大数据驱动下“双一流”高校跟踪评估平台构建研究

在大数据时代,传统的高校评估体系相对滞后,未能客观反映出跟踪评估高校的具体动态结果,未能完全实现评估体系的智能化服务.文章以"双一流"高校跟踪评估为切入点,探索大数据驱动下"双一流"高校跟踪评估平台的构建问题.文章首先梳理了国内外世界一流大学、一流学科的研究现状与热点趋势,以及大数据驱动与跟踪评估的相关研究,明确了世界一流大学和一流学科与大数据跟踪评估的整体特征;其次,在总结国内外研究现状的基础上,重点研究了大数据驱动下"双一流"高校跟踪评估平台的构建;最后,深入解析了"双一流"高校跟踪评估平台构建的功能和作用等问题.本研究期待为构建大数据驱动下的"双一流"高校跟踪评估体系提供重要支撑,为多元评估判断和科学决策提供客观依据.

Research on the construction of "double first-class" university tracking and evaluation platform driven by big data

In the era of big data, the traditional university evaluation system is relatively lagging behind, and it fails to objectively reflect the specific dynamic results of tracking and evaluating universities and realize the intelligent service of the evaluation system. The paper takes the tracking evaluation of double first-class universities as the starting point, and explores the construction of the tracking evaluation platform of "double first-class" universities driven by big data. Firstly, it combs the research status and hot trends of world-class universities and first-class disciplines at home and abroad, as well as related research on big data-driven and tracking evaluation, and clarifies the overall characteristics of world-class universities, first-class disciplines and big data tracking evaluation. Secondly, on the basis of summarizing the current research status at home and abroad, the focus is on the construction of a tracking evaluation platform for double-class universities driven by big data. Finally, it analyzes the function and role of the double first-class university tracking evaluation platform in depth. This research provides important support for building a "double first-class" university tracking evaluation system driven by big data, and provides an objective basis for multiple evaluation judgments and scientific decision-making.