面向大数据管理与应用专业的数据素养能力评价指标体系构建

Research on Data Literacy Ability Evaluation Index System for Big Data Management and Application Major

[目的/意义]针对新时代对大数据人才的需求,高校纷纷开设大数据管理与应用专业,传统信息素养已经不能满足专业的建设要求,因此为了新专业的正向引导,亟须构建面向大数据管理与应用专业的数据素养能力评价指标体系。[方法/过程]文章采用文献研究法,梳理国内外研究现状,紧扣信息素养教育现状,针对薄弱环节,从全过程视角分析专业理论与实践教学,以成果导向驱动为目标,建立面向大数据管理与应用专业的数据素养能力评价指标体系,形成数据素养能力培养目标、评价指标、评价过程、反馈与优化的闭环。[结果/结论]最终选取7个一级指标和25个二级指标组成评价指标体系,并对其应用提出建议,完善大数据管理与应用专业数据素养能力数据库,为学生的数据素养提升提供有效保障。

[Purpose/significance]In view of the demand for big data talents in the new era,colleges and universities have set up big data management and application majors one after another.Traditional information literacy can no longer meet the requirements of professional construction.Therefore,in order to guide the new major positively,it is urgent to build a data literacy ability evaluation index system for big data management and application major.[Method/process]This paper uses the method of literature research,combing the research status at home and abroad,focusing on the current situation of information literacy education.Aiming at the weak links,this paper analyzes the professional theory and practice teaching from the perspective of the whole process.With the goal of achievement oriented driving,the data literacy ability evaluation index system for big data management and application specialty is established to form a closed loop of data literacy ability training objectives,evaluation indexes,evaluation process,feedback and optimization.[Result/conclusion]Finally,7 first-level indicators and 25 second-level indicators are selected to constitute the evaluation index system,and suggestions are put forward for its application,so as to improve the database of big data management and applied professional data literacy ability,and provide effective guarantee for the improvement of students’data literacy.