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Construction of Evaluation Index System for Museum Learning Projects in China

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The Impact of the 4th Industrial Revolution on Engineering Education (ICL 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1135))

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Abstract

With the emergence of the concept about informal learning, museum learning has gradually moved from the edge of educational research to the center. Since learners have completely autonomous control over learning objectives, learning behaviors and learning paths during project-based learning in museums, how to evaluate teaching projects in museums has become the focus of researchers’. Therefore, starting from the evaluation of teaching projects in museums, this study defines the meaning of museum learning projects and establishes an evaluation index system of museum learning project in China, which includes 5 first-level indicators consisting of project investment, project activities, project implementation, project effect and project impact, 19 second-level indicators and 54 third-level indicators. In order to guide the evaluation of museum learning projects in China and promote the organic integration of museum learning projects and formal education in schools.

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Author information

Authors and Affiliations

  1. School of Network Education, Beijing University of Posts and Telecommunications, Beijing, People’s Republic of China

    Jiangfeng Gou & Nan Wang

Authors
  1. Jiangfeng Gou
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  2. Nan Wang
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Correspondence to Jiangfeng Gou .

Editor information

Editors and Affiliations

  1. Carinthia University of Applied Sciences, Villach, Austria

    Michael E. Auer

  2. Technische Universität Dresden, Dresden, Germany

    Hanno Hortsch

  3. King Mongkut's University of Technology North Bangkok, Bangkok, Thailand

    Panarit Sethakul

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Gou, J., Wang, N. (2020). Construction of Evaluation Index System for Museum Learning Projects in China. In: Auer, M., Hortsch, H., Sethakul, P. (eds) The Impact of the 4th Industrial Revolution on Engineering Education. ICL 2019. Advances in Intelligent Systems and Computing, vol 1135. Springer, Cham. https://doi.org/10.1007/978-3-030-40271-6_51

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