TagAssessment: Using tagging technology for learner assessment

A. Kardan, Mohammad Reza Fani Sani, R. Hosseini
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Abstract

Nowadays, with development of Information technology, using e-learning for higher quality of education has been increased. On the other hand with the emergence of Web 2.0 and high interest for using its technologies such as tagging, annotating and social networking caused to more users participation than before. In this regard, one of the most popular technologies is Tagging. Usually users used to place tags on the contents as a reminder in future. In this paper, a novel method is proposed to assess the learners' understandings. The mentioned method which is named TagAssessment computes the figure of relationship between the contents and the user's tags and utilizes the obtained results for learner assessment. In this regard, the semantic distance between the tags associated to the content, and the concepts covered by the same content is calculated using WordNet tree ontology. In the evaluation process, ninety learners were asked to place their tags on the contents related to a BSc course to create a data set for further evaluation. The obtained results showed that as the smaller the distance between the learners' tags and the contents are the better comprehension have been achieved.
TagAssessment:使用标记技术对学习者进行评估
如今,随着信息技术的发展,越来越多的人使用电子学习来提高教育质量。另一方面,随着Web 2.0的出现以及人们对使用其技术(如标记、注释和社交网络)的浓厚兴趣,用户的参与度比以前更高。在这方面,最流行的技术之一是标签。通常用户习惯在内容上放置标签,作为将来的提醒。本文提出了一种评估学习者理解程度的新方法。所提到的方法被称为TagAssessment,它计算内容与用户标签之间的关系图,并利用得到的结果对学习者进行评估。在这方面,使用WordNet树本体计算与内容相关的标签与同一内容所涵盖的概念之间的语义距离。在评估过程中,90名学习者被要求将他们的标签放在与理学士课程相关的内容上,以创建一个数据集,供进一步评估。结果表明,学习者标签与内容之间的距离越小,理解效果越好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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