过程中存在的问题,对科技论文写作的教学方法进行改进。提出加强科技论文写作的实践训练,理论结合实践,通过多轮迭代的论文写作与修改,提升学生的写作能力。融入课程思政元素,将伟大的科学家、身边的优秀科研人员作为案例进行讲解,增强学生的创新意识,培养刻苦努力、坚持不懈的科研精神。最后,从理论和实践两个方面提出综合评价指标,客观评测学生的科技论文写作能力。The writing of scientific papers by undergraduates majoring in big data has important value and significance for ensuring the quality of professional undergraduate personnel training. Through in-depth research and analysis of the problems existing in the whole process of graduation design and academic papers writing for undergraduates majoring in big data, the teaching methods of scientific papers writing are improved. It is proposed to strengthen the practical training of scientific papers writing, combine theory with practice, and improve students’ writing ability through multiple rounds of paper writing and revision. Integrating ideological and political contents into the course, and explaining great scientists and outstanding scientific researchers as cases, can enhance students’ sense of innovation, and cultivate the spirit of hard work and perseverance in scientific research. Finally, from the theoretical and practical aspects of the comprehensive evaluation index to objectively evaluate students’ ability to write scientific papers.

关 键 词：大数据 科技论文写作 课程思政 实践 评价 

分 类 号：H31[语言文字—英语]