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Exploration of Hybrid Teaching of Software Engineering on StarC

  • Conference paper
  • First Online:
Hybrid Learning: Innovation in Educational Practices (ICHL 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9167))

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Abstract

In view of the problem of the low efficiency in traditional classroom teaching due to the limitation in time and space, an exploration which combines real classroom with virtual classroom in hybrid learning was proposed. We chose the teaching of a software engineering course and used starC as the teaching support tool for analysis. In our study, the teaching process was divided into several teaching units, and each teaching unit was further divided into several activity units. The content was organized in the form of topicalities, where students are allowed to choose the learning content according to their study plans and preferences. Through the questionnaire survey which includes the indicators of participation and satisfaction among the students on both traditional learning and hybrid learning, it is found that the students on hybrid learning have higher participation and satisfaction than that on traditional learning. This indicated that hybrid learning could effectively improve teaching effectiveness.

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Acknowledgment

This work was supported by National Key Technology Research and Development Program (No.013BAH72B01) and (No.2013BAH18F02).

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Correspondence to Jiangbo Shu .

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© 2015 Springer International Publishing Switzerland

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Shu, J., Wan, B., Li, J., Zhang, Z., Wu, L., Liu, H. (2015). Exploration of Hybrid Teaching of Software Engineering on StarC. In: Cheung, S., Kwok, Lf., Yang, H., Fong, J., Kwan, R. (eds) Hybrid Learning: Innovation in Educational Practices. ICHL 2015. Lecture Notes in Computer Science(), vol 9167. Springer, Cham. https://doi.org/10.1007/978-3-319-20621-9_8

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  • DOI: https://doi.org/10.1007/978-3-319-20621-9_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20620-2

  • Online ISBN: 978-3-319-20621-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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