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Название: Advanced Analytics and Deep Learning Models

Автор: Группа авторов

Издательство: John Wiley & Sons Limited

Жанр: Программы

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isbn: 9781119792413

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      Artificial Intelligence in Language Learning: Practices and Prospects

       Khushboo Kuddus

       School of Humanities (English), KIIT Deemed to be University, Bhubaneswar, Odisha, India

       Abstract

      Keywords: Artificial intelligence, intelligent computer-assisted language learning, natural language processing, networked learning, English language teaching, pedagogies, digital tools

      English language is one of the universal languages these days. It is not only the language of science, technology, higher education, aviation, travel, and tourism but also the language of the internet and information technology. There have been unprecedented changes in the field of English teaching and learning with the continuous advancement in Information Communication Technology (ICT) [1, 2]. The rapid advancement of technology has had a significant impact on the field of education, particularly language acquisition and teaching. The enormous development of technology has remarkably affected the field of education and especially language learning and teaching. The adoption of ICT with the present day technical trends in language teaching is extraordinary [3]. The teaching and learning has been made easier, active, personalized, authentic, and effective by integrating ICT in second language acquisition or foreign language learning. It has also resulted in a paradigm shift in the teaching and learning process, as well as changes in teachers’ roles [4].

      The importance of application of technology in second language learning was realized long back in 1930s which gave rise to the emergence of Computer-Assisted Language Learning (CALL) which was initially used only for the drilling exercises. Later, with the advancement of technology, CALL became more interactive using multimedia and Language Laboratory. Moreover, in the 21st century, the social dimensions of ICT expanded with the exponential growth of ICT which led to revitalization of CALL in the form of Web 2.0 tools, Mobile-Assisted Language Learning (MALL), and Network Learning (NL) and, later, the Intelligent CALL (ICALL) [5]. Having said that, it is the implication of Artificial Intelligence (AI) in Language Learning along with Computational Linguistics, Machine Learning, and Natural Language Processing (NLP).

      Technology has become an integral part of our lives. Its presence is ubiquitous right from the time we wake up till the time we sleep in various forms like alarms, smart phone, smart TV, smart AC, laptop, tablet, Whats App, You Tube, and many others. Technology has become so prevalent in every sector and at every level of education that it is impossible to imagine one’s existence without it in any form. The majority of language learners around the world today use technology to access materials in their second and foreign languages, communicate with people all over the world, learn at their own pace, and take several language tests such as the TOEFL and IELTS [10–12]. Technology helps us get connected with anyone at any part of the world and so the language learners can easily get connected to larger connected networks of native language speakers where they can learn a language by getting directly exposed to the target language. Hence, it would not be wrong to say that the significant development of ICT has changed the way we understand learning and consequently has led to a shift from traditional approaches to teaching to networked teaching and СКАЧАТЬ