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The information technology (IT) sector has been seen as central to society's transformation to a more just and sustainable society, which underlines teachers’ responsibility to foster engineers who can contribute specifically to such ends. This study aims to report an effort to significantly update an existing engineering programme in IT with this ambition and to analyse the effects and challenges associated with the transformation.

This study is based on a combination of action-oriented research based on implementing key changes to the curriculum; empirical investigations including surveys and interviews with students and teachers, and analysis of these; and a science and technology studies-inspired analysis.

Respondents were generally positive towards adding topics relating to sustainability. However, in the unmaking of traditional engineering subjects, changes created a conflict between core versus soft subjects in which the core subjects tended to gain the upper hand. This conflict can be turned into productive discussions by focusing on what kinds of engineers the authors’ educate and how students can be introduced to societal problems as an integrated part of their education.

This study can be helpful for educators in the engineering domain to support them in their efforts to transition from a (narrow) focus on traditional disciplines to one where the bettering of society is at the core.

This study provides a novel approach to the transformation of engineering education through a theoretical analysis seldom used in studies of higher education on a novel case study.

Participation of women in engineering education is considerably low in India, although it is increasing in recent years. Also, engineering is primarily treated as a male-dominated profession, and the authors do not find many women in this sector. What factors contribute to this significant gender differences in engineering education and labour market in India? In this context, this study aims to examine the factors that explain the gender variations in academic performance and labour market outcomes (placement and earnings) of engineering graduates in India.

The paper is based on primary survey data from fourth-year engineering students in Delhi, collected in 2018–2019, with a total sample size of 3186. The study uses Ordinary least square method (OLS) and Heckman selection model to analyse gender differences in academic performance and labour market outcomes of engineering graduates, respectively.

The study finds that academic performance of male students is around 10.4% more than female students. However, this difference is heavily influenced by various socioeconomic and institutional factors. Interestingly, 3% of female engineering graduates have received more job offers than males, which contradicts the common belief that women engineers face job discrimination in the labour market in India. However, the authors find that male engineers earn around 7% more than female engineers shows the evidence of pro-male gender wage inequality in earnings. The findings support that there is a considerable variation in academic performance and earnings between male and female engineering graduates.

While the authors find some literature in the area of gender difference in the academic performance and labour market among university graduates in India, studies in the field of engineering education are sparse. In a context where fewer women are found in the field of engineering education along with low participation in the labour market, the findings of this study significantly contribute to the policy making.

Considering the relevance of education for sustainable development (SD) to enhancing engineers’ abilities to contribute towards sustainability-related issues, this study aims to help understand the global context of the insertion of SD into engineering education and to provide guidelines to further evolve research and efforts towards implementing Engineering Education for Sustainable Development (EESD).

This study performed a longitudinal analysis using bibliometrics and a content analysis via Conceive–Design–Implement–Operate standards. SciMAT software was used to support the bibliometric analysis.

In addition to an increase in the practical aspects presented due to a change in the approaches taken to examine key topics, evidence on important concepts such as “life cycle assessment” and “digitalisation” increased in more recent years. However, it was possible to show that, despite the evolution observed throughout the years, several important opportunities exist for engineering programmes to improve and, for researchers, to fill the related gaps in the research.

This study can be used as a guide for future research and as a source of insights for EESD implementation and improvement.

Social engineering is crucial in today’s digital landscape. As technology advances, malicious individuals exploit human judgment and trust. This study explores how age, education and occupation affect individuals’ awareness, skills and perceptions of social engineering.

A quantitative research approach was used to survey a diverse demographic of Egyptian society. The survey was conducted in February 2023, and the participants were sourced from various Egyptian social media pages covering different topics. The collected data was analyzed using descriptive and inferential statistics, including independent samples t-test and ANOVA, to compare awareness and skills across different groups.

The study revealed that younger individuals and those with higher education tend to research social engineering more frequently. Males display a higher level of awareness but score lower in terms of social and psychological consequences as well as types of attacks when compared to females. The type of attack cannot be predicted based on age. Higher education is linked to greater awareness and ability to defend against attacks. Different occupations have varying levels of awareness, skills, and psychosocial consequences. The study emphasizes the importance of increasing awareness, education and implementing cybersecurity measures.

This study’s originality lies in its focus on diverse Egyptian demographics, innovative recruitment via social media, comprehensive exploration of variables, statistical rigor, practical insights for cybersecurity education and diversity in educational and occupational backgrounds.

The purpose of the current study is to assess Omani teachers’ performance on tasks related to the stages of engineering design. To achieve this, data from an engineering design test was used, and demographic variables that are correlated with this performance were identified.

This descriptive study employed a cross-sectional design and the collection of quantitative data. A sample of preservice science teachers from Sultan Qaboos University (SQU) (n = 70) participated in this study.

Findings showed low and moderate levels of proficiency related to the stages of engineering design. Differences between males and females in terms of performance on engineering design tasks were found, with females scoring higher overall on the assessment. Biology preservice teachers scored higher than teachers from the other two majors (physics and chemistry) in two subscales. There were also differences between teachers studying in the Bachelor of Science (BSc) program and the teacher qualification diploma (TQD) program.

This study provides an overview, in an Arab setting, of preservice science teachers’ proficiency with engineering design process (EDP) tasks. It is hoped that the results may lead to improved instruction in science teacher training programs in similar contexts. Additionally, this research demonstrates how EDP competency relates to preservice teacher gender, major and preparation program. Findings from this study will contribute to the growing body of research investigating the strengths and shortcomings of teacher education programs in relation to science, technology, engineering and mathematics (STEM) education.

Following the recent rise in generative artificial intelligence (GenAI) tools, fundamental questions about their wider impacts have started to reverberate around various disciplines. This study aims to track the unfolding landscape of general issues surrounding GenAI tools and to elucidate the specific opportunities and limitations of these tools as part of the technology-assisted enhancement of mechanical engineering education and professional practices.

As part of the investigation, the authors conduct and present a brief scientometric analysis of recently published studies to unravel the emerging trend on the subject matter. Furthermore, experimentation was done with selected GenAI tools (Bard, ChatGPT, DALL.E and 3DGPT) for mechanical engineering-related tasks.

The study identified several pedagogical and professional opportunities and guidelines for deploying GenAI tools in mechanical engineering. Besides, the study highlights some pitfalls of GenAI tools for analytical reasoning tasks (e.g., subtle errors in computation involving unit conversions) and sketching/image generation tasks (e.g., poor demonstration of symmetry).

To the best of the authors’ knowledge, this study presents the first thorough assessment of the potential of GenAI from the lens of the mechanical engineering field. Combining scientometric analysis, experimentation and pedagogical insights, the study provides a unique focus on the implications of GenAI tools for material selection/discovery in product design, manufacturing troubleshooting, technical documentation and product positioning, among others.

The purpose of this study is to scrutinize the influence of individual learning styles on the effectiveness of augmented reality (AR)-based learning in structural engineering. There has been a lack of research examining the correlation between learning efficiency and learning style, particularly in the context of quantitatively assessing the efficacy of AR in structural engineering education.

Using Kolb’s experiential learning theory (ELT), a model that emphasizes learning through experience, students from the construction management department are assigned four learning styles (converging, assimilating, diverging and accommodating). Performance data were gathered, appraised, and compared through the three dimensions from the Knowledge, Attitude and Practices (KAP) survey model across four categories of Kolb’s learning styles in both text-graph (TG)-based and AR-based learning settings.

The findings indicate that AR-based materials positively impact structural engineering education by enhancing overall learning performance more than TG-based materials. It is also found that the learning style has a profound influence on learning effectiveness, with AR technology markedly improving the information retrieval processes, particularly for converging and assimilating learners, then diverging learners, with a less significant impact on accommodating learners.

These results corroborate prior research analyzing learners' outcomes with hypermedia and informational learning systems. It was found that learners with an “abstract” approach (convergers and assimilators) outperform those with a “concrete” approach (divergers and accommodators). This research emphasizes the importance of considering learning styles before integrating technologies into civil engineering education, thereby assisting software developers and educational institutions in creating more effective teaching materials tailored to specific learning styles.

When implemented effectively and systematically across a curriculum, high impact practices (HIP) have the potential to increase student engagement and result in higher student achievement. The United States Air Force Academy (USAFA) is a four-year military university with a large liberal education core curriculum that provides the foundation for service and officership in the United States Air or Space Forces. Building on the liberal education core, the civil engineering (CE) major’s courses begin with the cornerstone field engineering course, paired with a two-week co-curricular experience for students at an Air or Space Force installation. With its motto “construct first, design later,” the field engineering course is an HIP and quintessential experiential learning course that gives students a practical frame-of-reference for future analysis and design courses. The CE major culminates with another HIP, the capstone design course, which gives students the opportunity to demonstrate their skills, building confidence in their ability to successfully apply those skills to the increasingly complex problems they will face after graduation. This book chapter provides a case study of the CE major at the USAFA, documenting the HIPs across the majors’ program, and highlighting the key elements and benefits of each.

In today’s highly competitive global business environment, there is a growing demand for professionals who possess well-developed soft skills. Such abilities include flexibility, effective communication and other skills. Soft skills are personal attributes and qualities that are more closely related to the emotional side of human beings. Individuals must cultivate and hone soft skills during their undergraduate studies. These skills, also known as interpersonal or non-technical skills, are essential to complement hard skills and pave the way for a thriving career trajectory. Soft skills are developed over the course of one’s career and are indispensable in establishing a strong, professional presence in the corporate or academic realm. The field of engineering is no exception in this regard, and the business approach during the engineering course is of significant relevance. By acquiring soft skills, engineering graduates will become competitive and adaptable professionals capable of handling the current and future challenges of the job market. The purpose of this study is to investigate the soft skills that students perceive as being better developed during their business classrooms in the engineering course and identify areas for improvement in the business education process.

The research method consisted in four different phases from variables identification to statistical analyses. Then, as part of this approach a structured questionnaire was administered at the end of the engineering course, where students rated their perception of the degree of development of each of the soft skills covered in the course on a scale of zero to ten. The collected data were analysed using multivariate analysis techniques, including factorial analysis.

The results of the study demonstrate that the set of skills acquired by individuals in business classrooms pursuing a degree in industrial engineering is in high demand by potential employers. Such skills are deemed essential for the successful operation of businesses in modern-day industries. The findings of this research validate the significant role that industrial engineering students play in fulfilling the requirements of the job market and pave the way to meaningful insights on how to approach this topic during the business education process in engineering courses.

The findings bring about significant insights for national educational councils and ministries, universities and educational stakeholders in the process of updating, rethinking and implementing new curricula criteria in higher education, particularly in the Latin American context.

This paper enriches the literature by assessing the development of soft skills of engineering students in the Latin American context. The research reinforces the importance of developing soft skills aligned with those required for the context of current and future labour markets.

This study examines whether students graduating from SSC-VOC perform better in diploma engineering programs.

This study uses quantitative and qualitative methods to examine how secondary school certificate-vocational (SSC-VOC) graduates perform in their subsequent vocational programs.

Despite having vocational training orientation, this study finds that graduates from SSC-VOC receive lower grades than their public counterparts by 0.109 cumulative grade points average (CGPA).

Findings imply that policymakers should increase teachers' numbers, salaries and laboratory facilities. In addition, collaboration between SSC-VOC institutions and polytechnics would allow them to offer a quality engineering education. In such a way, technical and vocational education and training (TVET) programs prepare human resources to promote economic development and employment, expand production opportunities and improve employment quality.

This is the first piece of work conducted in Bangladesh that has examined the quality of VET graduates for furthering their studies. This study added value by providing some pragmatic suggestions for practical implications.