大数据环境下高校大学生信息素养影响因素研究——基于粗糙集理论

Research on Influencing Factors of University Students' Information Literacy in Big Data Environment-Based on Rough Sets Theory

【目的/意义】通过对大数据环境下高校大学生信息素养影响因素的研究,寻找一种科学量化方法,揭示影响高校大学生信息素养的决策因素,以利于采取有效措施提升大学生信息素养。【方法/过程】论文基于粗糙集理论,构建了大数据环境下高校大学生信息素养影响因素模型,设计开发了基于网络的信息素养量化分析专家系统。选取多个工科专业作为研究样本,进行数据采集。运用多层次粗糙集方法对模型进行分析,在研究结果基础上,提出高校大学生信息素养提升的建议。【结果/结论】实证研究结果表明,课程体系设计是大数据环境下高校大学生信息素养的重要影响因素,各高校应从多个层面入手提升大学生信息素养水平。

[Purpose/significance] Through the research on the influencing factors of information literacy of college students under the environment of big data, to find a scientific quantitative method, reveal the impact of the decision factors of information literacy of college students, improve students＂ information literacy with effective measures. [ Method / process ] Based on Rough Set theory, This paper constructed the influence factors model of college students information literacy un- der the big data environment, designed and developed the quantitative analysis expert system of information literacy based on network. A number of engineering majors were selected as the research samples for data collection. This paper analyzed the model with multi-level Rough Set method. On the basis of the research results, it put forward some suggestions to improve the information literacy of college students. [Result/conclusion] Curriculum design is an important factor affecting the information literacy of university students under the environment of big data, multiple levels of colleges and universities should improve the level of information literacy of college students.