A non-experts user interface for obtaining automatic diagnostic spelling evaluations for learners of the German writing system
A non-experts user interface for obtaining automatic diagnostic spelling evaluations for learners of the German writing system
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非专家用户界面，用于为德语书写系统的学习者获得自动诊断拼写评估
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
Kay Berkling
中科院分区：
文献类型：
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作者：
Kay Berkling
在德国，PISA 或 IGLU 等国际和国家比较研究表明，大约 20% 的学童在 15 岁时没有达到 PISA 识字阶段定义的最低能力水平。如此大量的学生不再能由课堂上的一名教师来支持。拟议的提交演示了一个 Web 应用程序，它允许非专家与高度复杂的底层算法进行交互，以便在几分钟内获得个性化的拼写诊断，并随着时间的推移跟踪错误配置文件。此外，使用该应用程序将收集大量数据，以支持目前尚不存在的书面语言习得长期研究。尽管本次会议没有配套论文，但之前发表的工作已经导致了这次演示。底层算法发表在 SLaTE 2011 [1] 上，有关有效数据显示的初步研究发表在 WOCCI 2012 [2] 上。
In Germany, international and national comparative studies such as PISA or IGLU have shown that some 20% of school children do not reach the minimal competence level as defined by PISA literacy stages by the age of 15. Such a large number of students can no longer be supported by a single teacher in a classroom. The proposed submission demonstrates a web application that allows non-experts to interact with highly complex underlying algorithms in order to obtain personalized spelling diagnosis in minutes and keep track of error profiles over time. Furthermore, usage of the application will result in a large data collection to support research on long-term studies of written language acquisition that do not yet exist in that form. Even though there is no companion paper at this conference, previous published work has lead up to this demonstration. The underlying algorithms were published at SLaTE 2011 [1] and prelimi-nary studies regarding effective data display were published at WOCCI 2012 [2].