Research on the construction of “double first-class” university tracking and evaluation platform driven by big data
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G649.2

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    Abstract:

    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.

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余波,赵蓉英,王旭,李丹阳.大数据驱动下“双一流”高校跟踪评估平台构建研究[J].重庆大学学报社会科学版,2021,27(2):122~132

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History
  • Received:
  • Revised:April 11,2020
  • Adopted:
  • Online: March 13,2021
  • Published: