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首页> 外文期刊>Journal of Educational Data Mining >Putting ECD into Practice: The Interplay of Theory and Data in Evidence Models within a Digital Learning Environment
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Putting ECD into Practice: The Interplay of Theory and Data in Evidence Models within a Digital Learning Environment

机译：将ECD付诸实践：数字学​​习环境中证据模型中理论与数据的相互作用

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In this paper we describe the development and refinement of evidence rules andmeasurement models within the evidence model of the evidence-centered design (ECD)framework in the context of the Packet Tracer digital learning environment of the CiscoNetworking Academy. Using Packet Tracer learners design, configure, and troubleshootcomputer networks within an interactive interface. This leads to product data, whichresult from the students final submitted network configurations, and process data, whichare log file entries detailing how they got to the final configurations. We discuss how aniterative cycle of empirical analyses and discussions with subject-matter experts isessential for identifying and accumulating evidence about skill profiles of learners andtheir development. We present results from descriptive, exploratory, and confirmatorydiagnostic modeling analyses for both data types, which required bringing to bear adiversity of tools from multivariate statistics, modern psychometrics, and educationaldata mining. We close the paper with a discussion of the implications of this work forevidence-based argumentation guided by ECD principles within digital learningenvironments more generally.
机译：在本文中，我们在Cisco Networking Academy的Packet Tracer数字学习环境的背景下，描述了以证据为中心的设计（ECD）框架的证据模型内证据规则和度量模型的发展和完善。使用Packet Tracer学习器可以在交互式界面中设计，配置计算机网络并进行故障排除。这会导致产生产品数据，这些数据来自学生最终提交的网络配置，以及过程数据，这些数据是日志文件条目，详细说明了他们如何获得最终配置。我们讨论了与主题专家进行的经验分析和讨论的反循环如何对识别和积累有关学习者技能概况及其发展的证据至关重要。我们提供两种数据类型的描述性，探索性和确认性诊断建模分析的结果，这需要利用多元统计，现代心理学和教育数据挖掘工具的多样性。在本文的最后，我们讨论了在数字学习环境中以ECD原则为指导的这项基于证据的论证的含义。

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