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Connected Classroom Climate in Hybrid Classroom: Model and Comparison

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Blended Learning: Aligning Theory with Practices (ICBL 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9757))

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Abstract

This study defines the hybrid classroom, provides a best-practice model for the implementation, and explores the effectiveness of connected classroom climate in respect to students’ perception based on the Connected Classroom Climate Inventory. Based on the findings of this study, the authors conclude that the connected classroom climate in the hybrid classrooms can be equal to, or greater than, the traditional face-to-face classrooms.

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Acknowledgments

This work was supported by the Fundamental Research Funds for the Central Universities of Central China Normal University (CCNU14Z02006) and China Scholarship Council.

Author information

Authors and Affiliations

  1. Communication University of China, Beijing, 10024, China

    Juan Xu

  2. State University of New York at Oswego, Oswego, 13126, USA

    Harrison Hao Yang

  3. Central China Normal University, Wuhan, 430079, China

    Harrison Hao Yang & Jason MacLeod

Authors
  1. Juan Xu
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  2. Harrison Hao Yang
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  3. Jason MacLeod
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Corresponding author

Correspondence to Harrison Hao Yang .

Editor information

Editors and Affiliations

  1. The Open University of Hong Kong, Kowloon, Hong Kong

    Simon K.S. Cheung

  2. City University of Hong Kong, Hong Kong, China

    Lam-for Kwok

  3. Peking University, Beijing, China

    Junjie Shang

  4. Peking University, Beijing, China

    Aihua Wang

  5. Caritas Institute of Higher Education, Hong Kong, China

    Reggie Kwan

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Xu, J., Yang, H.H., MacLeod, J. (2016). Connected Classroom Climate in Hybrid Classroom: Model and Comparison. In: Cheung, S., Kwok, Lf., Shang, J., Wang, A., Kwan, R. (eds) Blended Learning: Aligning Theory with Practices . ICBL 2016. Lecture Notes in Computer Science(), vol 9757. Springer, Cham. https://doi.org/10.1007/978-3-319-41165-1_17

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  • DOI: https://doi.org/10.1007/978-3-319-41165-1_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41164-4

  • Online ISBN: 978-3-319-41165-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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