Developing an Argument Learning Environment Using Agent-Based ITS (ALES)
Safia Abbas, Hajime Sawamura · Educational Data Mining · 2009
This paper presents an agent-based educational environment to teach argument analysis (ALES). The idea is based on the Argumentation Interchange Format Ontology (AIF) using Walton Theory. ALES uses difierent mining techniques to manage a highly structured arguments repertoire. This repertoire was designed, developed and implemented by us. Our aim is to extend our previous framework proposed in (3) in order to i) provide a learning environment that guides student during argument learning, ii) aid in improving the student's argument skills, iii) reflne students' ability to debate and negotiate using critical thinking. The paper focuses on the environment development specifying the status of each of the constituent modules.