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An automatic essay correction for an active learning environment

机译:主动学习环境中的自动作文更正

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In this paper, we describe and test a part of an active learning environment that is being used to engage and empower students' learning in a undergraduate engineering course. We developed a survey system, called Milsa, in order to insert questions and template answers, and to automatically correct the questions based on template answers. In Milsa, the students insert multiple questions and template answers, the questions aleatory distributed to multiple responses. Milsa was used as an assessment in a gamified discipline [1]. After the automatic correction of the questions, the students evaluate the responses. The correction algorithm in Milsa is based on LSA [2], on STASIS [3] and on Michalski's genetic algoritm [4]. The template answer is a tagged text: hyperonymy, hyponymy, meronymy and synonymy are marked. By the end the tests on are showed and evaluated.
机译:在本文中,我们描述并测试了主动学习环境的一部分,该环境用于吸引和增强学生对本科工程课程的学习。我们开发了一个名为Milsa的调查系统,目的是插入问题和模板答案,并根据模板答案自动更正问题。在米尔萨(Milsa)中,学生插入多个问题和模板答案,这些问题可以即时分配到多个答案中。 Milsa在游戏化学科中用作评估[1]。自动更正问题后,学生评估答案。 Milsa中的校正算法基于LSA [2],STASIS [3]和Michalski的遗传算法[4]。模板答案是带标签的文本:标记了同义词,下位字母,代名词和同义词。到最后,将显示并评估测试。

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