A Generation System of Multiple Choice Questions Using Idioms with Multiple Component Keywords
-
2018-08-29 https://doi.org/10.14419/ijet.v7i3.33.21024 -
automatic question generation system, dynamic question generation system, multiple choice questions, natural language processing, question generation, semantic role labels -
Abstract
In order to alleviate the burden for the time-consuming and tedious tasks to make multiple choice questions, we proposed the system that generates multiple choice questions from the sentence with multiple component keywords and then relocates the questions selected by an array with random numbers instead of random functions in order to reduce the relocation time, after the system searches for the group of informative sentence with multiple component keywords by using special idioms. In this paper, the idiom is the CRm type idiom that has several components at the right side of this idiom including in a main informative sentence. The next sentences consist of other informative sentences including the components keywords. To make multiple choice questions, the system randomly selects an informative sentence including a component keyword and it also converts the informative sentence into a question. The selected component keyword is used as the correct answer and the three other component keywords are used as distractors. To produce many different questions about the same contents with different positions of the question and items, the system uses a random number array to reduce the relocation time.
Â
Â
-
References
[1] Lee JY (2016), Dynamic relocation of true-false questions using ready-made arrays with random numbers. International Journal of Software Engineering and Its Applications, Vol.10, No.8, 91-100.
[2] Correia R, Baptista J, Eskenazi M & Mamede N (2012), Automatic generation of cloze question systems. In Computational Proceeding of the Portuguese Language, Springer-Verlag Berlin Heidelberg, 168-178.
[3] Lee J & Kim B(2017), A dynamic group relocation of the cloze questions with multiple component keywords. Advanced Science Letters, Vol.3, No.10, 10284-10288.
[4] Gierl MJ & Lai H (2012), Using automatic item generation to create multiple choice test items. Medical Education. Blackewll Publishing, Vol.46, 757-765.
[5] Alsubait T, Parsia B & Sattler U (2014), Generating multiple choice questions from ontologies:lessons learnt. The Scientific World Journal, 1-11.
[6] Fattoh IE (2014), Automatic multiple choice question generation system for semantic attributes using string similarity measures. Computer Engineering and Intelligent Systems, Vol.5, No.8, 66-73.
[7] Majumder M & Saha SK (2015), A system multiple choice questions: with a novel approach for sentence selection. Proceedings of the 2nd Workshop on Natural Language Proceeding Techniques for Educational Applications, 64-72.
[8] Majumder M & Saha SK (2015), Automatic selection of informative sentences: The sentences that can generate multiple choice questions. Knowledge Management & E-Learning: An International Journal, 2015;Vol.6, No.4, 377-391.
[9] Dryver A (2009), The Enhancement of Testing Materials for Applied Statstics Courses by Combining Random Number Generation and Portable Document Format Files via LATE. Journal of Statistical Software, Vol.31, No.3, 1-9.
[10] Jamail N & Sultan A (2010), Shuffling Algorithms for Automatic Generator Question Paper System. Computer and Information Science, Vol.3, No.2, 244-248.
-
Downloads
-
How to Cite
Lee, J.-Y., & ., . (2018). A Generation System of Multiple Choice Questions Using Idioms with Multiple Component Keywords. International Journal of Engineering & Technology, 7(3.33), 257-262. https://doi.org/10.14419/ijet.v7i3.33.21024Received date: 2018-10-05
Accepted date: 2018-10-05
Published date: 2018-08-29