Collaborative Question Answering System Using Domain Knowledge and Answer Quality Predictor

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Kohei Arai 1,* Anik Nur Handayani 2

1. Information Science, Saga University – Japan

2. Electrical and Information Technology, State University of Malang – Indonesia

* Corresponding author.


Received: 12 Jul. 2013 / Revised: 26 Aug. 2013 / Accepted: 2 Oct. 2013 / Published: 8 Nov. 2013

Index Terms

E-Learning, Collaborative Learning, Question Answer, Domain Knowledge, Answer Quality Predictor.


With the rapid development of E-Learning, collaborative learning is important for teaching, learning methods and strategies. Studies over the years shown that students had actively and interactively involved in a classroom discussion to gain their knowledge. Collaborative learning is able to accommodate the situation, where student can exploit and share their resources and skills by asking for information, evaluating, monitoring one another’s information and idea. Therein, the activity allowing one question has many answer or information that should be selected. Every answer has a weighting and very subjective to select. In this paper, we introduce question answering for collaborative learning with domain knowledge and answer quality predictor. By using answer quality predictor, the quality of answers could be determined. On the other side, domain knowledge could be used as knowledge about the environment in which the target information operates as a reference. Through the process of collaborative learning, the usage knowledge base will be enriched for future question answering. Further, not only the student could get answers form others but also provided by the system.

Cite This Paper

Kohei Arai, Anik Nur Handayani, "Collaborative Question Answering System Using Domain Knowledge and Answer Quality Predictor", International Journal of Modern Education and Computer Science (IJMECS), vol.5, no.11, pp.21-27, 2013. DOI:10.5815/ijmecs.2013.11.03


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