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Using a Problem Based Learning (PBL) approach, this paper examines whether internships can stand as a viable alternative to Higher Degree Apprenticeships (HDAs) within the UK Higher Education (HE) context. It was a process that was undertaken to identify work-integrated schemes as a part of a curriculum portfolio transformation project. This presented itself as a strategic avenue capable of fostering a competitive advantage (strategic differentiation), particularly in enhancing graduate employability through a differentiation in pedagogy employing Work-Integrated Learning (WIL).

This paper applied a PBL approach comprising of five distinct stages based on the McMaster Five-Point Strategy. This included the Problem Identification, Generating Solutions through a review of relevant literature and a case study, using an evaluation matrix to identify the best solution to Decide a Course of Action, Implementing the Solution and Evaluating the Solution. It presents an institutional and curriculum change project.

WIL can offer both strategic differentiation, an organisational distinctiveness within HE and Pedagogical differentiation, such as embedding internships in curriculum. This can be achieved by creating clear guidelines and expected outcome frameworks, bespoke feedback templates and enhanced collaboration, Experiential Learning pedagogy in the curriculum and the inclusion of other forms of WIL to further diversify and create a WIL organisational culture.

Practitioner use of applying problem-solving models for work-integrated curriculum planning.

We present a confluence of the concepts strategic differentiation and pedagogical differentiation using WIL as a conduit. We present this using a PBL evaluative review approach. The paper’s distinct contribution manifests in the formulation of three pivotal recommendations.

Due to the extremely complicated and unpredictable outside world, using and unlocking the potential of learning agility (LA) has become a key part of making businesses more competitive, and there is a lot of new research being produced on this topic very quickly. Thus, this study aims to carry out a bibliometric analysis to systematically analyse the existing literature on LA and propose an integrated framework depicting various predictors, mediators and outcome variables covered in the LA research. Moreover, this study lays out a rich and detailed agenda for future research and enhances understanding of LA by suggesting future research questions.

This study applied bibliometric analysis using the Scopus database. This study applied bibliometric analysis and cluster analysis to examine the contributions of research constituents (authors, institutions, countries and journals) and their structural and thematic relationships (co-citation network and thematic trends). The most important insights were used to propose an integrated conceptual model.

Based on the results of the performance analysis, this study discovered that the USA is the most productive country in this research field, followed by Belgium, Australia, Korea and India. In addition, the findings highlight the most prominent journals, authors and countries contributing to LA, document citations and theories contributing to the field of LA. This study identifies four emerging future research themes (clarity of construct, identification of variables to be studied with LA, strategies enhancing LA and context of study) and proposes subsequent research questions using science mapping analysis.

A review of existing literature on LA provides a clear understanding of the current and future state of research on this topic. And, from a practical standpoint, this study highlights emergent clusters that will help practitioners build LA as a tactical reaction to the current volatile, uncertain, complex and ambiguous environment.

This study is relevant as it aims to systematically review articles on LA and proposes an integrated conceptual framework based on existing literature that will serve as a guide for existing and future research in this area.

This paper aims to focus on academic library managers’ learning practices in the context of cooperative work supported by computational artefacts. Academic library managers’ everyday work is mainly cooperative. Their cooperation is supported predominantly by computational artefacts. Learning how to use the computational artefacts efficiently and effectively involves understanding the changes in everyday work that affect managers and, therefore, it requires deep understanding of their cooperative work practices.

Focused ethnography was conducted through participant observations, interviews and document analysis. Ten managers from a university library in Sweden participated in the research. A thematic method was used to analyse the empirical material. Computer supported cooperative work (CSCW) and work-integrated learning was used as the conceptual lens.

Five learning practices were identified: collaboration, communication, coordination, decision-making processes and computational artefacts’ use. The findings show that learning is embedded in managers’ cooperative work practices, which do not necessarily include sufficient training time. Furthermore, learning was intertwined with cooperating and was situational. Managers learned by reflecting together on their own experiences and through joint cooperation and information sharing while using the computational artefacts.

The main contribution lies in providing insights into how academic library managers learn and cooperate in their everyday work, emphasizing the role of computational artefacts, the importance of the work context and the collective nature of learning. It also highlights the need for continual workplace learning in contemporary knowledge work environments. Thus, the research generates contributions to the informatics field by extending the understanding of managers’ work-integrated learning in their everyday cooperative work practices supported by computational artefacts’ use. It also contributes to the intersection of CSCW and work-integrated learning.

Within the umbrella of technology and vocational education (TVET), technology or technical education in higher institutions of learning is obligated to produce the required manpower needed in the industry. Thus, it is pertinent to explore the interaction between the industry and higher education students. Drawing on the tenets of theory of planned behavior (TPB), this study offers valuable insights into the nomological networks of work-integrated learning (WIL), perceived behavioral control (PBC), subjective norm (SBN), personal attitude (PAT) and job search intention (JSI).

The study applied a structurally hypothesized model that was drawn from the TPB to collect data for the constructs. Using a cross-sectional survey after the WIL experiences of the students, we collected data from technology education undergraduates (N = 214) in their final academic year from universities in Nigeria.

With structural equation modeling, the study found that WIL is directly associated with JSI, PBC, SBN and PAT. In line with the tenets of the TPB, simple mediation models were supported about the influence of WIL on JSI via PBC and PAT discretely but not via SBN. Further, the results support two paths of serial mediation models, indicating sequential indirect links between WIL and JSI via SBN and PBC, as well as via SBN and PAT.

Our findings have implications for higher education practitioners, industry experts and employers of labor.

Although extant literature has relatively shown that WIL impacts employability skills, this study has remarkably shown the WIL-JSI nexuses within the variables of TPB.

As video-based interventions are continuously utilized as alternatives to physical site visits, directing students' attention to specific learning contents within videos could increase their comprehension and stimulate their interest. Students' knowledge of construction practice can be reinforced, misconceptions and improper inferences can be reduced by calling out significant learning concepts. However, few studies have formalized practice concepts that could be beneficial in preparing students for the workplace. This paper presents an investigation of construction practice concepts, based on site visits that would be beneficial in complimenting classroom teaching to prepare students for the realities of practice.

A mixed methods research approach was employed combining qualitative and quantitative data collection and analysis. An online questionnaire, semi-structured interviews and a focus group were conducted with industry practitioners and instructors to identify the topics and practice concepts significant for supporting classroom teaching with site visits.

The findings suggest that the most relevant topics typically supported with site visits are preconstruction management, excavation and foundation work, construction equipment, construction means and methods, project management, road construction, sustainability, building systems, structures, construction technology, building construction, capstone, site logistics and safety. Practice concepts were identified for each of these topics.

The study will guide researchers in the design of video-based pedagogical tools to be used as an effective complement of or alternative to site visit experiences. The findings will support instructors on how to structure their teaching practices to prepare students for some of the complexities of the workplace.

This study adds value to the existing literature by providing insights into industry perception of practice concepts for complementing classroom teaching.

Work-study programmes aim to support young adults transitioning from tertiary education to work and contribute to enhancing their employability. The purpose of this study is to provide a detailed analysis of the learning experiences of trainees in work-study programmes within the broad field of engineering.

The data gathering procedures used interviews with participants of a specific work-study programme and conducting thematic analyses to identify and understand the motivations of these adults for enrolling in work-study programmes and their associated workplace learning experiences. Fifty-two alumni of electrical and logistics engineering programmes completed 12 months of a separate work-study programme and consented to participate in an hour-long interview. They elaborated upon their work-learn experiences to explicate their work-learn needs and challenges in those interviews.

Findings include workplaces facilitated skills development through providing combinations of work tasks comprising both routine and novel work assignments; challenging circumstances at the workplace provided trainees with opportunities to develop adaptive capacities; and engaging in non-routine work processes fosters integration into the engineering workplace community.

The findings contribute to the existing literature by exemplifying how routine engineering activities are practical affordances through which engineering trainees construct knowledge and dispositions for engaging in challenging, non-routine engineering work. Such experiences are crucial in preparing trainees for advanced roles in logistics or electronic sectors.

The current synthesis study was conducted to locate comprehensive perspectives about the transformation of higher education institutions from being the only places where formal education programs are offered into settings where lifelong learning can be integrated. This demands an inquiry through not only instance investigation but also a more comprehensive evidence upsurge which has great importance in obtaining lessons and drawing conclusions from existing facts to show how higher education institutions can be places where lifelong learning is promoted for the good of both individuals and societal advancement.

Using a meta-synthesis methodology, a comprehensive overview of the current state of knowledge in the area of higher education institutions' role in promoting lifelong learning was synthesized.

The study identified wide-ranging lifelong learning conceptualizations, potential beneficiaries, learning contents and ways of delivery that can be applied in higher education institutions. Furthermore, the practical challenges, partnership and coordination concerns and policy and reform issues towards promoting lifelong learning were addressed.

This meta-synthesis provides crucial evidence for higher education policymakers and practitioners seeking to guide the transformation of their institutions into settings where lifelong learning is integrated with other forms of educational programs, thereby optimizing individual's professional development and societal progress.

This research paper aims to analyze the scientific and grey literature on Quality 4.0 and zero-defect manufacturing (ZDM) frameworks to develop an integrated quality 4.0 framework (IQ4.0F) for quality improvement (QI) based on Six Sigma and machine learning (ML) techniques towards ZDM. The IQ4.0F aims to contribute to the advancement of defect prediction approaches in diverse manufacturing processes. Furthermore, the work enables a comprehensive analysis of process variables influencing product quality with emphasis on the use of supervised and unsupervised ML techniques in Six Sigma’s DMAIC (Define, Measure, Analyze, Improve and Control) cycle stage of “Analyze.”

The research methodology employed a systematic literature review (SLR) based on PRISMA guidelines to develop the integrated framework, followed by a real industrial case study set in the automotive industry to fulfill the objectives of verifying and validating the proposed IQ4.0F with primary data.

This research work demonstrates the value of a “stepwise framework” to facilitate a shift from conventional quality management systems (QMSs) to QMSs 4.0. It uses the IDEF0 modeling methodology and Six Sigma’s DMAIC cycle to structure the steps to be followed to adopt the Quality 4.0 paradigm for QI. It also proves the worth of integrating Six Sigma and ML techniques into the “Analyze” stage of the DMAIC cycle for improving defect prediction in manufacturing processes and supporting problem-solving activities for quality managers.

This research paper introduces a first-of-its-kind Quality 4.0 framework – the IQ4.0F. Each step of the IQ4.0F was verified and validated in an original industrial case study set in the automotive industry. It is the first Quality 4.0 framework, according to the SLR conducted, to utilize the principal component analysis technique as a substitute for “Screening Design” in the Design of Experiments phase and K-means clustering technique for multivariable analysis, identifying process parameters that significantly impact product quality. The proposed IQ4.0F not only empowers decision-makers with the knowledge to launch a Quality 4.0 initiative but also provides quality managers with a systematic problem-solving methodology for quality improvement.

The Internet of Things (IoT) offers substantial potential for improving efficiency and effectiveness in various applications, notably within the domain of smart construction. Despite its growing adoption within the Architecture, Engineering, and Construction (AEC) industry, its utilization remains limited. Despite efforts made by policymakers, the shift from traditional construction practices to smart construction poses significant challenges. Consequently, this study aims to explore, compare, and prioritize the determinants that impact the acceptance of the IoT among construction practitioners.

Based on the integrated model of Unified Theory of Acceptance and Use of Technology (UTAUT2), Task-Technology Fit (TTF), and perceived risk. A cross-sectional survey was administered to 309 construction practitioners in China, and the collected data were analyzed using structural equation modeling (SEM) to test the proposed hypotheses.

The findings indicate that TTF, performance expectancy, effort expectancy, hedonic motivation, facilitating conditions, and perceived risk exert significant influence on construction practitioners’ intention to adopt IoT. Conversely, social influence and habit exhibit no significant impact. Notably, the results unveil the moderating influence of gender on key relationships – specifically, performance expectancy, hedonic motivation, and habit – in relation to the behavioral intention to adopt IoT among construction practitioners. In general, the model explains 71% of the variance in the behavioral intention to adopt IoT, indicating that the independent constructs influenced 71% of practitioners’ intentions to use IoT.

These findings provide both theoretical support and empirical evidence, offering valuable insights for stakeholders aiming to gain a deeper understanding of the critical factors influencing practitioners’ intention to adopt IoT. This knowledge equips them to formulate programs and strategies for promoting effective IoT implementation within the AEC field.

This study contributes to the existing literature by affirming antecedents and uncovering moderators in IoT adoption. It enhances the existing theoretical frameworks by integrating UTAUT2, TTF, and perceived risk, thereby making a substantial contribution to the advancement of technology adoption research in the AEC sector.

In light of the expanding prominence of work-integrated learning (WIL), the pedagogical model that integrates work experiences into an academic curriculum, this paper presents a systematic review that uncovers little-explored students’ reflections of quality (RoQ).

Drawing on the concept of wayfinding rocks and Bronfenbrenner’s (1979) ecological systems theory, the “students’ RoQ (pronounced [ROK]) WIL model” offers guidance for future research, policy development and educational interventions aimed at optimizing students' experiences of WIL.

This paper highlights RoQ WIL through student voice. The outcomes offer a model, contributing insights for institutions, employers and students involved in WIL experiences.

While the study addresses specific limitations such as the use of specific search terms and potential biases, future research is needed to explore cultural capital’s influence on WIL quality. A focus on broadening the scope of data collection to include a more comprehensive range of student perspectives is needed.

The paper suggests practical implications for institutions, employers and educators in designing WIL programs that prioritize student perspectives, ultimately enhancing the quality of WIL experiences.

By focusing on students' RoQ in WIL, this paper fills a significant gap in the literature and provides a foundation for future research and practice in optimizing WIL engagement and outcomes.