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篇名 |
基于云计算与大数据的高等教育质量指数建构———技术、理论、机制
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並列篇名 | The Development of Higher Education Quality Index on the Basis of Cloud Computing and Big Data:Technology%2C Theory and Mechanism |
作者 | 赵伶俐 |
中文摘要 | 高等教育及其质量是一个多层次多因素交织构成的复杂巨系统。如果高等教育质量的概念内涵和系统代表指标,像经济领域那样采用指数来表示,就能够比较简洁、及时、可靠地显示其状况(质量、问题、变化与趋势等),以为各级政府和各级各类大学提供科学的质量监管和决策依据。信息科学云计算与大数据的最新进展,为其实现提供了更先进的技术支持,也迫使高校信息资源共建共享制度建设的步伐提速。基于全国各省市的大学联盟成立数据联盟,是联合构建、发布和利用指数的最佳组织机构。一个彻底打破传统观念、框架、模式、方式的巨大教育信息化变革时代,已经山雨欲来,劲风满楼! |
英文摘要 | Higher education and its quality are a complicated mega-system composed of multi-levels andmulti-factors. If both the concept of higher education quality and its system index are clearly defined by indexmethod in the economic field, the current situation and development trend of higher education quality can bedisplayed in a relatively simple, timely and reliable way, thereby providing scientific basis for the decision makingprocess of government at all levels and universities in all forms. The latest developments in information science, i.e.cloud computing and mass data have provided advanced technical support for the development of informationresources sharing system at the university level. Data alliance based on university alliances across the country maybe the best organization to co-develop, publish and use higher education quality index. A great era of educationalchange that completely breaks the traditional concepts, frameworks, models and methods is drawing near, just asthe wind sweeping through the tower heralds a rising storm in the mountains. |
起訖頁 | 052-057 |
關鍵詞 | 云计算、大数据、高等教育质量、指数、数据制度、数据权力、数据联盟、Cloud Computing、Big Data、Higher Education Quality Index、Data System、Data Rights、Data Alliance |
刊名 | 復旦教育論壇 |
期數 | 201311 (11:6期) |
出版單位 | 復旦大學 |
該期刊 上一篇
| 我国大学生课堂体验及其影响因素的多层线性模型分析 |
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| 大学城学生文化需求的满意度及影响因素分析———基于广州大学城的实证研究 |