Abstract
Based on the theory of L2 Motivational Self System, the English Learning Motivation Questionnaire is used in this research to investigate the factors, characteristics and specific content of 212 Chinese college students’ L2 Motivational Self System in the context of artificial intelligence-based language learning. The findings of this research are the following: L2 Motivational Self System contains three factors Ideal L2 Self, Ought-to L2 Self, and L2 Learning Experience; Ideal L2 Self is dominant in the students’ L2 Motivational Self System; Ideal L2 Self contains two factors: Ideal L2 Communicator and Ideal L2 User; Ideal L2 User is significantly higher than Ideal L2 Communicator; artificial intelligence-based language learning promotes learners’ communicative vision, translation and written language communication expectations, and initiative for language learning. The research further proposes to rationally guide the formation of learners’ Ideal L2 Self, and use the oral training, machine translation and adaptive learning system provided by artificial intelligence technology to generate and maintain college students’ language learning motivation.
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Acknowledgment
This project is supported by supported by Humanities and Social Science Research Project of Hubei Provincial Department of Education (QSY17007), Special Fund of Cultivation Project for Basic Scientific Research of Central Universities (CSP17028) and Teaching Research Project of South-Central University for Nationalities (Jyx16033).
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Ma, J., Dong, P. (2021). Chinese College Students’ L2 Motivational Self System in the Context of Artificial Intelligence. In: Hu, Z., Petoukhov, S., Dychka, I., He, M. (eds) Advances in Computer Science for Engineering and Education IV. ICCSEEA 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 83. Springer, Cham. https://doi.org/10.1007/978-3-030-80472-5_34
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