1 Kazan Federal University (RUSSIAN FEDERATION)
2 Liverpool John Moores University (UNITED KINGDOM)
About this paper:
Appears in: INTED2019 Proceedings
Publication year: 2019
Pages: 4257-4259
ISBN: 978-84-09-08619-1
ISSN: 2340-1079
doi: 10.21125/inted.2019.1067
Conference name: 13th International Technology, Education and Development Conference
Dates: 11-13 March, 2019
Location: Valencia, Spain
Artificial Intelligence (AI), although being opposed to the natural intelligence, has become a vital and, sometimes, an integral part of modern society. Nowadays we see that AI and its distinct features are being applied in the growing number of areas, both in industry and services, public healthcare and education. In this article we provide an analysis of the current state of AI technologies applied in the area of language teaching. The language teaching process requires an individual approach to every participant of the language class – at the current state of educational system, it is sometimes hard or even impossible for a teacher to provide a sufficient attention and support to every member of the class. It may result in negative quality of language teaching process. We believe that a broader use of modern technologies such as AI might help improve this situation. In this article we focus our attention on investigation of Natural Language Processing (NLP), Machine Learning (ML), and Learning Analytics (LA) in education, how it is being implemented in language teaching and what possible ways for improvement exist. We observe the current problems of NLP, ML, LA and artificial intelligence in general, from the perspective of natural languages. Based on that observation, we suggest how AI can improve the quality of language teaching process and what problems the current society needs to solve in order for AI to have fruitful impact on education.
Artificial Intelligence, Languages, Education, Analysis.