Conceptual artificial intelligence framework to improving English as second language

Aminah F. D. M. F. Almutairi, Alexander Gegov, Mo Adda, Farzad Arabikhan

Research output: Contribution to journalArticlepeer-review

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Abstract

English has become a global language in modern day world. It is widely spoken among the non-native English communities as well. However, due to the lack of resources, such as, teaching literature and skilled English teachers, the teaching of English language becomes inefficient. Educational institutions and non-native English students are equally affected by these problems. In order to efficiently cope with the aforementioned issues, we propose an AI-based English learning framework. The proposed AI-based framework combines the previously proposed algorithms and other newly developed techniques to enhance the language learning. The proposed framework enables the individual learners to interact with the framework for improving and enhancing the process of learning English language. In addition, the proposed system has the capability to effectively cope with the lack of resources available to the educational institutes providing English learning courses. In addition, we also perform data collection and develop new modules that are integrated in the proposed framework. We assess the proposed framework by allowing a group of participants to learn English language. These participants are non-native speakers from a foreign land. The results make it evident, that the proposed framework assists the students in learning English as a foreign language.
Original languageEnglish
Pages (from-to)87-91
Number of pages5
JournalWSEAS Transactions on Advances in Engineering Education
Volume17
DOIs
Publication statusPublished - 22 Jul 2020

Keywords

  • language-learning
  • education
  • intelligent tutoring systems
  • styling
  • artificial intelligence

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