Abstract
Given a discussion topic, students may sometimes not proceed with their argumentation. Can questions which are semantically related to a given discussion topic help students develop further arguments? In this paper, we introduce a technical approach to generating questions upon the request of students during the process of collaborative argumentation. The contribution of this paper lies in combining different NLP technologies and exploiting semantic information to support users develop their arguments in a discussion session via tailored questions of different types.
Highlights
In a constructivist learning environment, students are usually asked to solve an authentic problem
In order to generate questions related to a discussion topic automatically, two question areas need to be addressed: 1. What are the important concepts of discussion topic? How can a question generation system recognize and extract them? Where can the question generation system retrieve information related to the important concepts extracted from discussion topic? The first contribution of this paper is the proposition of an approach to answer
How can a question generation system use the extracted information to generate questions which have the intention of helping participants of an argumentation session expand their argumentation? The second contribution of this paper is to propose a question generation approach which makes use of semantic information available on WordNet and consists of the following steps:
Summary
In a constructivist learning environment, students are usually asked to solve an authentic problem. LASAD is a constructivist learning environment in which students discuss about a given topic [2]. This web-based collaborative argumentation system provides tools for supporting collaborative argumentation. In order to generate questions related to a discussion topic automatically, two question areas need to be addressed: 1. Where can the question generation system retrieve information related to the important concepts extracted from discussion topic? The second contribution of this paper is to propose a question generation approach which makes use of semantic information available on WordNet and consists of the following steps:. In order to illustrate the semantics-based question generation approach in this paper, we will use the computer-supported collaborative argumentation system LASAD and the natural language English as a study case
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