Relationships between ICT competencies related to work, self-esteem, and self-regulated learning with engineering competencies

PLoS One. 2021 Dec 2;16(12):e0260659. doi: 10.1371/journal.pone.0260659. eCollection 2021.

Abstract

The rapid development of advanced technology worldwide has promoted an increase in the need for highly skilled engineers who are adept at applying job-related technologies and have engineering competency (ENcom) to gain knowledge and introduce creative solutions. However, little is known about the underlying mechanism of the associations between ICT competencies related to work (ICT-Work) and the ENcom of engineering students. This study sought to examine the role of ICT-Work on ENcom. Based on the literature, self-esteem and self-regulated learning (SRL) were identified as factors that indicate the effect of ICT-Work on ENcom, while gender was identified as a moderator that conditioned these mediated relationships. The sample consisted of 1,313 undergraduate engineering students from eleven universities in Thailand. The results of structural equation modeling (SEM) showed positive direct and indirect effects of ICT-Work on ENcom, self-esteem, and SRL and confirmed that self-esteem and SRL mediate the impact of ICT-Work on ENcom. Moreover, multigroup SEM revealed no gender differences in the factor loadings and structural path coefficients of ICT-Work on ENcom via self-esteem and SRL. To prepare students for their professional lives in the digital world, educational institutions should emphasize the importance of developing engineering students in ICT-Work and the use of advanced ICT involved in the job.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Engineering
  • Female
  • Humans
  • Learning*
  • Male
  • Models, Theoretical
  • Self Concept*
  • Self Efficacy*
  • Sex Characteristics
  • Students / psychology*
  • Surveys and Questionnaires
  • Thailand
  • Universities
  • Young Adult

Grants and funding

This project was funded by National Research Council of Thailand (NRCT) and Suranaree University of Technology (SUT) [NRCT5-RSA63009-02], and was supported by the Suranaree University of Technology Research and Development Fund (IRD2-202-64-12-12).