DocumentCode :
259183
Title :
Towards Generating Multiple-Choice Tests for Evaluating Comprehension of Arbitrary English Texts
Author :
Okaku, Shinjiro ; Tomiura, Yoischi ; Kou Shu ; Tanaka, Shoji
Author_Institution :
Inf. Sci., Kyushu Univ., Fukuoka, Japan
fYear :
2014
fDate :
Aug. 31 2014-Sept. 4 2014
Firstpage :
220
Lastpage :
225
Abstract :
We develop a method for generating multiple-choice test for evaluating comprehension of an arbitrary English text and its answer to support more extensive reading in English. Our test consists of one sentence (a correct optional sentence) that is consistent with the selected English text and several sentences (distractor optional sentences) that are inconsistent with this text. Learners select one sentence consistent with the text from multiple optional sentences on reading the text. In our proposed method, the system extracts several important sentences from the text, and replaces at least one word in each of these sentences with its synonym (if possible). One of these sentences is then selected as the correct response, while further changes to the polarities or nouns in the remaining sentences are carried out to generate distractor sentences for the multiple-choice test. Our method has potential to improve the learning effect associated with extensive reading.
Keywords :
computer aided instruction; humanities; natural languages; text analysis; English reading; arbitrary English text comprehension evaluation; distractor optional sentences; learning effect; multiple-choice tests; text reading; Approximation methods; Educational institutions; Frequency measurement; Information science; Internet; Thesauri; Training data; Computer Aided Learning; Documents on Web; Extensive Reading; Important Sentence; Paraphrase;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Applied Informatics (IIAIAAI), 2014 IIAI 3rd International Conference on
Conference_Location :
Kitakyushu
Print_ISBN :
978-1-4799-4174-2
Type :
conf
DOI :
10.1109/IIAI-AAI.2014.54
Filename :
6913298
Link To Document :
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