Investigating the (non) -Impact of Customizing Knowledge Bases of Artificial Intelligence -Driven Robot on Language for Specific Purposes Learning

Artificial Intelligence which promotes augmentation of social humanoid robots is influencing academic and professional lives. Chatbots have flourished in language classrooms of higher education; that is, real conversations proceed in target language learning. Knowledge bases, as the core of Artificial Intelligence, are the point of departure for learning Language for Specific Purposes. As such, Artificial Intelligence-driven robots show great promise for reproducing factual entities. However, scarce attention has been devoted to the idea of customizing knowledge bases in classrooms of English-as-a-Foreign Language universities. This interventional study investigates the probable impact of customized Artificial Intelligence-driven robots in learning Language for Specific Purposes by collecting data through a parallel design among ۵۹۶ collegiate students from five countries. The findings revealed that customized Artificial Intelligence-driven robots were sound channels of communication in learning university English skills. This study presents the theoretical underpinnings of Artificial Intelligence-driven robots for learning Language for Specific Purposes, describes the employed Artificial Intelligence module, presents procedure, as well as findings and implications.

Keywords:

artificial intelligence , knowledge base , robot , language for specific purposes