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Application of Mixed Teaching Mode Under “Rain Classroom” Information Technology

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Application of Intelligent Systems in Multi-modal Information Analytics (MMIA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1233))

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Abstract

After the wave of educational reform of flipping classroom and online learning platform, the educational information technology revolution based on hybrid teaching mode is in full swing. “Rain Classroom” integrates PPT multimedia education technology, MOOC Internet resources and mobile phone Wechat to bring convenience, practicability and operability for teachers and students to carry out teaching reform. At the same time, teaching resources such as MOOC video, PPT courseware, exercises and cases can be shared between teachers and students. Students can study independently, collaboratively and discussively at any time and anywhere before class. Real-time answers in class, interaction between bullet and screen, labeling without understanding and data analysis can effectively digitize face-to-face traditional teaching. Network teaching is a perfect mix. The mixed teaching mode based on “rain classroom” information technology runs through all the teaching links before, during and after class, and embodies “learning-oriented”, which helps to realize self-learning and mutual learning, understanding and internalization of knowledge, practice of knowledge to the application of knowledge.

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Acknowledgements

The 13th Five-Year Plan of Education Science in Guangdong Province in 2018(2018GXJK060).

Educational and Teaching Research Topics of Guangdong Medical University in 2017.

“Quality Project” of Guangdong University of Science and Technology in 2019: Research on the Application of Mixed Teaching Mode Based on “Rain Classroom” in Higher Education (CQ2019074).

Author information

Authors and Affiliations

  1. School of Management, Guangdong University of Science and Technology, Dongguan, 523083, China

    Jun Luo

  2. Department of Psychology, Guangdong Medical University, Dongguan, 523808, China

    Yulan Yu

Authors
  1. Jun Luo
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  2. Yulan Yu
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Corresponding author

Correspondence to Yulan Yu .

Editor information

Editors and Affiliations

  1. Department of Decision and Information Sciences, and Center for Data Science and Big Data Analytics, Oakland University, School of Business Administration, Rochester, MI, USA

    Vijayan Sugumaran

  2. Shanghai University of Medicine and Health Sciences, Shanghai, China

    Zheng Xu

  3. Department of Informatics, University of Leicester, Leicester, UK

    Huiyu Zhou

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Luo, J., Yu, Y. (2021). Application of Mixed Teaching Mode Under “Rain Classroom” Information Technology. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2020. Advances in Intelligent Systems and Computing, vol 1233. Springer, Cham. https://doi.org/10.1007/978-3-030-51431-0_44

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