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Multiple-choice question generation with auto-generated distractors for computer-assisted educational assessment

机译：具有自动生成的干扰器的多项选择问题，用于计算机辅助教育评估

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摘要

Multiple-choice questions (MCQs) are used as instrumental tool for assessment, not only in various competitive examinations but also in contemporary information and communications Technology (ICT)-based education, active learning, etc. Therefore, automatic generation of multiple-choice test items from text-based learning material is a truly demanding task in computer aided-assessment. A lot of systems were developed in the past two decades for this purpose, but the system generated questions have failed to satisfy the needs of computer-based automated assessment. As a consequence, this is still an open area of research in education technology and natural language processing. This article presents an automated system for generating multiple-choice test items with distractors. The system first selects informative sentences using the topic-words or keywords (one or more words). The best keyword from a selected sentence is chosen as an answer key. Next, the system eliminates the answer key from this sentence and transforms it into a question-sentence (stem). The wrong options or distractors are generated automatically using a feature-based clustering approach, without using any external information or knowledge-base. The result highlights the efficiency of the proposed system for generating MCQs with distractors.
机译：多项选择题（MCQ）用作评估的乐器工具，不仅在各种竞争考试中，而且还用于当代信息和通信技术（ICT）的教育，积极学习等，因此，自动生成多项选择测试基于文本的学习材料的项目是计算机辅助评估中真正苛刻的任务。为此目的，在过去二十年中开发了许多系统，但系统生成的问题未能满足基于计算机的自动评估的需求。因此，这仍然是教育技术和自然语言处理的开放式研究领域。本文介绍了一种自动化系统，用于生成具有患者的多项选择测试项目。系统首先使用主题单词或关键字（一个或多个单词）选择信息句子。从选定句子中选择最佳关键字作为答案密钥。接下来，系统从此句子中消除了答案密钥，将其转换为问题句（Stew）。错误的选项或扰乱器是使用基于特征的群集方法自动生成的，而无需使用任何外部信息或知识库。结果突出了所提出的系统的效率，以产生具有分散的人的MCQ。

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