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

被引:7
作者
Das, Bidyut [1 ]
Majumder, Mukta [2 ]
Phadikar, Santanu [3 ]
Sekh, Arif Ahmed [4 ]
机构
[1] Haldia Inst Technol, Haldia, India
[2] Univ North Bengal, Siliguri, India
[3] Maulana Abul Kalam Azad Univ Technol, Kolkata, W Bengal, India
[4] XIM Univ, Bhubaneswar, India
关键词
Computer-assisted learning; Multiple-choice question; Distractor generation; Unsupervised clustering; Computer-aided assessment; AUTOMATIC-GENERATION;
D O I
10.1007/s11042-021-11222-2
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
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.
引用
收藏
页码:31907 / 31925
页数:19
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