A Question Answering System Approach for Collaborative Learning

Wang, Chun-Chia; Hung, Jason C.; Yang, Chia‐Ning; Chang, Hsuan-Pu

doi:10.1109/cscwd.2006.253045

“…In this application learners can attach their question to the group when they want to collaborate with others, and the teacher providing answers to them. In this case, the collaborative between the students and the teacher to gain knowledge, and becomes question answering system like a virtual teacher [7] [14]. In this paper, we proposed question answering system for an effective collaborative learning.…”

Section: Related Workmentioning

confidence: 99%

“…Also, student can access the topic question more clearly through the link provided. Such as [7], if no any information from Wikipedia comparing with neither student answer, nor the student is satisfied with any the answers (no proper match from the knowledge base), and then the teacher will answer or might be sent to the student. After the teacher manually answer the question, the new Q&A set is formed and entered into the question answering knowledge base.…”

Section: A Proposed Question Answering Systemmentioning

confidence: 99%

“…However, interaction students and a teacher address a problem, the teacher cannot constantly online every time, and it is not possible for the teacher to deal with lots of question from students all the time and in a timely manner. In the collaborative learning, students are encouraged to ask question [7]. Therefore, there is a need to describe an automated Q and A system to support learning efficiency of collaborative learning.…”

Section: Introductionmentioning

confidence: 99%

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Question Answering System for an Effective Collaborative Learning

Arai¹,

Handayani²

2012

IJACSA

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Abstract-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. Interaction between the students also student with the teacher is important for student to gain knowledge. Based on the four basic teaching styles formal authority, demonstrator or personal model, facilitator and delegator, today combined between facilitator and delegator style is responsible for student learning. It is student centered and the teacher as facilitates the material and activities, but learning becomes part of valuable and effective when they collaborate with each other, and as the teacher who will delegates and facilitates the responsibility of learning to the students. In this paper, we introduce an effective question answering Q&A system for collaborative learning, which can act not just like a virtual teacher, but also virtual discussion for student. With the proposed system, brings a new Q&A system, student can attach their question when they want collaborate using collaborative learning capitalize on one another's resources and skills. Students can ask their questions to the group when they want to collaborate with others, asking one another for information, evaluating one another's ideas, then each of the answer will compare with encyclopedia data base. In this research, the Q&A system for the Senior High School in Indonesia, in this subject of Information Communication Technology implemented. From the the 40 question and 120 answer, the result is 90,48% precision 50% recall.

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“…An application of question answering system for collaborative learning has been designed. [7] Wang et al (2006) proposes a semantic-based automated question-answering system that responds to online questions of students. Their method can solve the problem of low interaction degree between students and instructor to gain knowledge.…”

Section: Related Workmentioning

confidence: 99%

Question Answering for Collaborative Learning with Answer Quality Predictor

Arai

¹

,

Handayani²

2013

IJMECS

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Abstract-The increasing advances of InternetTechnologies 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.

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“…The problem is sometimes the answer chosen by student as the best answer is not necessarily the best quality answer. The decision of an asker is influenced by subjective reasoning such as the relations between students, the asker's own point of view, his lack on the subject and others [7]. Therefore, an automatic recommender system may improve these situations as it will choose the best answer objectively.…”

Section: Introductionmentioning

confidence: 99%

Predicting Quality of Answer in Collaborative Question Answer Learning

Arai¹,

Handayani²

2014

IJARAI

0

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Abstract-Studies over the years shown that students had actively and more interactively involved in a classroom discussion to gain their knowledge. By posting questions for other participants to answer, students could obtain several answers to their question. The problem is sometimes the answer chosen by student as the best answer is not necessarily the best quality answer. Therefore, an automatic recommender system based on student activity, may improve these situations as it will choose the best answer objectively. On the other side, in the implementation of collaborative learning, in addition to sharing information, sometimes students also need a reference or domain knowledge which relevant with the topic. In this paper, we proposed answer quality predictor in collaborative question answer (CQA) learning, to predict the quality of answer either from recommender system based on users activity or domain knowledge as reference information.

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A Question Answering System Approach for Collaborative Learning

Cited by 4 publications

References 6 publications

Question Answering System for an Effective Collaborative Learning

Question Answering System for an Effective Collaborative Learning

Question Answering for Collaborative Learning with Answer Quality Predictor

Predicting Quality of Answer in Collaborative Question Answer Learning

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