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The Development of Educational Robots for Vietnamese to Learn Chinese

Published: 18 July 2022 Publication History

Abstract

When the children of transnational marriages between Taiwanese and Vietnamese, due to their limited proficiency in Mandarin and Taiwanese dialects, they may face difficulties in knowledge, teacher-student communication, and peer relationships with their classmates. This study used Zenbo Junior to develop educational robots for Vietnamese students to learn Chinese, including how Vietnamese corresponds to Chinese, in order to enhance the interest of the second generation of new immigrants studying in Taiwan's elementary schools to learn Chinese, and thus, reduce the burden of elementary school teachers in educating Vietnamese students. Since the machine was provided for elementary school teachers and Vietnamese students, good results have been achieved. This Vietnamese-Chinese educational and test robot can be used as a tool for teachers to assist foreign students in language learning.

References

[1]
Li-Chun Chen. 2016. After a while, the foreign country becomes my home country. then what? – on the possibilities of language education development for new immigrants. Lang. Edu. Forum 10, 21-27.
[2]
Chen-Yi Yang. 2017. Taiwan's new southbound policy and cultivation of proficient language speakers of southeast Asian languages. Taiwan Int. Stu. Q. 13, 4 (December 2017), 143-174.
[3]
Ministry of Education (2017) The New Southbound Talent Development Program (2017-2020), 1-22.
[4]
Ya-Liang Chang. 2017. Suggestions for new-immigrant language teachers’ training: current implementation of education approach in Taiwan elementary schools. J. Educ. Res. 13, 1 (March 2017), 1-30.
[5]
Ministry of Education. 2014. Curriculum Guidelines of 12-Year Basic Education General Guidelines, 1-38.
[6]
Beverly A. Clark. 2000. First- and second-language acquisition in early childhood. In Proceedings of the Lilian Katz Symposium. Champaign, Illinois, 180-188.
[7]
OECD. 2018. The future of Education and skills Education 2030, Organization for Economic Co-operation and Development, 1-21.
[8]
Su-Hua Tsai. 2021. Exploring the new immigrants’ language education of the twelve-year compulsory education with the theory of revolution. Taiwan Edu. Rev. M. 10, 5 (2021), 120-126.
[9]
Aslıhan Selcen Bingöl. 2012. Mother tongue instruction policies towards Turkish migrant children in Europe. Procedia Soc. Behav. Sci. 70, 1016-1023.
[10]
Yi-Hsuan Lin and Chui-Ling Fan. 2015. Influences of including the languages of new immigrants from southeast Asia in curriculum guidelines of 12-year basic education on the children of these people. Taiwan Edu. Rev. M. 4, 6 (2015), 92-100.
[11]
Shaunna Grandish. 2008. Mother-tongue language education promoted. Wind speaker Contributor, 16.
[12]
Hsueh-Chien Chang. 2011. The Philosophy and Practice of Language Recovery: Collaboration among Family, Community, and School. New Taiwanese Cultural Foundation. Taichung, Taiwan.
[13]
Executive Yuan. 2018. Blueprint for Developing Taiwan into a Bilingual Nation by 2030, 1-10.
[14]
Sa-Hui Fan. 2020. Rethink bilingual education. Taiwan Educational Review Monthly 9, 10 (2020), 88-91.
[15]
Ministry of Education. 2020. Forward-looking Infrastructure - Talent Cultivation Promote Employment Construction - 2030 Bilingual National Policy, 1-26.
[16]
Department of Statistics, Ministry of the Interior. 2020. Data of Interior National Indicators in the Eight Week of 2020 (February 22, 2020), 1-4.
[17]
Bureau of Foreign Trade, Ministry of Economic Affairs. 2017a. The New Southbound Policy Service Guide, 1-111.
[18]
Bureau of Foreign Trade, Ministry of Economic Affairs. 2017b. The New Southbound Policy, 1-39.
[19]
Robert Godwin-Jones. 2016. Looking back and ahead: 20 years of technologies for language learning. Lang. Learn. Technol. 20, 2 (June 2016, 5-12.
[20]
Hui Ji. 2019. Language learning paradigm from the perspective of emerging technologies. Jianghan Acad. 38, 6 (2019), 111-119.
[21]
Yen-Feng Xu, Wei-Chun Zhang, and Rung Lien. 2019. Impact analysis of educational robots on children's language learning. Educ. Rev. 2019, 7 (2019), 8-13.
[22]
SSu-Yu Chen, Fu-Chun Huang, Wen-Chien Tseng, Nan Tung, Hsiao-Chi Wu, and Yu-His Tang. 2019. Robots can teach knowledge but not values? China Edu. Tech. 2019, 6 (2019), 29-35.
[23]
Shu-Mien Shih. 2020. My views on teacher images in education 4.0. Taiwan Edu. Rev. M. 9, 12 (2020), 51-55.
[24]
National Science Foundation. 2013. Tangible Programming in Early Childhood: Revising Developmental Assumptions through New Technologies. Retrieved February 27, 2020 from http://ase.tufts.edu/DevTech/tangiblek/
[25]
Fabiane Barreto VavassoriBenitti. 2012. Exploring the educational potential of robotics in schools: a systematic review. Comput. Educ. 58, 3 (April 2012), 978-988.
[26]
Yao Chang and Yun-Wu Wang. 2019. The research status and enlightenment of international educational robot—based on the visualized analysis of WOS periodical literature. Digit. Educ. 2019, 6 (2019), 72-79.
[27]
Lingqing Song and Lin Xu. 2019. The Logical starting point and boundary of artificial intelligence in education application—taking knowledge learning as an example. China Edu. Tech. 2019, 6 (2019), 14-20.
[28]
Takayuki Kanda, Takayuki Hirano, Daniel Eaton, and Hiroshi Ishiguro. 2004. Interactive robots as social partners and peer tutors for children: a field trial. Hum. Comput. Interact. 19, 1 (June 2004), 61–84.
[29]
Park S., Han J, Kang B, 2012. Teaching Assistant Robot, ROBOSEM, in English Class and Practical Issues for its Diffusion[EB/OL]. (2012- 09- 13) [2019-07-08]. Retrieved July 8, 2019 from https://ieeexplore.ieee. org/document/6301971/
[30]
Sungjin Lee, Hyungjong Noh, Kyusong Lee, and Jonghoon Lee. 2011. On the effectiveness of robot-assisted language learning. ReCALL, 2011, 1 (January 2011), 25-58.

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  • (2023)Using social robots for language learning: are we there yet?Journal of China Computer-Assisted Language Learning10.1515/jccall-2023-00133:1(208-230)Online publication date: 10-Jul-2023

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MSIE '22: Proceedings of the 4th International Conference on Management Science and Industrial Engineering
April 2022
497 pages
ISBN:9781450395816
DOI:10.1145/3535782
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 18 July 2022

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  • (2023)Using social robots for language learning: are we there yet?Journal of China Computer-Assisted Language Learning10.1515/jccall-2023-00133:1(208-230)Online publication date: 10-Jul-2023

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