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

• Published in: Journal of language and cultural education Vol. 7; no. 3; pp. 135 - 153
• Main Author: Pokrivcakova, Silvia
• Format: Journal Article
• Language: English
• Published: Sciendo 01.12.2019
• Subjects: adaptive learning; artificial intelligence; foreign language education; machine learning; personalised language learning
• ISSN: 1339-4584; 1339-4584
• DOI: 10.2478/jolace-2019-0025

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.