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The Influential Role of Robot in Second Language Classes Based on Artificial Intelligence

Nguyen Truong Thinh, Nguyen Dao Xuan Hai, and Tuong Phuoc Tho
HCMC University of Technology and Education, Ho Chi Minh City, Vietnam

Abstract—In the fast development of technology, robot has played many vital roles in different fields of life. Robot is also used in education as a teaching assistant in arts, science and language course. In Viet Nam, the secondary schools or high schools spend a lot of money on hiring native speakers for teaching English classes. Currently, in most Asian countries where English is taught as a foreign language, therefore many various instructional methods are being used for teaching English at school as well as English Language Centers. As a result of this paper approach to English teaching robots, the use of robots like as foreign language instructors has been referred to as a robotic revolution in Industrial Revolution 4.0. In this study, we will describe applications of several robots have been conducting the English teaching instructors tutoring some extra-class’s programs in Viet Nam. The results shown the potentials of individualized interaction in language education are substantial. These performances give the positively contributions to improve of motivations of children studying English as well as other languages. This paper will show the effective tools for language education of robot. From experiments in reality, using robot being an instructor in English class has proven to enhance the language teaching for children effectively. The children, who learn English with an instructor like as robot have shown better learning results in speaking, as well as more confidence and much motivation in studying. 

Index Terms—teaching robot, robot classroom, artificial intelligence, fuzzy

Cite: Nguyen Truong Thinh, Nguyen Dao Xuan Hai, and Tuong Phuoc Tho, "The Influential Role of Robot in Second Language Classes Based on Artificial Intelligence," International Journal of Mechanical Engineering and Robotics Research, Vol. 9, No. 9, pp. 1306-1311, September 2020. DOI: 10.18178/ijmerr.9.9.1306-1311

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.