数据素养对研究生科研创新能力的影响研究
发布时间：2018-11-07 10:52
【摘要】：研究生培养是我国高等教育的最高层次,其目的是为我国社会主义建设培养高素质的创新型人才,科研创新能力是研究生教育的关键。科学研究离不开定量分析,定量分析需要用数据“说话”,所以当前数据密集型科研范式的确立要求科研流程建立在数据基础之上,因而研究生的数据素养尤为重要。本文以提高研究生科研创新能力为目的,明确了数据素养与研究生科研能力的关系,构建了数据素养对研究生科研创新能力的影响模型,并分别对文理科研究生进行了实证研究,以期为研究生数据素养教育提供参考。首先,本文明确了提升研究生数据素养的重要性,介绍了数据素养的起源、基本概念及目前研究生数据素养的现状;基于前人研究及大数据时代科研数据所具备的特点,将数据素养分为数据意识、数据获取能力、处理能力、分析利用能力及数据伦理五个维度。从论文、发明、专利、项目、科研获奖的数量和质量五个维度来衡量科研创新能力,对研究生数据素养与科研创新能力的关系提出假设并构建相应的结构模型。之后,根据数据素养与科研创新能力各维度及模型假设编制调查问卷,以在读研究生为对象进行问卷发放。调研后对量表进行信度与效度分析,结果表明量表具有良好的信度与效度。运用AMOS软件对结构模型进行识别和拟合,确定数据素养各维度与科研创新能力的路径系数,对路径系数进行显著性分析并对模型进行修正,得出:数据获取能力、数据分析利用能力、数据伦理正向影响科研创新能力,数据意识与数据处理能力对科研创新能力影响不显著。最后,根据学科类别对回收的问卷进行分类,运用AMOS软件分别构建数据素养对文理科研究生科研创新能力的影响模型,得出数据素养对文科研究生科研创新能力影响不大,但对理工科研究生科研创新能力影响较为显著,并对文理科研究生数据素养影响模型的差异性进行了分析。基于目前研究生数据素养教育及科研创新能力的现状及存在的问题,提出了相应的建议和对策。
[Abstract]:Postgraduate training is the highest level of higher education in our country, its purpose is to cultivate high quality innovative talents for the socialist construction of our country. The ability of scientific research and innovation is the key to graduate education. Scientific research can not be separated from quantitative analysis, quantitative analysis needs to "speak" with data, so the establishment of data-intensive research paradigm requires the scientific research process to be based on data, so the data literacy of graduate students is particularly important. In order to improve the innovation ability of postgraduate research, this paper clarifies the relationship between data literacy and graduate scientific research ability, and constructs the model of the influence of data literacy on graduate scientific research innovation ability. The author makes an empirical study on graduate students of arts and science in order to provide reference for data literacy education of postgraduates. Firstly, this paper defines the importance of improving graduate data literacy, introduces the origin of data literacy, basic concepts and the current status of graduate data literacy; Based on the previous research and the characteristics of scientific research data in big data's time, the data literacy is divided into five dimensions: data consciousness, data acquisition ability, processing ability, analysis and utilization ability and data ethics. From the five dimensions of thesis, invention, patent, project and the quantity and quality of scientific research award, the author puts forward the hypothesis of the relationship between graduate students' data literacy and scientific research innovation ability and constructs the corresponding structural model. Then, according to the dimensions of data literacy and innovation ability of scientific research and model hypothesis, the questionnaire was compiled and distributed to graduate students. After investigation, the reliability and validity of the scale were analyzed, and the results showed that the scale had good reliability and validity. The structural model is identified and fitted by AMOS software, and the path coefficients of each dimension of data literacy and the ability of scientific research innovation are determined. The significant analysis of the path coefficient and the modification of the model are carried out, and the results show that the ability of data acquisition can be obtained. The ability of data analysis and utilization, data ethics positively affect the ability of scientific research innovation, but the ability of data consciousness and data processing has no significant effect on the ability of scientific research innovation. Finally, according to the category of disciplines to classify the recovered questionnaire, using AMOS software to construct the model of the impact of data literacy on the innovation ability of graduate students in arts and science research, it is concluded that data literacy has little impact on the ability of scientific research innovation of liberal arts graduate students. But it has a significant effect on the scientific research innovation ability of science and engineering graduate students, and analyzes the difference of the model of the influence model of the graduate students' data literacy. Based on the present situation and existing problems of data literacy education and scientific research innovation ability of postgraduates, the corresponding suggestions and countermeasures are put forward.
【学位授予单位】：南昌大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：G643.2
本文编号：2316124
[Abstract]:Postgraduate training is the highest level of higher education in our country, its purpose is to cultivate high quality innovative talents for the socialist construction of our country. The ability of scientific research and innovation is the key to graduate education. Scientific research can not be separated from quantitative analysis, quantitative analysis needs to "speak" with data, so the establishment of data-intensive research paradigm requires the scientific research process to be based on data, so the data literacy of graduate students is particularly important. In order to improve the innovation ability of postgraduate research, this paper clarifies the relationship between data literacy and graduate scientific research ability, and constructs the model of the influence of data literacy on graduate scientific research innovation ability. The author makes an empirical study on graduate students of arts and science in order to provide reference for data literacy education of postgraduates. Firstly, this paper defines the importance of improving graduate data literacy, introduces the origin of data literacy, basic concepts and the current status of graduate data literacy; Based on the previous research and the characteristics of scientific research data in big data's time, the data literacy is divided into five dimensions: data consciousness, data acquisition ability, processing ability, analysis and utilization ability and data ethics. From the five dimensions of thesis, invention, patent, project and the quantity and quality of scientific research award, the author puts forward the hypothesis of the relationship between graduate students' data literacy and scientific research innovation ability and constructs the corresponding structural model. Then, according to the dimensions of data literacy and innovation ability of scientific research and model hypothesis, the questionnaire was compiled and distributed to graduate students. After investigation, the reliability and validity of the scale were analyzed, and the results showed that the scale had good reliability and validity. The structural model is identified and fitted by AMOS software, and the path coefficients of each dimension of data literacy and the ability of scientific research innovation are determined. The significant analysis of the path coefficient and the modification of the model are carried out, and the results show that the ability of data acquisition can be obtained. The ability of data analysis and utilization, data ethics positively affect the ability of scientific research innovation, but the ability of data consciousness and data processing has no significant effect on the ability of scientific research innovation. Finally, according to the category of disciplines to classify the recovered questionnaire, using AMOS software to construct the model of the impact of data literacy on the innovation ability of graduate students in arts and science research, it is concluded that data literacy has little impact on the ability of scientific research innovation of liberal arts graduate students. But it has a significant effect on the scientific research innovation ability of science and engineering graduate students, and analyzes the difference of the model of the influence model of the graduate students' data literacy. Based on the present situation and existing problems of data literacy education and scientific research innovation ability of postgraduates, the corresponding suggestions and countermeasures are put forward.
【学位授予单位】：南昌大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：G643.2
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