Author(s)

Yunfei Du

Corresponding Author

Yunfei Du

ABSTRACT

Artificial Intelligence is widely developed and adopted in language learning over the last decade. In order to track and evacuate the hot spots for AI in language learning, CiteSpace, a bibliometric software, was launched to accomplish the co-citation analysis based on the datebase retrieved from Web of Science. The results firstly indicate that neural network is a dominant method in language learning, training machine to learn, read, write, listen, speak, and assess, while other technologies including user modeling, intelligent language tutoring, automated scoring, and data mining made AI applicable in this chosen field. Secondly, the influences that AI exerted mainly concentrate on such prominent scenarios as the transformation of personalized and adapted mobile learning and data-driven learning, the construction of authentic and motivated virtual worlds, and the reinforcement of intelligence aided reading and writing. Finally, the main target language that AI applied with is English, especially learning English as second language.

KEYWORDS

Artificial intelligence, Language learning, Bibliometric analysis, Citespace