德国大学网络互动的特点

L. Luchikhina
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引用次数: 2

摘要

本文提出了一套高校网络活动评价标准体系。本文提出的评估“卓越计划”中“精英”大学之间网络互动的方法是基于对高等教育机构官方网站和其他开放资源的分析。这个问题是高度相关的,因为德国是欧洲高等学术教育和科学研究领域的领导者之一。第一组标准利用“pentaspiral”概念处理伙伴关系网络社区中行动者的组成。通过将这些标准应用于德国的科学景观,我们可以确定一个由400个参与者组成的密集网络,如大学、世界著名的非大学研究机构、强大的科学生产集群、政治结构和民间社会机构。第二组标准确定所选伙伴关系网络社区中交互过程的特征。对大学之间相互作用的分析表明,大学既是教育机构,也是科学中心。第三组标准揭示了角色转变的前景和大学之间网络互动的进一步发展,包括在国际市场上积极提供教育服务,“输出”教育计划,并根据德国模式在国外组织高等教育机构提供援助。所得数据可用于优化高校加入国际网络社区的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characteristics of the Networking Interaction among the Universities of Germany
The article presents a system of evaluation criteria for university networking activities. The proposed approach to evaluation of the networking interaction among "elite" universities included into the "Excellence Initiative" program is anchored into analysis of official websites of higher education institutions and other open sources. This issue is highly relevant, since Germany is one of the European leaders in the spheres of higher academic education and scientific research. The first group of criteria deals with the composition of actors in partnership networking communities by drawing on the "pentaspiral" concept. By applying these criteria to Germany’s scientific landscape, we can identify a dense network composed of 400 actors, such as universities, world-famous non-university research institutes, powerful scientific production clusters, political structures, and civil society institutions. The second group of criteria determines the characteristics of the interaction process in the selected partnership networking communities. The presented analysis of interactions among the universities accounts of them as both educational institutions and scientific centers. The third group of criteria reveals the prospects of transformation of the role and further development of the networking interaction among the universities that include active presence of educational services on the international market, “export” of educational programs, and provision of assistance in organizing institutions of higher education based on the German model abroad. The obtained data can be used in optimizing universities’ strategies for joining international networking communities.
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