大数据时代下研究生科研素质培养研究

科研素质的提升是高校研究生培养的重要目标。随着信息技术的发展,研究生培养已与大数据发生了深度融合,海量科学数据逐渐成为科学研究的基本工具和信息来源。如何在大数据浪潮下推进教育事业的发展,稳步提高学生的数据素养和科研素质,驾驭第四范式的挑战成为亟待解决的问题。文章重点分析大数据时代下高校学生学习方式和科研方法的改变,从教学模式、科研方法两方面具体研究大数据对研究生科研素质培养产生的冲击,同时分析了知识产权、科研伦理等问题,并针对大数据应用于教育领域的独特性,提出研究生科研素质培养建议。

Study on the cultivation of postgraduates' scientific research quality in the era of big data

The improvement of scientific research quality is an important goal of postgraduate cultivation in universities. With the development of information technology, postgraduate education has been deeply integrated with big data, massive scientific data has gradually become a basic tool and information source for scientific research. How to promote the development of education under the wave of big data, steadily improve students'' data literacy and scientific research quality, and master the challenges of the fourth paradigm has become an urgent problem to be solved. This paper focuses on the analysis of the changes in the learning methods and scientific research methods of college students in the era of big data. It specifically studies the huge impact of big data on the cultivation of graduate students'' scientific research quality from the aspects of teaching mode and scientific research methods. It also analyzes the impact of diversified data on such issues as intellectual property rights and scientific research ethics. In view of the peculiarity of big data application in the field of education, this paper puts forward suggestions for the cultivation of graduate students'' scientific research quality.