The development of a competency framework for architectural engineering graduates: Perspectives by the construction industry in Indonesia

Q1 Social Sciences
R. W. Daryono, Nur Hidayat, M. Nurtanto, Athok Fu'adi
{"title":"The development of a competency framework for architectural engineering graduates: Perspectives by the construction industry in Indonesia","authors":"R. W. Daryono, Nur Hidayat, M. Nurtanto, Athok Fu'adi","doi":"10.3926/jotse.1986","DOIUrl":null,"url":null,"abstract":"The discrepancy between competence and real work in engineering graduates can be resolved with cooperation by the construction industry. Therefore, it is necessary to determine the appropriate and required architectural engineering competencies with the current demands and conditions of the construction industry. So this study aims to analyze the determinants of competence and test the competency development model for architectural engineering graduates according to the needs of the construction industry. The research sample method is non-probability sampling using purposive sampling. The research sample consisted of 240 practitioners and trainers from 40 construction industry companies. The PLS-SEM technique was used to test the measurement and structural models (3 dimensions, 8 elements, 47 constructs/indicators, and 9 hypotheses). The competence of architecture graduates is determined by the dominant factor, namely Utilities and Building Construction (UBC1 & UBC2, λ = 89.90%), and Building Estimation and Costing (BEC7, λ = 73.30%) is the lowest factor. The ability of the structural model to explain architectural competency measurements is 36.20% in the moderate category. The predictive relevance value (Q²) explains 47.5% to 56.0% of the phenomena predicted in the field and explains the level of strength of the observed value in the structural model. Furthermore, 9 hypotheses from 8 dimensions have a positive and significant effect. The results of this study can be a recommendation for schools in the competency implementation model, and efforts to improve graduates' abilities and skills so that they can be absorbed by the construction industry and reduce unemployment.","PeriodicalId":37919,"journal":{"name":"Journal of Technology and Science Education","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Technology and Science Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3926/jotse.1986","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0

Abstract

The discrepancy between competence and real work in engineering graduates can be resolved with cooperation by the construction industry. Therefore, it is necessary to determine the appropriate and required architectural engineering competencies with the current demands and conditions of the construction industry. So this study aims to analyze the determinants of competence and test the competency development model for architectural engineering graduates according to the needs of the construction industry. The research sample method is non-probability sampling using purposive sampling. The research sample consisted of 240 practitioners and trainers from 40 construction industry companies. The PLS-SEM technique was used to test the measurement and structural models (3 dimensions, 8 elements, 47 constructs/indicators, and 9 hypotheses). The competence of architecture graduates is determined by the dominant factor, namely Utilities and Building Construction (UBC1 & UBC2, λ = 89.90%), and Building Estimation and Costing (BEC7, λ = 73.30%) is the lowest factor. The ability of the structural model to explain architectural competency measurements is 36.20% in the moderate category. The predictive relevance value (Q²) explains 47.5% to 56.0% of the phenomena predicted in the field and explains the level of strength of the observed value in the structural model. Furthermore, 9 hypotheses from 8 dimensions have a positive and significant effect. The results of this study can be a recommendation for schools in the competency implementation model, and efforts to improve graduates' abilities and skills so that they can be absorbed by the construction industry and reduce unemployment.
为建筑工程专业毕业生制定能力框架:印度尼西亚建筑业的观点
工程学毕业生的能力与实际工作之间的差距可以通过与建筑业的合作来解决。因此,有必要根据当前建筑行业的需求和条件,确定适当的和所需的建筑工程能力。因此,本研究旨在分析能力的决定因素,并根据建筑行业的需求检验建筑工程专业毕业生的能力培养模式。研究样本方法是采用目的性抽样的非概率抽样。研究样本包括来自 40 家建筑行业公司的 240 名从业人员和培训师。采用 PLS-SEM 技术检验测量模型和结构模型(3 个维度、8 个要素、47 个构造/指标和 9 个假设)。建筑学毕业生的能力由主导因子决定,即公用事业和建筑施工(UBC1 和 UBC2,λ = 89.90%),建筑估算和成本计算(BEC7,λ = 73.30%)是最低因子。结构模型对建筑能力测量的解释能力为 36.20%,属于中等水平。预测相关值(Q²)可解释 47.5% 至 56.0% 的实地预测现象,并可解释结构模型中观察值的强度水平。此外,来自 8 个维度的 9 项假设具有积极而显著的效果。本研究的结果可以作为学校在能力实施模式方面的建议,努力提高毕业生的能力和技能,使他们能够被建筑行业吸收,减少失业。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
3.10
自引率
0.00%
发文量
45
审稿时长
7 weeks
期刊介绍: JOTSE is an international Journal aiming at publishing interdisciplinary research within the university education framework and it is especially focused on the fields of Technology and Science. JOTSE serves as an international forum of reference for Engineering education. Teaching innovation oriented, the journal will be issued twice per year (every 6 months) and will include original works, research and projects dealing with the new learning methodologies and new learning supporting tools related to the wide range of disciplines the Engineering studies and profession involve. In addition, JOTSE will also issue special numbers on more technological themes from the different areas of general interest in the industrial world, which may be used as practical cases in classroom tuition and practice. Thereby, getting the working world reality closer to the learning at University. Among other areas of interest, our Journal will be focused on: 1. Education 2.General Science (Physics, Chemistry, Maths,…) 3.Telecommunications 4.Electricity and Electronics 5.Industrial Computing (Digital, Analogic, Robotics, Ergonomics) 6.Aerospatial (aircraft design and building, engines, materials) 7. Automotive (automotive materials, automobile emissions).
文献相关原料
公司名称 产品信息 采购帮参考价格
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信