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Article
Publication date: 24 October 2023

Samuel Frimpong, Riza Yosia Sunindijo, Cynthia Changxin Wang, Elijah Frimpong Boadu, Ayirebi Dansoh and Rasaki Kolawole Fagbenro

Current research on mental health in the construction industry is fragmented, making it difficult to obtain a complete picture of young construction workers’ mental health…

Abstract

Purpose

Current research on mental health in the construction industry is fragmented, making it difficult to obtain a complete picture of young construction workers’ mental health conditions. This situation adversely affects research progress, mental health-care planning and resource allocation. To address this challenge, the purpose of this paper was to identify the themes of mental health conditions among young construction workers and their prevalence by geographical location.

Design/methodology/approach

The scoping review was conducted using meta-aggregation, guided by the CoCoPop (condition [mental health], context [construction industry] and population [construction workers 35 years old and younger]) and PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews) frameworks.

Findings

A total of 327 studies were retrieved, and 14 studies published between 1993 and 2022 met the inclusion criteria. The authors identified 13 mental health conditions and categorized them under nine themes. Mood disorders, anxiety disorders and substance-related disorders constituted the most researched themes. Studies predominantly focused on young male workers in the Global North. The prevalence estimates reported in most of the studies were above the respective country’s prevalence.

Originality/value

This review extends previous studies by focusing specifically on the themes of mental health conditions and giving attention to young construction workers whose health needs remain a global priority. The study emphasizes the need to give research attention to lesser-studied aspects of mental health, such as positive mental health. The need to focus on female construction workers and on homogenous sub-groups of young workers is also emphasized. The findings can guide future systematic reviews on the identified thematic areas and help to plan the development of interventions.

Details

Construction Innovation , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1471-4175

Keywords

Article
Publication date: 21 June 2022

Hsin-Te Wu and Kuo Cheng Chung

This study aims to focus on the Artificial Intelligence of Things (AIoT) course. As AIoT has many theoretical theories and students usually have little interest in learning the…

Abstract

Purpose

This study aims to focus on the Artificial Intelligence of Things (AIoT) course. As AIoT has many theoretical theories and students usually have little interest in learning the protocols, the experiments can help stimulate their curiosity. Due to the environmental factor, the teaching requires assistive videos and Problem-Based Learning (PBL) to understand students' learning conditions.

Design/methodology/approach

The experimental design generally follows the course theories going from easy to complex, and students can extend the acquired concepts to other project development, yet, without in-depth knowledge about the experiment, resulting in limited creativity.

Findings

The assessment analysis can reveal whether students have grown from the teaching. The final analysis at the end of the term can show learners' conditions; meanwhile, students can deliver their level of satisfaction. The click-and-mortar teaching environment provided in this research can improve learning setting and quality, solidifying learners' proficiency.

Originality/value

The research result has proved the feasibility of the proposed method. Apart from showing the experimental steps, the video also explains the corresponding theories, helping students reinforce experimental knowledge and boost learning willingness.

Details

Library Hi Tech, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0737-8831

Keywords

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