Anik Nur Handayani

Work place: Electrical and Information Technology, State University of Malang – Indonesia

E-mail: handayani.aniknur@gmail.com

Website:

Research Interests: Engineering

Biography

Anik Nur Handayani received the B.E. degree in electronics engineering from Brawijaya University, and the M.S. degree in Electrical Engineering, from Institute of Technology Sepuluh Nopember, Surabaya, Indonesia, in 2004 and 2008, respectively. She is currently a PhD Student at Information Science in Saga University, Japan.

Author Articles
Collaborative Question Answering System Using Domain Knowledge and Answer Quality Predictor

By Kohei Arai Anik Nur Handayani

DOI: https://doi.org/10.5815/ijmecs.2013.11.03, Pub. Date: 8 Nov. 2013

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.

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Question Answering for Collaborative Learning with Answer Quality Predictor

By Kohei Arai Anik Nur Handayani

DOI: https://doi.org/10.5815/ijmecs.2013.05.02, Pub. Date: 8 May 2013

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.

[...] Read more.
Other Articles