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Research on Teaching Innovation of Computer Rendering Course of Environmental Design Specialty Based on PTP Mode

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Application of Big Data, Blockchain, and Internet of Things for Education Informatization (BigIoT-EDU 2022)

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Abstract

Based on the characteristics of computer rendering course of environmental design specialty, using “PTP” The teaching mode tries to innovate the teaching methods to replace the traditional computer renderings teaching mode, and mobilize the students’ initiative to participate in the learning content in the way of practice project practice, so as to enhance the students’ learning ability and improve the professional skill level through teaching, so as to meet the talent needs of the employer of environmental design specialty.

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References

  1. Wang, H., Liu, J.: Exploration on PTP teaching mode of social work major in colleges and universities. Educ. Teach. Forum 48, 126–127 (2018)

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Author information

Authors and Affiliations

  1. Ankang University, Ankang, 725000, Shaanxi, China

    Changming Rao

Authors
  1. Changming Rao
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Correspondence to Changming Rao .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Abdul Wali Khan University Mardan, Mardan, Pakistan

    Mian Ahmad Jan

  2. Department of Computer Science, Abdul Wali Khan University Mardan, Mardan, Pakistan

    Fazlullah Khan

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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Rao, C. (2023). Research on Teaching Innovation of Computer Rendering Course of Environmental Design Specialty Based on PTP Mode. In: Jan, M.A., Khan, F. (eds) Application of Big Data, Blockchain, and Internet of Things for Education Informatization. BigIoT-EDU 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 467. Springer, Cham. https://doi.org/10.1007/978-3-031-23944-1_23

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  • DOI: https://doi.org/10.1007/978-3-031-23944-1_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-23943-4

  • Online ISBN: 978-3-031-23944-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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