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

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.

SUBMITTER: Khampirat B

PROVIDER: S-EPMC8639090 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:IntroductionRecent conceptualizations of self-regulated learning acknowledge the importance of co-regulation, i.e., students' interactions with others in their networks to support self-regulation. Using a social network approach, the aim of this study is to explore relationships between characteristics of medical students' co-regulatory networks, perceived learning opportunities, and self-regulated learning.MethodsThe authors surveyed 403 undergraduate medical students during their clinical clerkships (response rate 65.5%). Using multiple regression analysis, structural equation modelling techniques, and analysis of variance, the authors explored relationships between co-regulatory network characteristics (network size, network diversity, and interaction frequency), students' perceptions of learning opportunities in the workplace setting, and self-reported self-regulated learning.ResultsAcross all clerkships, data showed positive relationships between tie strength and self-regulated learning (β = 0.095, p < 0.05) and between network size and tie strength (β = 0.530, p < 0.001), and a negative relationship between network diversity and tie strength (β = -0.474, p < 0.001). Students' perceptions of learning opportunities showed positive relationships with both self-regulated learning (β = 0.295, p < 0.001) and co-regulatory network size (β = 0.134, p < 0.01). Characteristics of clerkship contexts influenced both co-regulatory network characteristics (size and tie strength) and relationships between network characteristics, self-regulated learning, and students' perceptions of learning opportunities.DiscussionThe present study reinforces the importance of co-regulatory networks for medical students' self-regulated learning during clinical clerkships. Findings imply that supporting development of strong networks aimed at frequent co-regulatory interactions may enhance medical students' self-regulated learning in challenging clinical learning environments. Social network approaches offer promising ways of further understanding and conceptualising self- and co-regulated learning in clinical workplaces.

Project description:BackgroundNo studies have examined the association between self-esteem and paranoia developmentally across the critical stages of psychosis emergence. The present study fills this gap and extends previous research by examining how different dimensions, measures, and types of self-esteem relate to daily-life paranoia across at-risk mental states for psychosis (ARMS) and first episode of psychosis (FEP) stages. Furthermore, the moderation effects of momentary anxiety and momentary perceived social support on the association between momentary self-esteem and paranoia were examined.DesignThis study used a multilevel, cross-sectional design.MethodsOne-hundred and thirteen participants (74 ARMS and 39 FEP) were assessed repeatedly over seven consecutive days on levels of momentary paranoia, self-esteem, anxiety and perceived social support using experience sampling methodology. Measures of trait and implicit self-esteem were also collected.ResultsGlobal momentary and trait self-esteem, and their positive and negative dimensions, were related to daily-life paranoia in both ARMS and FEP groups. Conversely, implicit self-esteem was not associated with daily-life paranoia in either group. Anxiety negatively moderated the association between positive self-esteem and lower paranoia, whereas both feeling close to others and feeling cared for by others strengthened this association. However, only feeling cared for by others moderated the association between negative self-esteem and higher paranoia.ConclusionsDifferent types, measures and dimensions of self-esteem are differentially related to paranoia in early psychosis and are influenced by contextual factors in daily-life. This yields a more complex picture of these associations and offers insights that might aid psychological interventions.Practitioner pointsDifferent measures (trait and momentary) and dimensions (positive and negative) of explicit self-esteem are distinctly related to paranoia across risk and first-episode stages of psychosis. Explicit, but not implicit, self-esteem is associated with real-life paranoia in incipient psychosis. Anxiety boosted the association of poor self-esteem and paranoia ideation in daily-life. Social closeness, but feeling cared for by others in particular, interacts with self-esteem tempering the expression of paranoia in real life.

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

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