• ISSN: 2382-6282 (Print); 2972-3108 (Online)
    • Abbreviated Title: Int. J. Lang. Lit. Linguist.
    • Frequency: Bimonthly
    • DOI: 10.18178/IJLLL
    • Editor-in-Chief: Dr. Jason Miin-Hwa Lim
    • Managing Editor:  Jennifer X. Zeng
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HOME > Archives > 2024 > Volume 10 Number 1 (2024) >
IJLLL 2024 Vol.10(1): 32-35
DOI: 10.18178/IJLLL.2024.10.1.479

Deep Chinese Teaching and Learning Model Based on Deep Learning

Yipu Wang1,* and Stuart Perrin2
1. College of Humanities, Capital Normal University, China
2. Xi’an Jiaotong-Liverpool University Entrepreneur College, Taicang, China
Email: wang.yipu@163.com (Y.W.)
*Corresponding author

Manuscript received August 11, 2023; revised September 20, 2023; accepted October 30, 2023; published January 17, 2024

Abstract—Deep learning is a more situational and reflective way of learning that integrates complex knowledge and skills into intuitive thinking. As a language that closely combines sound, form and meaning, Chinese teaching and learning from the perspective of deep learning can help break through the limitations of the current teaching model that only focuses on certain language knowledge or cultural behaviors. This paper combines deep learning with international Chinese education, creates deep Chinese teaching and learning model including “four stages and ten steps”, and carries out practical application and teaching effect test. The results show that the deep Chinese teaching and learning model is conducive to improving students’ discourse presentation ability and comprehensive skills, cultivating the learners’ autonomous learning ability and intercultural communication competence, and strengthening the integration of language teaching and cultural teaching. At the same time, this model also has some limitations, need to be further adjusted and optimized.

Keywords—deep learning, international Chinese education, teaching and learning model

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Cite: Yipu Wang and Stuart Perrin, "Deep Chinese Teaching and Learning Model Based on Deep Learning," International Journal of Languages, Literature and Linguistics vol. 10, no. 1, pp. 32-35, 2024.

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