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Key to transnational higher education (HE) cooperation is building trust to allow for seamless recognition of studies. Building on the Tuning Educational Structures initiative (2001) and lessons learnt from the Organisation for Economic Cooperation and Development (OECD)-Assessment of Learning Outcomes in Higher Education (AHELO) feasibility study, this paper offers a sophisticated approach developed by the European Union (EU)-co-financed project Measuring and Comparing Achievements of Learning Outcomes in Europe (CALOHEE). These evidence the quality and relevance of learning by applying transparent and reliable indicators at the overarching and disciplinary levels. The model results allow for transnational diagnostic assessments to identify the strength and weaknesses of degree programmes.

The materials presented have been developed from 2016 to 2023, applying a bottom-up approach involving approximately 150 academics from 20+ European countries, reflecting the full spectrum of academic fields. Based on intensive face-to-face debate and consultation of stakeholders and anchored in academic literature and wide experience.

As a result, general (overarching) state-of-the-art reference frameworks have been prepared for the associated degree, bachelor, master and doctorate, as well as aligned qualifications reference frameworks and more detailed learning outcomes/assessment frameworks for 11 subject areas, offering a sound basis for quality assurance. As a follow-up, actual assessment formats for five academic fields have been developed to allow for measuring the actual level of learning at the institutional level from a comparative perspective.

Frameworks as well as assessment models and items are highly innovative, content-wise as in the strategy of development, involving renown academics finding common ground. Its value is not limited to Europe but has global significance. The model developed, is also relevant for micro-credentials in defining levels of mastery.

Crack detection of pavement is a critical task in the periodic survey. Efficient, effective and consistent tracking of the road conditions by identifying and locating crack contributes to establishing an appropriate road maintenance and repair strategy from the promptly informed managers but still remaining a significant challenge. This research seeks to propose practical solutions for targeting the automatic crack detection from images with efficient productivity and cost-effectiveness, thereby improving the pavement performance.

This research applies a novel deep learning method named TransUnet for crack detection, which is structured based on Transformer, combined with convolutional neural networks as encoder by leveraging a global self-attention mechanism to better extract features for enhancing automatic identification. Afterward, the detected cracks are used to quantify morphological features from five indicators, such as length, mean width, maximum width, area and ratio. Those analyses can provide valuable information for engineers to assess the pavement condition with efficient productivity.

In the training process, the TransUnet is fed by a crack dataset generated by the data augmentation with a resolution of 224 × 224 pixels. Subsequently, a test set containing 80 new images is used for crack detection task based on the best selected TransUnet with a learning rate of 0.01 and a batch size of 1, achieving an accuracy of 0.8927, a precision of 0.8813, a recall of 0.8904, an F1-measure and dice of 0.8813, and a Mean Intersection over Union of 0.8082, respectively. Comparisons with several state-of-the-art methods indicate that the developed approach in this research outperforms with greater efficiency and higher reliability.

The developed approach combines TransUnet with an integrated quantification algorithm for crack detection and quantification, performing excellently in terms of comparisons and evaluation metrics, which can provide solutions with potentially serving as the basis for an automated, cost-effective pavement condition assessment scheme.

This study explores the determinants of police officer support for pre-arrest/booking deflection programs that divert people presenting with substance use and/or mental health disorder symptoms out of the criminal justice system and connect them to supportive services.

This study analyzes responses from 254 surveys fielded to police officers in Delaware. Questionnaires asked about views on leadership, approaches toward crime, training, occupational experience and officer’s personal characteristics. The study applies a new machine learning method called kernel-based regularized least squares (KRLS) for non-linearities and interactions among independent variables. Estimates from a KRLS model are compared with those from an ordinary least square regression (OLS) model.

Support for diversion is positively associated with leadership endorsing diversion and thinking of new ways to solve problems. Tough-on-crime attitudes diminish programmatic support. Tenure becomes less predictive of police attitudes in the KRLS model, suggesting interactions with other factors. The KRLS model explains a larger proportion of the variance in officer attitudes than the traditional OLS model.

The study demonstrates the usefulness of the KRLS method for practitioners and scholars seeking to illuminate patterns in police attitudes. It further underscores the importance of agency leadership in legitimizing deflection as a pathway to addressing behavioral health challenges in communities.

This study explores how problem-based learning (PBL) programs can address Sustainable Development Goals (SDGs) via the higher education (HE) curriculum, teaching materials and relevant assessments, supporting learning at scale for HE institutions.

Employing SDGs and their indicators as the coding framework, our two-phase study evaluates the curriculum and teaching materials of seven PBL programs at a leading higher education institution (HEI). The first phase involved a content analysis to assess the degree of sustainability integration in 156 relevant courses. The second phase applied a semi-automated mapping protocol to analyze learning and teaching materials in 120 relevant courses.

The school aligns with 17 SDGs (100%), covering 94 indicators (55.62%). On average, each program within the school addresses over ten of these goals and incorporates more than 24 associated indicators. However, the study reveals an imbalance in the incorporation of SDGs, with some goals not yet deeply and comprehensively embedded in the curriculum. While there is a substantial focus on sustainability theories, the practical implications of SDGs in emerging countries, particularly through case studies and assessments, require significant enhancement.

Mapping SDGs allows HEIs to identify strengths and gaps in SDG integration, thereby improving the PBL approach to enhance student work readiness in sustainability-focused careers.

Through the lens of transformative learning theory, this study provides evidence of SDG integration into PBL curricula. It highlights a mapping methodology that enables HEIs to evaluate their sustainability readiness in curriculum, teaching materials and relevant assessments.

The level of deterioration of educational facilities, such as leaking classroom roofs, inadequate good seats, obsolete offices, broken shutters and doors, outdated school buildings, power plants and office equipment like ICT media, laboratories, offices and workshops, despite the involvement of Alumni association in the maintenance of educational facilities for the effective actualization of school objectives was a worrisome nightmare in Kogi state. This, therefore, prompted the researchers to explore the Alumni’s participation in plant maintenance for effective implementation of the universal basic education (UBE) programme in public junior secondary schools in Kogi state. The purpose of this study was guided by the research question which stated that to what extent does the Alumni Association participate in plant maintenance for effective implementation of the UBE programme in public junior secondary schools in Kogi state?

A quantitative research approach using a descriptive survey was adopted for the study. The sample was drawn using a proportionate stratified sampling technique comprising 387 participants which consisted of 191 (49%) urban junior secondary school principals and 196 (51%) rural principals in selected UBE junior secondary schools. Alumni’s Participation in Plant Maintenance Questionnaire was used as an instrument for data collection. The data were analysed with the aid of mean and standard deviation for the research question and z-test statistics at 0.05 level of significance and the value of z-crit. of 1.96 was used to determine the rejection or otherwise of the hypotheses.

The descriptive analysis revealed that the average mean set of 2.64 pointed to the fact that the respondents averagely agreed that there was a high extent to which Alumni participate in plant maintenance in urban than rural areas for effective implementation of the UBE programme in public junior secondary schools in Kogi state. This indicates that Alumni contribute to the management of UBE schools in Kogi state, especially in the areas of funding, infrastructural facilities, discipline, politics and quality control. This finding also shows that the contributions of the alumni to educational institutions are still unclear if they have made contributions to education in some areas and none in other areas making their relevance to plant maintenance unclear.

In terms of practical implications, the study has contributed to knowledge in that it is the first of this form of a study carried out in Kogi state, and as such the findings of the research will make contributions to the physique of information on plant maintenance for the profitable implementation of the UBE programme in Kogi state. Besides, the degree of plant preservation for the implementation of the UBE programme among applicable stakeholders in Kogi state is nevertheless at a low extent.

Researchers have conducted studies that show how non-state Alumni members contribute to the administration of education across different states. Some of these studies revealed that Alumni members have assisted schools in the provision of teaching and learning materials at the senior secondary or tertiary education level. There are no sufficient studies to show how these Alumni members have contributed to the implementation of the free education programme, especially in public junior secondary schools in Kogi state and this is the gap this study intends to fill.

This paper aims to provide a historical overview of AA, its purpose and benefits, the legal rationale for the SCOTUS ruling and what it means for colleges and the workplace regarding equitable opportunities for minority groups (which include women, Blacks, Hispanics, Asians and other low-income populations), as they aim for the “American dream”.

SCOTUS decision and rationale, along with literature.

The race-based affirmative action (AA) precedent was recently overturned by the Supreme Court of the United States (SCOTUS) in the case of Students for Fair Admission (SFFA), Inc. vs President and Fellows of Harvard College/University of North Carolina. SCOTUS ruled that race cannot be a specific basis for college admission. In other words, public and private colleges and universities will no longer be able to consider “race” as a factor in deciding which qualified applicants should be admitted to enhance the diversity of their student body.

This is an original analysis.

Digitalisation is reshaping the learning process, shifting it towards personalisation and online learning, and fuelling the growth of massive open online courses (MOOCs) and micro-credentials. Despite being a popular global trend, limited studies have looked at micro-credentials and their impact on learners' behavioural outcomes. The purpose of this study is to investigate the impact of programme design factors on learning experience, as well as the inter-relationships between programme design, learning experience and behavioural responses (e.g. engagement and willingness to pay more (WTPM)) towards micro-credentials. In addition, the study aims to investigate learning enjoyment as a moderator.

A survey questionnaire was used to collect data from 354 respondents who are working adults living in the major economic states in Malaysia. Data analysis was performed using the analysis of a moment structures (AMOS) statistical software and SPSS (Statistical Package for the Social Sciences) PROCESS macro.

The results show the significance of programme design factors (i.e., flexibility, system quality and content quality) in determining the learning experience. The learning experience is found as a mediator in the relationship between programme design factors and learner engagement and WTPM. In addition, the moderation assessment confirms that enjoyment during learning strengthens the relationship between experience and behavioural responses.

This study is amongst a few selected studies that focus on engagement in and WTPM for micro-credentials. In addition, it emphasises the mediating role of the learning experience and the moderating role of enjoyment in understanding the impact of programme design on learners' experiences and behavioural responses.

In this article, the outcomes of a survey aimed to investigate how aware of and how capable coaches in higher vocational Dutch education perceive themselves to assist students displaying mental health and well-being issues are presented. Additionally, the article explores coaches’ perceptions regarding the frequency, form of help offered, topics to be tackled and the preferred form in which this help should be provided.

The author conducted a survey that gathered qualitative and quantitative data from coaches (N = 82) at a Dutch University of Applied Sciences in the north of the Netherlands. A differentiation in coaches’ number of years of teaching and coaching experience was considered.

The outcomes of the data analyses showed that overall, coaches claimed to be very aware of students’ mental health and well-being-related issues and that female coaches tend to be more aware of these than male coaches. The group of coaches with 5–25 years of coaching experience resulted in being less trained to notice when students struggle with mental health and well-being issues. Overall, coaches indicated to be tentatively willing to assist such students and reported to have a rather low ability and capability to assist students who displayed mental health and well-being issues. More than half of the respondents declared that “face to-face” was the most appropriate approach to address mental health and well-being topics, and most of the respondents (43%) answered that it should be “offered at student’s request.” Some suggested topics to be offered were stress, depression, anxiety, study-related issues, study motivation, persistence, emotional intelligence and emotional resilience. Coaches proposed to be provided with trainings that equip them with the necessary knowledge, tools, and concrete mental health and well-being topics that could be addressed during coaching. Additionally, there should be a clear distinction between professional mental health help and coaching for mental health and well-being in universities.

There were very few studies that reported on coaching for mental health and well-being in higher education after the Covid-19 pandemic in the Netherlands to compare the results with; the sample size of this survey was small; the survey was designed to capture only the coaches’ perceptions on students’ mental health-related issues.

By performing this survey, more empirical knowledge is added regarding higher education coaches’ perception of their awareness, willingness, capability and ability to assist students who display mental health and well-being issues in general, and students affected by the impact of the Covid-19 pandemic in particular. Furthermore, insights regarding higher education coaches’ perception on the frequency, form of the help offered, topics to be tackled and form in which this help to be offered were gathered.

By performing this survey, more empirical knowledge is added regarding higher education coaches’ perception of their awareness, willingness, capability and ability to assist students who display mental health and well-being issues in general, and students affected by the impact of the Covid-19 pandemic in particular. Furthermore, insights regarding higher education coaches’ perception of the frequency, form of the help offered, topics to be tackled and the preferred form in which this help should be offered were gathered.

The purpose of the article is to contribute to the body of research on digital transformation among members of the supply chain operating in an emerging economy. This paper researches the digital transformation trends happening across Vietnamese supply chains, by investigating the current adoption rates, predicted impact levels and financial investments being made in key Industry 4.0 technologies.

By using a semi-structured online survey, the experiences of 281 supply chain professionals in Vietnam were captured. Subsequently, statistical techniques examining variances in means, regression analysis and Monte Carlo simulation were applied.

The findings of this study offer a comprehensive understanding of Industry 4.0 technology in Vietnam, highlighting the prevalent technologies being prioritized. Big data analytics and the Internet of things are expected to have the most substantial impact on businesses over the next 5–10 years and have received the most financial investment. Conversely, Blockchain is perceived as having less potential for future investment. The study further identifies several technological synergies, such as combining advanced robotics, artificial intelligence and the Internet of things to build effective and flexible factories, that can lead to more comprehensive solutions. It also extends diffusion of innovation theory, encompassing investment and impact considerations.

This study offers valuable insights into the impact and financial investment in Industry 4.0 technologies by Vietnamese supply chain firms. It provides a theoretical contribution via an extension of the diffusion of innovation theory and contributes toward a better understanding of the current Industry 4.0 landscape in developing economies. The findings have significant implications for future managerial decision-making, on the impact, viability and resourcing needs when undertaking digital transformation.

Drawing on the microfoundations theory and rational choice sociology, this study aims to investigate knowledge-sharing microfoundations through knowledge sabotage behaviours in the workplace. As such, it aims to shed light on the adverse impact of knowledge sabotage on a knowledge-sharing climate.

As a quantitative deductive study, it is based on information collected from 329 employees of European companies by self-administered online surveys. Data validity and reliability has been assessed through a confirmatory factor analysis, and data analysis was carried out by using a covariance-based structural equation modelling technique.

The findings from the empirical investigation supported the baseline hypotheses of the multilevel conceptual model, which is the positive relationship between organizational trust and environmental knowledge sharing. Then, recurring to a microfoundational exploration, this study supports the mediating indirect effect of job satisfaction and knowledge sabotage in affecting knowledge sharing as a social outcome.

This study concurs to broaden knowledge-sharing awareness among scholars and practitioners, by focusing on knowledge sabotage as its most pernicious counterproductive behaviour. Furthermore, this research provides valuable guidance for the future development of research based on multilevel investigations.

This study builds on the need to explore the numerous factors that affect knowledge sharing in economic organizations, specifically focusing on knowledge sabotage. Adapting Coleman’s bathtub, the authors advance the first multilevel conceptual model used to unveil the knowledge-sharing microfoundations from the perspective of a counterproductive knowledge behaviour.