题名

以經驗學習檔案輔助營建危害職安教育訓練效益評估之研究

并列篇名

LEARNING EFFECTIVENESS EVALUATION OF CONSTRUCTION SAFETY TRAINING WITH LESSON LEARNED FILES

DOI

10.6652/JoCICHE.202311_35(7).0002

作者

蕭文達(Wen-Ta Hsiao);余文德(Wen-der Yu);張憲寬(Hsien-Kuan Chang);曾清祥(Chin-Hsiang Tseng)

关键词

營建安全管理 ; 職業安全教育 ; 視覺化危害辨識 ; 經驗學習檔案 ; construction safety management ; safety training ; hazard identification visualization ; lesson-learned file

期刊名称

中國土木水利工程學刊

卷期/出版年月

35卷7期(2023 / 11 / 01)

页次

633 - 643

内容语文

繁體中文;英文

中文摘要

透過職業安全衛生教育訓練提升勞工安全知識、改善安全態度及行為,是避免職業災害發生有效的方法之一,目前營建業實務上仍多採傳統靜態課堂聽講(LBT)方式進行職安訓練。然而,依據近年文獻發現,以視覺化學習模式,例如採用虛擬實境(VR)等沉浸式親身體驗模擬方法,可獲得較佳之訓練成效;但因其系統建置極為耗時費力,僅能進行人員個人訓練,不但訓練成本高,且整體訓練效率亦較低。而經驗學習檔案(LLF)學習模式則為整合LBT與沉浸式學習方法之視覺化教育訓練方式。為瞭解LLF對於工地危害情境認知之訓練效益,並探索最佳職安教育訓練方式,本研究以實驗設計方法,進行傳統LBT與LLF訓練方式之成效比較,結果發現,不論採用LBT或LLF進行初步訓練,皆可產生明顯之成效;然而若先採用LBT再以LLF加強訓練,則可獲得10.65%之更高效益。與過去研究進行比較,先對於勞工進行基本職安規範訓練,再透過視覺化之危害辨識,可以較低之訓練成本及較高之訓練效率達成接近沉浸式學習之教育訓練成效。LLF模式值得營建產業推廣應用,降低職業災害發生之風險。

英文摘要

Implementing construction safety training to improve worker's safety knowledge, attitudes and behaviors is one of the most effective way to avoid construction accidents. Although most current construction practitioners adopt the traditional Lecture-based training (LBT) method for safety training, previous researches have shown that immersive and visual training methods (e.g., VR, AR) system establishment. Moreover, they need to train the worker individually and thus resulted in a lower overall training efficiency. Another safety training method utilizes Lesson-learned File (LLF), while belonging to LBT category, which is a visual approach to safety training. LLF can cover more comprehensive hazardous scenarios than VR, and is much lower in system establishment cost. It can achieve the effect of "Demonstrate, apply, practice" in the Edgar Dale's Cone of Experience. This study conducts an experiment to compare the effectiveness of LBT and LLF training methods. The experiment results reveal that: (1) Both LBT and LLF methods achieve significant effectiveness when the trainee receives only one-shot training; (2) During the two-stage training, the trainees of experimental group (trained with LBT first and trained with LLF 4 weeks later) performed 10.65% better than the control group (trained with LLF first and trained with LBT 4 weeks later). A safety training program that starts with basic safety knowledge training, followed by vision-based LLF training can achieve a VR-like effect, but is more efficient and less expensive.

主题分类 工程學 > 土木與建築工程
工程學 > 水利工程
工程學 > 市政與環境工程
参考文献
  1. 余文德,王琨淇,吳獻堂,劉國青(2022)。以互動式 VR 體驗學習系統輔助工地高危害職安教育之效益評估。技術學刊,37(3)
    連結:
  2. Carrillo, P.,Ruikar, K.,Fuller, P.(2013).When will we learn? Improving lessons learned practice in construction.International Journal of Project Management,31(4),567-578.
  3. Carter, G.,Smith, S.(2006).Safety hazard identification on construction projects.Journal of Construction Engineering and Management,132(2),197-205.
  4. Chi, H. L.,Kang, S. C.,Wang, X.(2013).Research trends and opportunities of augmented reality applications in architecture, engineering, and construction.Automation in Construction,33,116-122.
  5. Dale, E.(1969).Audiovisual Methods in Teaching.NY, U.S.A:Dryden Press.
  6. Eiris, R.,Gheisari, M.,Esmaeili, B.(2018).PARS: Using augmented 360-degree panoramas of reality for construction safety training.Int. J. Environ. Res. Public Health,15(11),2452.
  7. Eiris, R.,Gheisari, M.,Esmaeili, B.(2020).Desktop-based safety training using 360-degree panorama and static virtual reality techniques: A comparative experimental study.Automation in Construction,109,102969.
  8. Fisher, D.,Deshpande, S.,Livingston, J.(1998).,Austin, TX, USA:Construction Industry Institute.
  9. Gao, Y.,Gonzalez, V. A.,Yiu, T. W.(2019).The effectiveness of traditional tools and computer-aided technologies for health and safety training in the construction sector: A systematic review.Computers & Education,138,101-115.
  10. Gastwirth, J. L.,Gel, Y. R.,Miao, W.(2009).The impact of Levene’s test of equality of variances on statistical theory and practice.Statistical Science,24(3),343-360.
  11. Ghobadi, M.,Sepasgozar, S. M. E.(2020).An investigation of virtual reality technology adoption in the construction industry.Smart Cities and Construction Technologies
  12. Guegler, M., “The use of virtual reality in construction safety training,” Web documents: https://digitalcommons.calpoly.edu/cgi/viewcontent.cgi?article=1478&context=cmsp, accessed via: Digital Commons@Cal Poly, California Polytechnic State University, CA, USA (2021).
  13. Heinrich, H. W., Industrial Accident Prevention, McGraw-Hill, New York, U.S.A (1931).
  14. Love, P. E. D.,Teo, P.,Davidson, M.,Cumming, S.,Morrison, J.(2016).Building absorptive capacity in an alliance: Process improvement through lessons learned.International Journal of Project Management,34(7),1123-1137.
  15. Moore, H. F.,Eiris, R.,Gheisari, M.,Esmaeili, B.(2019).Hazard identification training using 360-degree panorama vs. virtual reality techniques: A pilot study.Computing in Civil Engineering 2019: Visualization, Information Modeling, and Simulation,Atlanta, GA:
  16. Namian, M.,Albert, A,Zuluaga, C. M.,Jaselskis, E. J.(2016).Improving hazard-recognition performance and safety training outcomes: Integrating strategies for training transfer.Journal of Construction Engineering and Management,142(10),04016048.
  17. Nykänen, M.,Puro, V.,Tiikkaja, M.,Kannisto, H.,Lantto, E.,Simpura, F.,Uusitalo, J.,Lukander, K.,Räsänen, T.,Heikkilä, T.,Teperi, A.-M.(2020).Implementing and evaluating novel safety training methods for construction sector workers: Results of a randomized controlled trial.Journal of Safety Research,75,205-221.
  18. Perlman, A.,Sacks, R.,Barak, R.(2014).Hazard recognition and risk perception in construction.Safety Science,64(4),22-31.
  19. Pinto, A.,Nunes, I. L.,Ribeiro, R. A.(2011).Occupational risk assessment in construction industry-Overview and reflection.Safety Science,49(5)
  20. Rajendran, S.,Gambatese, J. A.(2009).Development and initial validation of sustainable construction safety and health rating system.Journal of Construction Engineering and Management,135(10),1067-1075.
  21. Ratajczak, J.,Riedl, M.,Matt, D. T.(2019).BIM-based and AR Application Combined with Location-Based Management System for the Improvement of the Construction Performance.Buildings,9(5),118.
  22. Suraji, A.,Duff, A. R.,Peckitt, S. J.(2001).Development of causal model of construction accident causation.Journal of Construction Engineering and Management,127(4),337-344.
  23. TSO, “Best management practice case study entry form,” Best Management Practice, website: http://www.surveymonkey.com/s.aspx?sm=IFFY5QnCfERK85S9A0MsLg_3d_3d, visited 2012/12
  24. 行政院勞動部,「職業安全衛生法」,中華民國 63 年04 月 16 日發布, 108 年 05 月 15 日修正。https://laws.mol.gov.tw/FLAW/FLAWDAT0201.aspx?id=FL015013,2022/7 查詢。
  25. 行政院勞動部職業安全衛生署,「109 年勞動檢查年報」,中華民國 110 年 6 月 28 日發布,網頁文章:https://www.osha.gov.tw/1106/1164/1165/1168/34345/ ,2022/3 查詢。
  26. 張憲寬,蕭文達,余文德,曾清祥。公共工程職安巡檢缺失經驗學習系統之研究。技術學刊
  27. 勞動部勞動及職業安全衛生研究所,「營造業重大職災知識平台查詢—營造業發生墜落死亡相關因子分佈結果」,網頁資訊:https://laws.ilosh.gov.tw/ciakp/,鄭慶武教授整理提供,2022/3/8 查詢。