Question Answering for Collaborative Learning with 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: 14 Feb. 2013 / Revised: 6 Mar. 2013 / Accepted: 11 Apr. 2013 / Published: 8 May 2013

Index Terms

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


The increasing advances of Internet Technologies in all application domains have changed life styles and interactions. With the rapid development of E-Learning, collaborative learning is an important for teaching, learning methods and strategies. Studies over the years shown that students had actively and more interactively involved in a classroom discussion to gain their knowledge. Students can ask their questions to the classroom discussion when they want to collaborate with others, asking one another for information, evaluating one another’s ideas. Therein, the activity allowing one question has many answer or information that should be selected. Every answer has a weighting and its very subjective to select it. In this paper, we introduce question answering for collaborative learning with answer quality predictor. By using answer quality predictor the quality of the information could be determined. Through the process of collaborative learning, the 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, "Question Answering for Collaborative Learning with Answer Quality Predictor", International Journal of Modern Education and Computer Science (IJMECS), vol.5, no.5, pp.12-17, 2013. DOI:10.5815/ijmecs.2013.05.02


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