基于大数据的科教评价信息云平台构建和智能服务研究框架

A Research Framework for the Construction of Science and Education Evaluation Cloud Computing Platform and Intelligent Service Based on Big Data

科教评价是促进国家科技和教育发展的重要助力之一,在国家科教战略规划、政策制定、绩效评估、资源分配等多个方面发挥着十分重要的作用。随着大数据时代的到来,科教信息资源的组织和利用形式开始发生变革,使得传统的科教评价理论及方法在评价的准确性、全面性和综合性等方面显现出一定的不足。文章梳理了国内外科教评价相关研究现状,发现已有研究所使用的科教评价数据的集成性和多维性不足;缺乏从内容层面进行挖掘的科教评价指标;缺乏从社会影响力层面进行科教评价的研究;缺乏信息云平台构建与科教评价相结合的研究;缺乏智能服务与科教评价相结合的研究。在此基础上,文章论述了基于大数据的科教评价研究框架构建意义,并从顶层设计入手,提出了包含需求分析、理论构建、模型与方法研究、云平台构建和智能服务五个子课题的基于大数据的科教评价信息云平台构建和智能服务研究框架和逻辑关系图,并对各子课题进行了分析和论述。

Science and education evaluation is one of the main impetuses for the national development of technology and education,and it plays a rather significant role in national scientific and educational strategic planning,policy making,performance evaluation,and resources allocation and so on.With the advent of the era of big data,the way of organizing and utilizing technological and educational information resources has begun to change,which shows certain deficiencies of traditional science and education evaluation theories and methods in the accuracy,comprehensiveness and integrity of the evaluation results.This paper summarizes the research status of science and education evaluation at home and abroad,and makes the following findings:Firstly,insufficient integration and multidimensionality of technology and education big data;Secondly,lack of evaluation indexes extracted from textual content;Thirdly,lack of research on science and education evaluation from the perspective of social influence;Fourthly,lack of comprehensive research combining construction of cloud computing platform with science and education evaluation;Finally,lack of comprehensive research combining intelligent service with science and education evaluation.Starting with the research significance of the research framework and the top-level design,this paper puts forward the research framework for the construction of science and education evaluation cloud computing platform and intelligent service based on big data as well as its logical diagram,which includes five sub-projects:requirement analysis,theory construction,model and method research,cloud computing platform construction and intelligent service.At the same time,the five sub-projects are also analyzed.