ALES: An innovative argument-learning environment
Safia Abbas, Hajime Sawamura · Institutional Repositories DataBase (IRDB) · 2010
The paper presents the development of an intelligent tutoring environment for argument learning (ALES). It uses different mining techniques to manage a highly structured arguments repository. The repository was designed, developed and implemented by us [1,2]. ALES aims to i) guide the students during argument learning, ii) offer an argument classifier agent that retrieves the most relevant results to the subject of search.