我国高校大数据治理能力成熟度模型的构建与实践OA北大核心CSSCI
Construction and Practice of the Maturity Model of Big Data Governance Capability in Chinese Universities:Based on the Perspective of CMM and ISM Fusion Research
构建科学有效的高校大数据治理评价模型,对激活大数据在教育数字化转型中的核心驱动作用,发挥高校在教育数字化转型中的引领示范作用具有重要意义.基于此,基于高校大数据治理的核心要素,通过融合解释结构模型(ISM)和能力成熟度模型(CMM)两种研究方法,以ISM的层次结构划分逻辑、核心要素在层次结构中的分布情况等量化手段,强化在CMM构建过程中,划分成熟度等级、确定关键过程域、明晰成熟度等级和关键过程域的对应关系等主要环节的科学性与合理性,构建出包括 5 个成熟度级别、21 项关键过程域在内的我国高校大数据治理能力成熟度模型.同时,基于 2022 年浙江省高校信息化建设评估项目数据,采取分层抽样法抽取 30 所高校开展模型的实践应用,以期为高校大数据治理评价研究提供参考.
It is of great significance to build a scientific and effective evaluation model of universities to activate the core driv-ing role of big data in the digital transformation of education and give full play to the leading and demonstration role of universities in the digital transformation of education.Based on the core elements of university big data governance,and by integrating the two re-search methods of Interpretive Structural Model(ISM)and Capability Maturity Model(CMM),this study uses quantitative means such as hierarchy division logic of ISM and distribution of core elements in hierarchy to strengthen the construction process of CMM(the scientificity and rationality of major links such as dividing maturity levels,determining key process areas,clarifying the corresponding relationship between maturity levels and key process areas).A big data governance capability maturity model of Chinese universities is constructed,which includes 5 maturity levels and 21 key process areas.At the same time,based on the data of the University In-formatization Construction Evaluation Project in Zhejiang Province in 2022,the layered sampling method is adopted to select 30 uni-versities to carry out the practical application of the model,in order to provide references for the evaluation of big data governance in universities
胡水星;包飞宇;荆洲;王会军
湖州师范学院教师教育学院(浙江湖州 313000)福建师范大学教育学院(福建福州 350007)浙江省教育技术中心(浙江杭州 310012)
教育学
高校大数据治理评价模型ISMCMM
Big Data GovernanceEvaluation ModelISMCMM
《远程教育杂志》 2024 (004)
22-30 / 9
本文系2021-2022年度浙江省高校重大人文社科攻关计划项目"教育数字化背景下高校大数据治理的现实困境及优化策略研究"(项目编号:2023GH009)和湖州师范学院研究生科研创新项目"基于能力成熟度模型的高校数据治理评价指标研究"(项目编号:2023KYCX15)的研究成果.
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