Abstract
Traditional EFL (English as a foreign language) learners could find it difficult to practice speaking after class and obtain effective feedback. With the development of technology, chatbot could be one solution to tackle this dilemma. Employing the chatbot Microsoft Xiaoying as the main tool in a teaching experiment, this study aimed at figuring out whether using chatbot in oral English practice would exert a positive effect on learners’ oral English performance in grammar and pronunciation aspects. By analyzing the collected data, the results showed that: daily practice with chatbot could be suggested as part of oral English practice as it was proved to be effective on promoting learners’ oral English accuracy.
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References
Bii, P., Too, J., Langat, R.: An investigation of student’s attitude towards use of chatbot technology in instruction: the case of Knowie in a selected high school. Educ. Res. 4(10), 710–716 (2013)
Brennan, K.: The managed teacher: Emotional labour, education, and technology. Educ. Insights 10(2), 55–65 (2006)
Colace, F., De Santo, M., Lombardi, M., Pascale, F., Pietrosanto, A., Lemma, S.: Chatbot for e-learning: a case of study. Int. J. Mech. Eng. Robot. Res. 7(5), 528–533 (2018)
Cucchiarini, C., Strik, H.: Second language learners’ spoken discourse: practice and corrective feedback through automatic speech recognition. In: Khosrow-Pour, M. (eds.) Smart Technologies: Breakthroughs in Research and Practice, pp. 367–389 (2018)
Fryer, L., Carpenter, R.: Bots as language learning tools. Lang. Learn. Technol. 10(3), 8–14 (2006)
Fryer, L.K., Nakao, K., Thompson, A.: Chatbot learning partners: connecting learning experiences, interest and competence. Comput. Hum. Behav. 93, 279–289 (2019)
Haristiani, N.: Artificial intelligence (AI) chatbot as language learning medium: an inquiry. J. Phys.: Conf. Ser. 1387, 012020 (2019)
Jia, J.: The study of the application of a web-based chatbot system on the teaching of foreign languages. In: Society for Information Technology & Teacher Education International Conference, pp. 1201–1207 (2004)
Jia, J., Chen, W.: Motivate the learners to practice English through playing with Chatbot CSIEC. In: Pan, Z., Zhang, X., El Rhalibi, A., Woo, W., Li, Y. (eds.) Edutainment 2008. LNCS, vol. 5093, pp. 180–191. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-69736-7_20
Jia, J., Ruan, M.: Use chatbot CSIEC to facilitate the individual learning in English instruction: a case study. In: Woolf, B.P., Aïmeur, E., Nkambou, R., Lajoie, S. (eds.) ITS 2008. LNCS, vol. 5091, pp. 706–708. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-69132-7_84
Liu, X., Zhu, C., Jiao, J., Xu, M.: Promoting English pronunciation via mobile devices-based automatic speech evaluation (ASE) technology. In: Cheung, S.K.S., Kwok, L., Kubota, K., Lee, L.-K., Tokito, J. (eds.) ICBL 2018. LNCS, vol. 10949, pp. 333–343. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-94505-7_27
Li, Y., Ming, S.: Reflections on EFL speaking researches in china during the past decade. Zhongguo Waiyu, pp. 85–91 (2010)
Lee, S., et al.: On the effectiveness of robot-assisted language learning. ReCALL 23(1), 25–58 (2011)
Kim, H., Shin, D.K., Yang, H., Lee, J.H.: A study of AI chatbot as an assistant tool for school English curriculum. J. Learn.-Centered Curric. Instr. 19(1), 89–110 (2019)
Shawar, B.A.: Integrating CALL systems with chatbots as conversational partners. Computacióny Sistemas 21(4), 615–626 (2017)
Wang, Y.H., Young, S., Jang, J.: Using tangible companions for enhancing learning English conversation. J. Educ. Technol. Soc. 16, 296–309 (2013)
Liu, J.J.: The talk-to-machine method used in teaching speaking English in college. Comput.-Assist. Foreign Lang. Educ. China 2002(1), 15–17 (2002)
Yuan, F., Ellis, R.: The effects of pre-task planning and online planning on fluency, complexity and accuracy in L2 monologic oral production. Appl. Linguis. 24(1), 1–27 (2003)
Zakos, J., Capper, L.: CLIVE–an artificially intelligent chat robot for conversational language practice. In: Darzentas, J., Vouros, G.A., Vosinakis, S., Arnellos, A. (eds.) Artificial Intelligence: Theories, Models and Applications. LNCS, vol. 5138, pp. 437–442. Springer, Berlin (2008). https://doi.org/10.1007/978-3-540-87881-0_46
Ting, S.H., Mahanita, M., Chang, S.L.: Grammatical errors in spoken English of university students in oral communication course. GEMA: Online J. Lang. Stud. 10(1), 53–70 (2010)
Rowland, C.F.: Explaining errors in children’s questions. Cognition 104(1), 106–134 (2007)
Xu, Y., Zeng, Y.: How to deal with students’ pronunciation errors—a study based on the corpus of test-takers’ performance in the computer-based English listening and speaking test (CELST) of Gaokao (Guangdong Version). Curric. Teach. Mater. Method 35(9), 90–96 (2015)
Acknowledgements
This work is supported by the Center for Language Cognition and Assessment, South China Normal University. It’s also the result of Guangdong “13th Five-Year” Plan Project of Philosophy & Social Science (GD20WZX01-02).
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Ye, Y., Deng, J., Liu, X. (2021). The Effect of Oral Practice via Chatbot on Students’ Oral English Accuracy. In: Jia, W., et al. Emerging Technologies for Education. SETE 2021. Lecture Notes in Computer Science(), vol 13089. Springer, Cham. https://doi.org/10.1007/978-3-030-92836-0_30
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