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Development and Effect of Primary School Chinese Reading Generative Classroom Model in the Intelligent Environment

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Blended Learning. Education in a Smart Learning Environment (ICBL 2020)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12218))

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Abstract

Classroom revolution is an essential trend in the fundamental education field in China within the education informatization 2.0 era. And it is crucial to deepen talent cultivation model reform and bolster students’ creativity and practical ability. Generative teaching, a new teaching model derived from generativist perspectives, emphasizes the traditional classroom reformation and dynamic educational generation. The intelligent environment empowers the development and application of generative classrooms due to its advanced technological characteristics. This study develops a primary school Chinese reading generative classroom model based on theoretical reasoning and practical research. In addition, this study applies the model in teaching practice and produces an evaluation index system to assess its effectiveness. The results indicate that using the generative classroom model can achieve the Chinese reading classroom’s teaching objectives, promote students’ reading abilities and Chinese literacy.

This paper is one of the research results of the national educational information technology research project of “the 13th five-year plan”, “the research on the generative teaching mode of intelligent classroom oriented to personality development” (project no.: 174430027).

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Correspondence to Youru Xie .

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Chen, X. et al. (2020). Development and Effect of Primary School Chinese Reading Generative Classroom Model in the Intelligent Environment. In: Cheung, S., Li, R., Phusavat, K., Paoprasert, N., Kwok, L. (eds) Blended Learning. Education in a Smart Learning Environment. ICBL 2020. Lecture Notes in Computer Science(), vol 12218. Springer, Cham. https://doi.org/10.1007/978-3-030-51968-1_31

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  • DOI: https://doi.org/10.1007/978-3-030-51968-1_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-51967-4

  • Online ISBN: 978-3-030-51968-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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