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Automation related to professor evaluation

机译:与教授评估有关的自动化

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摘要

Over the years, after conducting examinations, there comes a crucial task of paper checking and evaluation which has to be done precisely, in time and even-handed. Although this process has been computerized for multiple choice questions; for long answers, it still has to be done manually. Furthermore, with addition of new courses, there is a need of new model answers to the wide range of questions being asked. To address aforementioned issues effectually, this paper presents an approach which allows users to interact with paper documents, books and answer sheets etc. and to evaluate performance based on keywords harmonized with a predefined adaptive database, by using electronic devices like Desktops, Laptops, Xerox machines, Mobile phones and Tablet Computers. The application would consist of query terms, error-grams, and correction rules to create search-able keywords to be matched with text processed from documents. Time taken for the whole process and the manpower required for paper checking will reduce radically as well as. Moreover, mobile phone cameras now are widely being used as scanners. As demand flourish for mobile phone applications, the research developed for scanned documents, is shifting focus to text recognition embedded in digital photographs.
机译:多年来,在进行检查之后,出现了一项关键的纸质检查和评估任务,该任务必须准确,及时且均等地完成。尽管此过程已针对多项选择题进行了计算机化处理;对于较长的答案,仍然必须手动完成。此外,除了增加新课程外,还需要新的模型答案来回答所提出的广泛问题。为了有效解决上述问题,本文提出了一种方法,该方法允许用户与电子文档,书籍和答题纸等进行交互,并通过使用台式机,笔记本电脑,施乐等电子设备,根据与预定义的自适应数据库协调的关键字来评估性能。机器,手机和平板电脑。该应用程序将由查询词,错误语法和更正规则组成,以创建可搜索的关键字,以与从文档中处理的文本进行匹配。整个过程所花费的时间和纸张检查所需的人力也将大大减少。而且,移动电话照相机现在被广泛用作扫描仪。随着对移动电话应用的需求旺盛,针对扫描文档而进行的研究正在将重点转移到嵌入在数字照片中的文本识别上。

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