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Exploration and Application of the Blended Learning Model in the “Software Engineering” Course

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Artificial Intelligence in Education Technologies: New Development and Innovative Practices (AIET 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 154))

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Abstract

Software Engineering is a brand-new engineering course in the application-oriented skills training program, and an essential professional skill for high-demand employment. Because of the fast growth of science and technology, many students have high expectations for this topic. Students’ excitement and expectations for this topic, however, are dwindling as a result of uninspiring texts and an antiquated teaching method. To improve the problem, this study innovates in the areas of teaching idea, teaching substance, teaching style, and assessment mode. Based on the education concept of “student-centered” and “project-driven,” three basic teaching modalities of “role-playing,” “project case teaching,” and “workshop” were chosen to optimize the teaching content and assessment procedures. The blended teaching method shifts the function of learning from passive to active, and students are liberated from the monotonous theoretical learning environment. Students have made significant progress in course scores, competitions, projects, and other areas as a result of practical instruction, and the effect is palpable.

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Author information

Authors and Affiliations

  1. School of Artificial Intelligence and Software, Jiangsu Normal University Kewen College, Xuzhou City, 221132, China

    Mengmei Wang

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  1. Mengmei Wang
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Correspondence to Mengmei Wang .

Editor information

Editors and Affiliations

  1. Department of Curriculum and Instruction, The Education University of Hong Kong, Tai Po, Hong Kong

    Eric C. K. Cheng

  2. Swinburne University of Technology, Melbourne, VIC, Australia

    Tianchong Wang

  3. IU International University of Applied Sciences, Erfurt, Germany

    Tim Schlippe

  4. Department of Food Science & Technology, University of Patras, Agrinio, Greece

    Grigorios N. Beligiannis

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Wang, M. (2023). Exploration and Application of the Blended Learning Model in the “Software Engineering” Course. In: Cheng, E.C.K., Wang, T., Schlippe, T., Beligiannis, G.N. (eds) Artificial Intelligence in Education Technologies: New Development and Innovative Practices. AIET 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 154. Springer, Singapore. https://doi.org/10.1007/978-981-19-8040-4_11

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  • DOI: https://doi.org/10.1007/978-981-19-8040-4_11

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-8039-8

  • Online ISBN: 978-981-19-8040-4

  • eBook Packages: EngineeringEngineering (R0)

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