Formulating a learner model for evaluating construction workers’ learning ability during safety training
•The construction workers’ learner model was built incorporating five factors.•170 construction workers taking surveys were divided into four categories.•Organisational and environmental factors had greater influence than personal ones.•Potential strategies to introduce PST and improve safety outcom...
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Veröffentlicht in: | Safety science 2019-07, Vol.116, p.97-107 |
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description | •The construction workers’ learner model was built incorporating five factors.•170 construction workers taking surveys were divided into four categories.•Organisational and environmental factors had greater influence than personal ones.•Potential strategies to introduce PST and improve safety outcomes were discussed.
The improvement of safety performance of construction workers heavily lies in safety training, and training technologies, materials and organisations. However, the traditional one-size-fit-all safety training does not cater for the needs of heterogeneous workers. Personalised training may proffer a better solution for heterogeneous workers in the construction sector. To understand the rationale of personalised training, this study formulated a learner model that can capture and evaluate the learning abilities of individual workers. Methodically, a survey on 170 construction workers was conducted, and evidenced that they were heterogeneous in safety training motivation, established knowledge, and emotions during the knowledge acquisition process; and were vulnerable to the model effect and convenience effect during the knowledge application process. The results also showed that workers generally perceived safety training as a mandatory requirement, rather than inherently motivated; emotional changes was the most influencing factor in the knowledge acquisition process; about 40% of the workers were strongly vulnerable to the model effect and convenience effect; and 18% of the workers needed to improve their ability of knowledge acquisition and knowledge application. The correlation analysis and t-test indicated that age, year of experience, trade, project type, organisation type and site environment influenced workers’ learning characteristics and abilities; which lead to the varied levels of safety understanding, awareness and performance. It was also concluded that the construction workers had unique characteristics in their safety learning process and the concept of adapted safety learning could potentially improve the efficiency of safety training. |
doi_str_mv | 10.1016/j.ssci.2019.03.002 |
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The improvement of safety performance of construction workers heavily lies in safety training, and training technologies, materials and organisations. However, the traditional one-size-fit-all safety training does not cater for the needs of heterogeneous workers. Personalised training may proffer a better solution for heterogeneous workers in the construction sector. To understand the rationale of personalised training, this study formulated a learner model that can capture and evaluate the learning abilities of individual workers. Methodically, a survey on 170 construction workers was conducted, and evidenced that they were heterogeneous in safety training motivation, established knowledge, and emotions during the knowledge acquisition process; and were vulnerable to the model effect and convenience effect during the knowledge application process. The results also showed that workers generally perceived safety training as a mandatory requirement, rather than inherently motivated; emotional changes was the most influencing factor in the knowledge acquisition process; about 40% of the workers were strongly vulnerable to the model effect and convenience effect; and 18% of the workers needed to improve their ability of knowledge acquisition and knowledge application. The correlation analysis and t-test indicated that age, year of experience, trade, project type, organisation type and site environment influenced workers’ learning characteristics and abilities; which lead to the varied levels of safety understanding, awareness and performance. It was also concluded that the construction workers had unique characteristics in their safety learning process and the concept of adapted safety learning could potentially improve the efficiency of safety training.</description><identifier>ISSN: 0925-7535</identifier><identifier>EISSN: 1879-1042</identifier><identifier>DOI: 10.1016/j.ssci.2019.03.002</identifier><language>eng</language><publisher>Amsterdam: Elsevier Ltd</publisher><subject>Concept learning ; Construction industry ; Correlation analysis ; Knowledge acquisition ; Learner model ; Learning ; Learning process ; Manual workers ; Motivation ; Occupational safety ; Personalised training ; Safety ; Safety management ; Safety training ; Training</subject><ispartof>Safety science, 2019-07, Vol.116, p.97-107</ispartof><rights>2019</rights><rights>Copyright Elsevier BV Jul 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c328t-6a65cf05edd72de9a82c020dc469af3dd51d5ce8fc2dcb6f286285a3ef0b95383</citedby><cites>FETCH-LOGICAL-c328t-6a65cf05edd72de9a82c020dc469af3dd51d5ce8fc2dcb6f286285a3ef0b95383</cites><orcidid>0000-0001-7361-5928</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ssci.2019.03.002$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Xu, Sheng</creatorcontrib><creatorcontrib>Zhang, Mengge</creatorcontrib><creatorcontrib>Hou, Lei</creatorcontrib><title>Formulating a learner model for evaluating construction workers’ learning ability during safety training</title><title>Safety science</title><description>•The construction workers’ learner model was built incorporating five factors.•170 construction workers taking surveys were divided into four categories.•Organisational and environmental factors had greater influence than personal ones.•Potential strategies to introduce PST and improve safety outcomes were discussed.
The improvement of safety performance of construction workers heavily lies in safety training, and training technologies, materials and organisations. However, the traditional one-size-fit-all safety training does not cater for the needs of heterogeneous workers. Personalised training may proffer a better solution for heterogeneous workers in the construction sector. To understand the rationale of personalised training, this study formulated a learner model that can capture and evaluate the learning abilities of individual workers. Methodically, a survey on 170 construction workers was conducted, and evidenced that they were heterogeneous in safety training motivation, established knowledge, and emotions during the knowledge acquisition process; and were vulnerable to the model effect and convenience effect during the knowledge application process. The results also showed that workers generally perceived safety training as a mandatory requirement, rather than inherently motivated; emotional changes was the most influencing factor in the knowledge acquisition process; about 40% of the workers were strongly vulnerable to the model effect and convenience effect; and 18% of the workers needed to improve their ability of knowledge acquisition and knowledge application. The correlation analysis and t-test indicated that age, year of experience, trade, project type, organisation type and site environment influenced workers’ learning characteristics and abilities; which lead to the varied levels of safety understanding, awareness and performance. It was also concluded that the construction workers had unique characteristics in their safety learning process and the concept of adapted safety learning could potentially improve the efficiency of safety training.</description><subject>Concept learning</subject><subject>Construction industry</subject><subject>Correlation analysis</subject><subject>Knowledge acquisition</subject><subject>Learner model</subject><subject>Learning</subject><subject>Learning process</subject><subject>Manual workers</subject><subject>Motivation</subject><subject>Occupational safety</subject><subject>Personalised training</subject><subject>Safety</subject><subject>Safety management</subject><subject>Safety training</subject><subject>Training</subject><issn>0925-7535</issn><issn>1879-1042</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kMFO3DAQhq0KJBbKC3CK1HPSsb32JlIv1QpapJW40LPltcfIaTam42QRN16D1-NJSBrOnEa__v-bGf2MXXGoOHD9va1ydrESwJsKZAUgvrAVrzdNyWEtTtgKGqHKjZLqjJ3n3AIAl5qvWHuT6DB2doj9Q2GLDi31SMUheeyKkKjAo-3GxXapzwONboipL54S_UXKby-vC_Sf38cuDs-FH2mW2Qac1EA2zvZXdhpsl_HyY16wPzfX99vf5e7u1-325650UtRDqa1WLoBC7zfCY2Nr4UCAd2vd2CC9V9wrh3Vwwru9DqLWolZWYoB9o2QtL9i3Ze8jpX8j5sG0aaR-OmmEkHojpdZqSokl5SjlTBjMI8WDpWfDwcydmtbMnZq5UwPSTJ1O0I8Fwun_Y0QyUwJ7hz4SusH4FD_D3wHGxYQA</recordid><startdate>201907</startdate><enddate>201907</enddate><creator>Xu, Sheng</creator><creator>Zhang, Mengge</creator><creator>Hou, Lei</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T2</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>NAPCQ</scope><orcidid>https://orcid.org/0000-0001-7361-5928</orcidid></search><sort><creationdate>201907</creationdate><title>Formulating a learner model for evaluating construction workers’ learning ability during safety training</title><author>Xu, Sheng ; Zhang, Mengge ; Hou, Lei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c328t-6a65cf05edd72de9a82c020dc469af3dd51d5ce8fc2dcb6f286285a3ef0b95383</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Concept learning</topic><topic>Construction industry</topic><topic>Correlation analysis</topic><topic>Knowledge acquisition</topic><topic>Learner model</topic><topic>Learning</topic><topic>Learning process</topic><topic>Manual workers</topic><topic>Motivation</topic><topic>Occupational safety</topic><topic>Personalised training</topic><topic>Safety</topic><topic>Safety management</topic><topic>Safety training</topic><topic>Training</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Sheng</creatorcontrib><creatorcontrib>Zhang, Mengge</creatorcontrib><creatorcontrib>Hou, Lei</creatorcontrib><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Nursing & Allied Health Premium</collection><jtitle>Safety science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xu, Sheng</au><au>Zhang, Mengge</au><au>Hou, Lei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Formulating a learner model for evaluating construction workers’ learning ability during safety training</atitle><jtitle>Safety science</jtitle><date>2019-07</date><risdate>2019</risdate><volume>116</volume><spage>97</spage><epage>107</epage><pages>97-107</pages><issn>0925-7535</issn><eissn>1879-1042</eissn><abstract>•The construction workers’ learner model was built incorporating five factors.•170 construction workers taking surveys were divided into four categories.•Organisational and environmental factors had greater influence than personal ones.•Potential strategies to introduce PST and improve safety outcomes were discussed.
The improvement of safety performance of construction workers heavily lies in safety training, and training technologies, materials and organisations. However, the traditional one-size-fit-all safety training does not cater for the needs of heterogeneous workers. Personalised training may proffer a better solution for heterogeneous workers in the construction sector. To understand the rationale of personalised training, this study formulated a learner model that can capture and evaluate the learning abilities of individual workers. Methodically, a survey on 170 construction workers was conducted, and evidenced that they were heterogeneous in safety training motivation, established knowledge, and emotions during the knowledge acquisition process; and were vulnerable to the model effect and convenience effect during the knowledge application process. The results also showed that workers generally perceived safety training as a mandatory requirement, rather than inherently motivated; emotional changes was the most influencing factor in the knowledge acquisition process; about 40% of the workers were strongly vulnerable to the model effect and convenience effect; and 18% of the workers needed to improve their ability of knowledge acquisition and knowledge application. The correlation analysis and t-test indicated that age, year of experience, trade, project type, organisation type and site environment influenced workers’ learning characteristics and abilities; which lead to the varied levels of safety understanding, awareness and performance. It was also concluded that the construction workers had unique characteristics in their safety learning process and the concept of adapted safety learning could potentially improve the efficiency of safety training.</abstract><cop>Amsterdam</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.ssci.2019.03.002</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0001-7361-5928</orcidid></addata></record> |
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subjects | Concept learning Construction industry Correlation analysis Knowledge acquisition Learner model Learning Learning process Manual workers Motivation Occupational safety Personalised training Safety Safety management Safety training Training |
title | Formulating a learner model for evaluating construction workers’ learning ability during safety training |
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