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Support ing the Review of Student Proposal Drafts in Information Technologies

机译:支持对信息技术学生提案草案的审核

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In many cases, academic programs or courses conclude with a thesis or research proposal text, elaborated by students. The review of such texts is a heavy load, especially at initial stages of drafting. This paper proposes a model that allows linguistic and structural review of some essential elements in proposal drafts of undergraduate students. The model aims to support the review from vocabulary to the argumentation in the draft, and is part of an intelligent tutor to monitor student progress. This work presents the initial results in terms of lexical and global coherence analysis of proposal drafts of students. Lexical analysis is done in terms of lexical density, lexical diversity, and sophistication. Global coherence is evaluated using the Latent Semantic Analysis technique. Our results show that the level reached so far by the analyzer is adequate to support the review, taking into account for one section the level of agreement with human reviewers.
机译:在许多情况下,学术课程或课程以论文或研究建议书结尾,由学生精心设计。对此类案文的审查非常繁重,尤其是在起草初期。本文提出了一个模型,该模型允许对本科生的提案草稿中的某些基本要素进行语言和结构上的审查。该模型旨在支持从词汇到草稿中的论证的复习,并且是监督学生进度的智能导师的一部分。这项工作提出了对学生的建议草案进行词汇和全局一致性分析的初步结果。词汇分析是根据词汇密度,词汇多样性和复杂性来进行的。使用潜在语义分析技术评估整体一致性。我们的结果表明,到目前为止,分析人员达到的水平足以支持审阅,并考虑到与人类审阅者达成的协议水平只有一个部分。

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