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Information asymmetries in web-based information for engineering transfer students

机译：信息不对称在基于Web的工程转移学生信息中的信息

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Background Transfer students in engineering must navigate a myriad of information sources to obtain accurate information on how to matriculate into a 4-year institution. Although some institutional and state-level initiatives attempt to streamline the transfer process, students still report difficulties.Purpose This article explores the extent to which web-based transfer information is fragmented across institutional websites and written using communicative strategies that could limit comprehension. Accordingly, this study characterizes information asymmetries-gaps in information-that affect transfer students in terms of two constructs: fragmentation and language.Method We employed a convergent fully integrated mixed-methods design with a stratified random sample of 38 US engineering degree-granting institutions. The connections between the webpages were transformed into networks and clustered using k-means and partitioning around medoids with measures of dispersion and centrality. A purposeful nested sample of 16 institutions was taken based on the clusters and explored using a two-cycle mixed-methods coding protocol to understand how fragmentation and language interact to create information asymmetries. The resulting themes from each construct were integrated to develop narratives across the sampled institutions.Conclusions We found the web-based information for transfer students to be a messy web of loosely connected structures with language that complicates understanding. We identified four fragmentation themes illustrating how transfer information is organized and six language themes capturing linguistic patterns across the webpages. We offer strategies for researchers and practitioners based on the narratives we developed.
机译：背景技术工程中的学生必须导航无数的信息来源，以获得有关如何进入4年机构的准确信息。虽然一些制度和国家级的举措试图简化转移过程，但学生仍然报告困难。本文探讨了基于网络的转移信息在机构网站上分散的程度，并使用可能限制理解的交际战略编写的程度。因此，本研究表征了信息中的信息不对称 - 差距 - 影响转移学生的两种构建：碎片和语言。方法我们采用了一项收敛的完全集成的混合方法设计，具有38个美国工程学位授予机构的分层随机样本。 。网页之间的连接被转换为网络，并使用K-meanse群集，并以分散和中心的测量分隔麦细管。基于集群采取了16个机构的有目的的嵌套样本，并使用双周期混合方法编码协议探索，以了解碎片和语言如何交互以创建信息不对称。来自每个构造的结果主题被整合到开发讨论的叙述.Conclusions我们发现基于网络的信息，以便将学生转移到与语言复杂化的语言是松散连接的结构的凌乱网络。我们确定了四个碎片主题，说明了如何组织传输信息和六个语言主题捕获在网页上的语言模式。我们为基于我们开发的叙述提供研究人员和从业者提供战略。

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