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Identification and Hierarchical Analysis of Risk Factors in Primary and Secondary Schools: A Novel GT-DEMATEL-ISM Approach

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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

As an important part of public safety throughout the world, primary and secondary school safety has been faced with increasingly diverse and complex risks. Literature mentions different methods to identify and assess safety risks in primary and secondary schools. However, none of these methods help in defining a complete scope. Differently, this study aims to clarify the relationship between risk factors and their impact on school safety by integrating qualitative and quantitative research methods. Firstly, adopting grounded theory as the methodology, data collection entailed from two sources: Semi-structured interviews with experienced primary and secondary school staff (n = 20) across diverse schools, 231 cases of school safety accidents in primary and secondary schools in China from 2011 to 2021. The results show that 76 initial concepts, 19 initial categories, and 8 main categories are obtained through the coding step of grounded theory. Then, the 19 initial categories are defined as 19 risk factors in primary and secondary schools. We employed the combination of Decision-making Trial and Evaluation Laboratory (DEMATEL) and Interpretive Structural Modeling (ISM) techniques for understanding the hierarchal and contextual relationship structure among the 19 risk factors. This present novel model helps the policy and decision-makers to find out a mutual relationship and interlinking with school safety.

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Author information

Authors and Affiliations

  1. School of Safety and Emergency Management Engineering, Taiyuan University of Technology, Taiyuan, 030000, Shanxi, China

    Shuzhen Luo & Qian Wang

  2. Shuangta North Road Primary School, Yingze District, Taiyuan, 030000, Shanxi, China

    Peirong Qi

Authors
  1. Shuzhen Luo
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  2. Qian Wang
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  3. Peirong Qi
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Corresponding author

Correspondence to Qian 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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Luo, S., Wang, Q., Qi, P. (2023). Identification and Hierarchical Analysis of Risk Factors in Primary and Secondary Schools: A Novel GT-DEMATEL-ISM Approach. 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_2

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  • DOI: https://doi.org/10.1007/978-981-19-8040-4_2

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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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