维基百科在大学课程中的应用:课程页面的元分析告诉我们什么?

Filomena Pestana, Teresa Cardoso
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引用次数: 0

摘要

当我们以获取信息为目的进行网络搜索时,维基百科是一个不可避免的资源。它的内容是从自下而上的角度构建的,因此它并不总是被学术界所接受。然而,这不是维基媒体基金会的观点。因此,在“维基百科属于教育”的座右铭下,维基媒体基金会通过维基百科教育计划与教育机构合作,其中包括维基百科大学计划。在这种情况下,对维基百科葡萄牙语社区提供的课程相关页面进行元分析是很重要的。为此,在方法上,我们采用了MAECC®,即分析和探索科学知识的元模型®。我们的语料库包括22所高等教育机构,其中21所是巴西的,1所是葡萄牙的——阿伯塔大学(葡萄牙开放大学)。在本文中,我们将介绍为满足研究目标而创建的元分析网格,确定在MAECC®模型的所有5个宏观类别中获得的数据。总的来说,元分析课程是多样化的,涉及动态实践和有效的工作策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wikipedia in University Program: What Does the Metaanalysis of the Courses’ Page Tells Us?
Wikipedia is an unavoidable resource when we do a web search with the aim of obtaining information. Its content is built from a bottom-up perspective and for this reason it is not always accepted in academia. However, this is not the view of the Wikimedia Foundation. Thus, under the motto “Wikipedia belongs to education”, the Wikimedia Foundation has partnered with educational institutions through the Wikipedia Education Program, which includes the Wikipedia in University Program. Within this scenario, it was considered important to do the meta-analysis of the page related to the courses offered in the context of this program with regard to the Wikipedian Portuguese speaking community. For this purpose, methodologically, we followed the MAECC®, the Meta-model to Analyse and Explore Scientific Knowledge®. Our corpus includes 22 Higher Education institutions, 21 of which are Brazilian and 1 Portuguese – Universidade Aberta (Open University Portugal). In this text, we will present the meta-analysis grid created to meet the research aims, identifying the data obtained in all the 5 macro categories of the MAECC® model. In general, the meta-analysed courses are diverse and refer to dynamic practices and valid work strategies.
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