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Design of Chinese Grammar Smart Learning System

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Computer Science and Education (ICCSE 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1812))

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Abstract

Grammar is an essential component of language instruction. In the existing grammar learning applications, there are several aspects needed to improve, such as the cold start problem, fixed learning path, less effective learning videos, undifferentiated material presenting, and low-quality exercises. With the purpose of making some useful attempts, we have built a Chinese Grammar Smart Learning System (CVSLS). Through the initial assessment and pre-learning test, the system can identify the weak areas of learners. After taking the factors of grammar difficulty, arrangement pattern and learning condition into consideration, the system can provide for each learner a personalized learning path. Assisted by the well-designed videos and exercises, learners can better master grammar knowledge. In addition, the dynamically adjusted presentation of learning materials based on influence value and demand value can achieve a better learning experience and improve the learning efficiency.

This research project is supported by Major Program of the National Social Science Fund of China (No. 19ZDA299), and Science Foundation of Beijing Language and Culture University (supported by “the Fundamental Research Funds for the Central Universities”) (No. 21YJ010203).

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Author information

Authors and Affiliations

  1. Beijing Language and Culture University, Beijing, 100083, China

    Miao Yu & Juan Xu

Authors
  1. Miao Yu
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  2. Juan Xu
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Corresponding author

Correspondence to Miao Yu .

Editor information

Editors and Affiliations

  1. Xiamen University, Xiamen, China

    Wenxing Hong

  2. Sichuan University, Chengdu, China

    Yang Weng

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Yu, M., Xu, J. (2023). Design of Chinese Grammar Smart Learning System. In: Hong, W., Weng, Y. (eds) Computer Science and Education. ICCSE 2022. Communications in Computer and Information Science, vol 1812. Springer, Singapore. https://doi.org/10.1007/978-981-99-2446-2_42

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  • DOI: https://doi.org/10.1007/978-981-99-2446-2_42

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-2445-5

  • Online ISBN: 978-981-99-2446-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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