ALES: An innovative argument-learning environment
نویسندگان
چکیده
This paper presents the development of an Argument-Learning System (ALES). The idea is based on the AIF (argumentation interchange format) ontology using “Walton theory”. ALES uses different mining techniques to manage a highly structured arguments repository. This repository was designed, developed and implemented by the authors. The aim is to extend the previous framework proposed by developing an intelligent tutoring environment for argument learning that aims to: (1) guide the students during argument learning; (2) aid in improving the students’ argument skills; and (3) offer an argument classifier agent that retrieves the most relevant results to the subject of search. This paper focuses on the environment development specifying the status of each of the constituent modules. (1. Graduate School of Science and Technology, Niigata University, Niigata 950-2181, Japan; 2. Institute of Natural Science and Technology, Niigata University, Niigata 950-2181, Japan)
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an Argument Learning Environment Using Agent-Based ITS (ALES)
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