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Expecting the Unexpected: Warehousing and Analyzing Data from ITS Field Use

机译：期待意外：仓储和分析其现场使用的数据

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One should expect the unexpected when deploying intelligent tutoring systems. This paper describes a case study in collecting, warehousing, and analyzing field usage data from two language and culture learning environments, to understand what happened when they were deployed. A data warehousing system, Hoahu, was used to process the raw data and transform it into a relational database to facilitate queries and analysis. The system also supported data annotation by subject matter experts to facilitate comparison of automated assessments against human raters. Errors and inconsistencies in the data were identified and corrected. The resulting data warehouse has proven valuable for understanding the trajectory of learning over extended periods of time and analyzing the strengths and weaknesses of complex interactive subsystems such as spoken dialog systems.
机译：部署智能辅导系统时，应该期待意外。本文介绍了在两种语言和文化学习环境中收集，仓储和分析现场使用数据的案例研究，以了解在部署时发生的事情。数据仓库系统，Hoahu，用于处理原始数据并将其转换为关系数据库，以方便查询和分析。该系统还支持主题专家的数据注释，以促进对人类评估者自动评估的比较。识别和纠正数据中的错误和不一致。由此产生的数据仓库已经证明了了解在延长的时间段内学习的轨迹，并分析复杂互动子系统的优势和弱点，如口语对话系统。

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