Industry Perception of the Knowledge and Skills Required to Implement Sensor Data Analytics in Construction

Autor/inn/en	Khalid, Mohammad; Akanmu, Abiola; Murzi, Homero; Lee, Sang Won; Awolusi, Ibukun; Manesh, Daniel; Okonkwo, Chinedu
Titel	Industry Perception of the Knowledge and Skills Required to Implement Sensor Data Analytics in Construction
Quelle	In: Journal of Civil Engineering Education, 150 (2024) 1 PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Khalid, Mohammad) ORCID (Akanmu, Abiola) ORCID (Murzi, Homero) ORCID (Awolusi, Ibukun) ORCID (Manesh, Daniel) ORCID (Okonkwo, Chinedu)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2643-9107
DOI	10.1061/JCEECD.EIENG-1902
Schlagwörter	Construction Industry; Engineering; Job Skills; Measurement Equipment; Data Analysis; Engineering Education; Skill Development; Professional Development; Technology Integration + Suchen Sie Ihr Suchwort? Baugewerbe; Maschinenbau; Produktive Fertigkeit; Messinstrument; Auswertung; Ingenieurausbildung; Kompetenzentwicklung; Qualifikationsentwicklung
Abstract	Construction, one of the largest industries in the world, consistently underperforms and faces barriers in leveraging the full potential of applying analytics to sensor data due to a lack of a skilled workforce. The prospects for data-driven solutions to address emerging construction challenges and enhance performance across project life cycles are therefore constrained. Through mixed-method research utilizing a survey and focus group, this study investigates the knowledge and skills required for graduating construction engineering and management students to implement sensor data analytics in the construction sector. The findings revealed that sensor data analytics knowledge and skills are required to systemically process and analyze data from sensing technologies and present them in formats for effective decision-making. The presented key knowledge areas, specific skills, and their significance can aid the construction industry and academics to streamline professional development efforts to match the actual demands, allowing for more efficacy in workforce training. The future construction workforce is expected to gain a competitive edge with sensor data analytics knowledge and skills as the ubiquitous integration of sensing technologies continues to drive the tremendous growth of sensor data. (As Provided).
Anmerkungen	American Society of Civil Engineers. 1801 Alexander Bell Drive, Reston, VA 20191. Tel: 800-548-2723; e-mail: ascelibrary@ascs.org; Web site: https://ascelibrary.org/journal/jceecd
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01