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The Whole Child Initiative (WCI) was developed over the past 15 years as a blueprint to promote long-term development and success of all children, as well as their families and communities. This chapter describes three aspects of the WCI model: (a) the need for a public health approach to sustainable, communitywide change targeting the whole child; (b) a clear, future-oriented vision for equipping educators, caregivers, and service providers with the skills and attitudes required to deliver high-quality instruction; and (c) the infusion of social and emotional learning practices to transform environments in which youth live and play. We provide examples of how schools, communities, and families can come together to create a common culture fostering stable and nurturing relationships essential for enhancing youth well-being. We close with recommended “super strategies” – low-cost, simple, and effective practices that can be broadly implemented to keep every child healthy, safe, engaged, supported, and challenged in the community at large.

The purpose of this study is to systematically review how positive mental health literacy has been conceptualised and measured over the last 20 years. Positive mental health recognises the benefits of feeling good and functioning effectively. Developing clarity around conceptualisation and knowledge (or literacy) of what constitutes positive mental health is an area of continued development, and an important step in measuring the impact of mental health promotion.

A systematic review of literature was performed to investigate how positive mental health literacy has been conceptualised and measured over the last 20 years. Databases searched included EDS, Scopus, ERIC, PsycINFO, CINAHL and SocIndex with fulltext. Search terms relating to positive mental health were combined with proximity operators within four words denoting knowledge, competence or literacy.

A total of 464 records were assessed on title level, with six articles included for final review. The final studies included three measures assessing participants’ knowledge of positive mental health, some of which included more distal themes such as awareness of coping strategies and emotional awareness. One measure, the Mental Health Promoting Knowledge – 10, stood out as the most fitting measure of positive mental health literacy.

Our review approaches an under reported area of study, highlighting an area in need for further development with a few limitations. When building the search strategy, care was taken to line it up with literacy around positive mental health and its synonyms. The word “mental health” without positive specification was omitted in the final search strategy, increasing the risk of it also omitting potential articles of interest.

Our findings therefore highlight a knowledge gap in relation to conceptualisations and measures of positive mental health literacy, unfolding an area for further development. A more harmonised understanding of what is meant by positive mental health is an important step towards clarifying the concept and facilitating future study of the topic. Measures of positive mental health literacy could be an important indicator for mental health promotion.

New ways of measuring positive mental health literacy can be a useful way to establish benefits of mental health promotion, taking a salutogenic approach to mental health.

These findings expose an apparent knowledge gap in relation to conceptualisations and measures of positive mental health literacy, highlighting an area in need for further development. Measures of positive mental health literacy could be an important indicator for mental health promotion.

The purpose of this article is to determine safety culture indicators that can improve the health and safety performance of small and medium-sized enterprise (SME) contractors in Ghana.

A three-round Delphi method was used. The first round consisted of 31 experts out of which 18 of them rated their agreements with a set of 87 potential safety culture indicators using a 10-point Likert scale of importance (1 = important and 10 = very important) and the 16 experts who completed the final round were given the opportunity to suggest other indicators. The 87 indicators were categorised into 14 core health and safety elements. Indicators that attained a group median value of 5–10 for 50% or more expert ratings were accepted.

At the end of the third round, a consensus was reached on the indicators when they attracted median scores of 5–10 for at least 50% or more of the health and safety experts rated the indicators between 5 and 10. Out of a total of 87 indicators at the start of the Delphi process, the consensus was reached on 70 that were retained.

The health and safety experts were not given the opportunity to add new indicators to the structured questionnaire until the third round.

This is the first study, to the best of the authors’ knowledge, to have a consensus by health and safety experts on leading indicator metrics of positive culture of construction safety in Ghana for improved SME construction company’s health and safety performance in Ghana. If these indicators are adopted and used effectively in Ghana, they would ensure positive culture of construction safety and subsequently help to protect construction workers.

The purpose of this paper is to embark on evaluating the role of Chat Generative-Trained Transformer (ChatGPT) in personal knowledge management (PKM) practices of individual knowledge workers across varied disciplines.

The methodology involves four steps, i.e. literature search, screening and selection of relevant data, data analysis and data synthesis related to KM, PKM and generative artificial intelligence (AI) with a focus on ChatGPT. The findings are then synthesized to develop a viewpoint on the challenges and opportunities brought by ChatGPT for individual knowledge workers in enhancing their PKM capability.

This work highlights the prevailing challenges and opportunities experienced by knowledge workers while leveraging PKM through implying ChatGPT. It also encapsulates how some management theories back the cruciality of generative AI (specifically ChatGPT) for PKM.

This study identifies the challenges and opportunities. from existing studies and does not imply empirical data/result. The authors believe that findings can be adjusted to diverse domains regarding knowledge workers’ PKM endeavors. This paper draws some conclusions and calls for further empirical research.

ChatGPT’s capability to accelerate organizational performance compelled scholars to focus in this domain. The linkage of ChatGPT to Knowledge Management is an under-explored area specifically the role of ChatGPT on PKM hasn't been given attention in the existing work. This is one of the earliest studies to explore this context.

Academic integrity in tertiary education is a global concern. This chapter describes academic integrity in Australian universities and proposes an “it takes a village” framework to guide universities toward a re-evaluation of academic integrity education. It takes a village to raise a child – a child needs role models and positive influences from multiple people for healthy growth and development. With regard to academic integrity, the parallel is that the entire university community needs to be involved to foster development of students of integrity. The institution and its community need to provide structures, multiple positive and effective learning experiences, and clear guidelines to support both staff and students. In this chapter, we argue that academic integrity needs to be seen as a complex system, one in which everyone involved has responsibility to develop and maintain a culture of integrity and one which supports a student throughout their academic journey.

This study aims to explore the perception of algorithm accuracy among data professionals in higher education.

Social justice theory guided the qualitative descriptive study and emphasized four principles: access, participation, equity and human rights. Data collection included eight online open-ended questionnaires and six semi-structured interviews. Participants included higher education professionals who have worked with predictive algorithm (PA) recommendations programmed with student data.

Participants are aware of systemic and racial bias in their PA inputs and outputs and acknowledge their responsibility to ethically use PA recommendations with students in historically underrepresented groups (HUGs). For some participants, examining these topics through the lens of social justice was a new experience, which caused them to look at PAs in new ways.

Small sample size is a limitation of the study. Implications for practice include increased stakeholder training, creating an ethical data strategy that protects students, incorporating adverse childhood experiences data with algorithm recommendations, and applying a modified critical race theory framework to algorithm outputs.

The study explored the perception of algorithm accuracy among data professionals in higher education. Examining this topic through a social justice lens contributes to limited research in the field. It also presents implications for addressing racial bias when using PAs with students in HUGs.

Individual Placement and Support (IPS) is an evidence-based employment model, effective in supporting individuals with severe mental health difficulties to gain competitive employment. Irish mental health policy recognises its value and IPS is being rolled out in a national programme. Employment is recognised an important contributor to mental health recovery and social inclusion. However, research on IPS has tended to focus on competitive job outcomes. The purpose of this study was to explore the non-vocational outcomes of IPS in an Irish context.

A qualitative research approach was used to interview participants taking part in IPS within community mental health teams. Twelve interviews were included in the data analysis process which was informed by a thematic analysis approach.

Participants experienced increased confidence and positivity, both within a work context and whilst job seeking. More purposeful time use, participation in activities and engagement with society were also experienced by those employed and those at the job search stage of IPS.

This study contributes to the literature about the non-vocational benefits of IPS within an Irish context, highlights the mental health recovery benefits of taking part in IPS and supports the need for ongoing development of IPS throughout mental health services in Ireland.

To improve the academic integrity of online examinations, digital proctoring systems have recently been implemented in higher education institutions (HEIs). The paper aims to understand how digital proctoring has been practised in higher education (HE) and proposes future research directions for studying digital proctoring in HE.

A systematic literature review was conducted. The PRISMA procedure was adapted for the literature search. The topics were identified by topic modelling techniques from 154 relevant publications in seven databases.

Seven widely discussed topics in literature were identified, including solutions for detecting cheating and student authentication, challenges/issues of uptakes and students' performance in different proctoring environments.

This paper provides insights for academics, policymakers, practitioners and students to understand the implementation of digital proctoring in academia, its adoption by HEIs, impacts on students' and educators' performance and the rapid increase in its use for digital exams in HEIs, with particular emphasis on the impacts of the systems on digitalising examinations in HE.

This review paper has systematically and critically described the state-of-the-art literature on digital proctoring in HE and provides useful insights and implications for future research on digital proctoring, and how academic integrity in online examinations can be enhanced, along with digitalising HE.

Financial inclusion provides access to financial infrastructure, facilitating money transfers. Therefore, blockchain and cryptocurrencies might boost worldwide financial acceptance. However, the UAE has one of the lowest cryptocurrency adoption rates. This study explores the UAE customer adoption and use of cryptocurrencies.

Using a scale, the authors created a structural model and obtained 270 responses from a snowball-distributed online questionnaire, assessed by five cryptocurrency specialists.

Performance expectations (PE), price value (PV), Hedonic motivation (HM) and consumer innovativeness (CI) were the most significant predictors of behavioural intention (BI). Surprisingly, BI is not a reliable indication of actual consumption. Facilitating conditions (FC) are the most accurate predictor of cryptocurrency usage (CU), indicating that adoption might be increased by providing the necessary structures and processes to lead users.

This research adds to the body of knowledge by examining the adoption and implementation of cryptocurrencies in the UAE and by developing and evaluating new constructs based on current notions. The study also contributes to the current understanding of cryptocurrencies and blockchain adoption.

The conclusions of the research advise marketers on how to boost the commercialisation of cryptocurrencies in the UAE market and may pave the way for other studies to assist impending developments in the UAE cryptocurrency industry.

This research offers novel insights into significant predictors of cryptocurrency product uptake in the financial and banking business.