Preparing teachers for the application of AI-powered technologies in foreign language education

By S. Pokrivčáková. Journal of Language and Cultural Education, 2019

396 citations recorded by the source corpus.

Abstract As any other area of human lives, current state of foreign language education has been greatly influenced by the latest developments in the modern information communication technologies. The paper focuses specifically on the incorporation of artificial intelligence (AI), which includes a wide range of technologies and methods, such as machine learning, adaptive learning, natural language processing, data mining, crowdsourcing, neural networks or an algorithm, into foreign language learning and teaching. First, the paper is concerned with changes brought to foreign language education specifically through the application of AI-powered tools and discusses ICALL (intelligent computer assisted language learning) as a subset of CALL. Second, it summarizes eight types of AI-powered tools for foreign language education and related results of the existing research, however scarce it is. Third, it discusses the frame for effective preparation of foreign language teachers in order to integrate AI-powered tools into their teaching to make it easier, less time-consuming and more effective. The author argues for reconsideration of the existing frames of requirements for CALL teachers.

Subfields: Artificial Intelligence, Education, Information Systems

View Paper: https://www.semanticscholar.org/paper/55025d2119f6cae223e68a69796a654f0749a970

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

  1. Louisa H.Y. Tsi
  2. Gwo-Jen Hwang
  3. Cecilia Ka Yuk Chan

In Education

  1. Cecilia Ka Yuk Chan
  2. Gwo-Jen Hwang
  3. Louisa H.Y. Tsi

In Information Systems

  1. Cecilia Ka Yuk Chan
  2. Gwo-Jen Hwang
  3. Louisa H.Y. Tsi
  4. Jaclyn Broadbent

Citations in the corpus