Journal Article

Addressing Proficiency Gaps in Future Skills Between Employers and Learners Through Data Visualization

To, Catter C. N., Hung, Benson K. H., Chan, Calvert C. S., Fung, Ryan K. H.

2023

Overview

The pandemic has principally changed the way the construction industry operates. It has caused a profound shift in how we conduct our work, with a large-scale take-up of remote working and changes in our digital approach. The way we work is changing. All these impacts challenge the traditional supply chain and working practices of the construction industry negatively, resulting in price escalations, additional costs, loss of revenue, payment delays and increase in disputes and claims. This study aimed to assess the skill proficiency of learners and narrow the employers’ and young engineers’ perspectives on what are the future skills requirements in the construction industry in the world of digitalization. This study, which comprised two surveys entitled “Future Skills—What does the future look like for young engineers?” (for employers) and “WLA Survey in “Future Skills”—The Proficiency Analyses of Young Engineers-to-be” (for learners), was a part of the Workplace Learning and Assessment (WLA) Engagement Series for students. This research attempts to map skill proficiency of learners (or young engineers-to-be) with the future skill requirements of the employers and to make recommendations on the construction-related institutional arrangements. A quantitative approach by using online surveys as the main data collection tool was adopted. A sample of 20 WLA-participating employers and 23 WLA-participating students in construction companies was generated. In December 2021, the project team initiated two surveys to explore the expectation for the future workforce in the construction industry. Interview results covering various construction-related disciplines, including civil engineering, building studies, surveying and building technology, were analysed and illustrated using Microsoft Power BI. Content analysis with data visualizations was used to identify major themes. This study has shown that employers and students have different perceptions of skills and attributes as critical competencies for a successful workforce. On a positive note, there was a high level of satisfaction for both employers and learners in “Training Structure” and “Training and Development”. This study highlighted that students did not have the appropriate level of knowledge as expected by their employers in key subject areas of the construction industry. Employers expressed a clear expectation for the roles and responsibilities of young engineers in their organizations. Areas of practice such as building information modelling (BIM), “Problem Solving”, and “Presentation Skills” were highlighted as critical for the future. The competency of youngsters in achieving targeted vision and goals as well as the competency in striving for continual improvement was identified as highly relevant for the future. There was potential for young engineers to play a more active role in their organizations and to repackage their technical skill and interpersonal skill sets for anticipated future roles. The choice of the quantitative research design approach was guided by the need to capture numerical data in the construction industry of Hong Kong for the purpose of illuminating differences in perspectives among participants about future skills for WLA implementation in vocational and professional education and training (VPET). This study can help to investigate the skill proficiency gaps that employers will be looking for and how WLA can bring maximized benefits to students and companies. Based on the results, the students can be better informed about the workplace settings and be prepared for the upcoming industrial attachment or apprenticeship programme with WLA. Feedback provided by the companies can help support students’ transition into the world of work. On the other hand, by understanding learners’ self-perception, this adaptation made by the companies could result in what looks to be part of a longer-term change in how we work, particularly with a move to increased use of hybrid working. The statistical models with data visualization based on Power BI can also lead to the experimentation and inference that inform the institution’s strategy.

• Publisher: Springer Nature Singapore,Springer Nature B.V
• Subject: Computer Imaging / Computer Science / Computer Systems Organization and Communication Networks / Construction companies / Construction industry / Content analysis / COVID-19 / Curricula / Data collection / Data Structures and Information Theory / Digitization / Education / Employers / Employment / Engineers / Information Systems and Communication Service / Open and Innovative Learning with Technology 2022 / Organizations / Pandemics / Pattern Recognition and Graphics / Quantitative analysis / Scientific visualization / Self image / Skilled workers / Skills / Software Engineering/Programming and Operating Systems / Statistical models / Students / Supply chains / Survey Article / Technology assessment / Training / Vision / Visualization / Vocational schools / Workforce