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Today’s global transformation processes and sustainability issues, lead to challenges and modified competence requirements that the engineering sciences have to face. In addition to digitalization as a major influencing factor, graduates need to be prepared to develop complex and interdisciplinary solutions in teams. Engineering sciences have to take up the challenges to provide suitable engineering curricula for a divers and a broader target group (e.g. non-technical and female students); especially in light of the current shortage of qualified specialists. As a consequence, there is a need for evidence-based innovative curriculum design dealing with diversity and heterogeneous target groups and encouraging interdisciplinary approaches. This paper contributes threefold to that discourse on transformation processes and diversity aspects in Engineering Education: (1) by considering gender-specific data in Engineering Higher Education and Engineering Education Research (EER); (2) by presenting a qualitative study, which analyses gender-specific curriculum design requirements; and (3) by introducing a research-based bachelor’s program for a divers target group. Today’s global transformation processes and sustainability issues, lead to challenges and modified competence requirements that the engineering sciences have to face. In addition to digitalization as a major influencing factor, graduates need to be prepared to develop complex and interdisciplinary solutions in teams. Engineering sciences have to take up the challenges to provide suitable engineering curricula for a divers and a broader target group (e.g. non-technical and female students); especially in light of the current shortage of qualified specialists. As a consequence, there is a need for evidence-based innovative curriculum design dealing with diversity and heterogeneous target groups and encouraging interdisciplinary approaches. This paper contributes threefold to that discourse on transformation processes and diversity aspects in Engineering Education: (1) by considering gender-specific data in Engineering Higher Education and Engineering Education Research (EER); (2) by presenting a qualitative study, which analyses gender-specific curriculum design requirements; and (3) by introducing a research-based bachelor’s program for a divers target group.

Globally, the future of work is changing with organisations increasingly reliant on Science, Technology, Engineering and Mathematics (STEM) skills and related expertise. In developing countries such as Nigeria, professionals with these skills and expertise are also in high demand. With changes in healthcare, education, economic growth and sustainable development, there is an urgent need to increase the number of young people choosing to study and work in STEM, and particularly digital technologies and engineering. Previous research has identified that the traditional instructivist and theoretical approach to teaching often used in Nigeria and other developing countries can be a major barrier to young people, who can often regard STEM subjects and careers as not for `people like them' and/or have very narrow perspectives of opportunities in the STEM sector. It also means that young people are not equipped to take their place as digital citizens in today's global society. The DIGISTEM programme was commissioned by the Ekiti State Government in Nigeria and sponsored by the World Bank to provide a novel approach to address these challenges. This paper presents its overall vision. Using an action research approach, a set of carefully designed interactions were conducted with young people and their schools and teachers. The initial results from this are presented and demonstrate that there is an urgent need to transform educational practice in this and other similar regions to provide a more authentic and active learning experience that prepares young people to be career-ready global digital citizens.

There exists a significant gap between the requirements specified within higher education qualifications and the requirements sought by employers. The former, commonly expressed in terms of learning outcomes, provide a measure of capability, of what skills have been learnt (an input measure); the latter, commonly expressed in terms of role descriptions, provide a measure of competency, of what a learner has become skillful in (an output measure). Accreditation traditionally provides a way of translating and embedding industry-relevant content into education programmes but current approaches make fully addressing this requirements gap, referred to here as the Capability-Competency Chasm, very difficult. This paper explores current efforts to address this global challenge, primarily through STEM examples that apply within the United Kingdom and European Union, before proposing a way of bridging this chasm through the use of a 21st Century (C21) skills taxonomy. The concept of C21 Skills Hours as a new input measurement for learning within qualifications is introduced, and an illustrative example is presented to show the C21 skills taxonomy in action. The paper concludes with a discussion of how such a taxonomy can also be used to support a microcredentialing framework that aligns to existing competency frameworks, enabling formal, non-formal and informal learning to all be recognized. A C21 Skills taxonomy can therefore be used to bridge the gap between capability (input) and competency (output), providing a common language both for learning and demonstrating a skill. This approach has profound implications for addressing current and future skills gaps as well as for supporting a transition to more personalised learning within schools, colleges and universities and more lifelong learning both during and outside of employment.

In recent decades, the overpopulation on our planet has had an impact on environmental change. Addressing and understanding such changes in a reliable manner requires contemporary data-science knowledge and methodologies since the amount of information available online has been increasing at an exponential rate. Additionally, to draw meaningful conclusions and predict certain events in terms of environmental changes, one must be familiar with existing natural processes. Thus, combining data science with knowledge about global conditions in the world and how they impact Earth's biosphere, would highly benefit the understanding of possible consequences in the environment. Since our planet is a complex, dynamic system that is likely to change, one must be knowledgeable about the global climate system as a whole. As well, one must understand its processes and interactions with the environment to be able to understand and work on preventing the potential inevitable drastic circumstances for living. This paper addresses the issue of environmental changes and presents a solution in the form of academic education, which is currently in progress, and also related to the COVID-19 issues. As shown in the results section, this type of education aims to teach students about the basics of data science and how to interpret and visualize information related to current environmental changes.

The automotive industry is a dynamic industry that\ud is constantly evolving and changing with the advancements of\ud technology. As cars become more technology dependent, the\ud threat landscape and likelihood of a cyber-attack becomes greater\ud and inherently larger as issues arise. With the introduction\ud to automation and increased use of embedded systems and\ud infotainment systems, modern cars have become a pillar piece\ud of the Internet of Things network.\ud This research details an in-depth study into the vulnerabilities\ud and risks surrounding the current and future state of the automotive industry, highlights the most safety-critical components of\ud the modern car, providing a holistic threat landscape to improve\ud security awareness and posture regarding automotive security.\ud It also demonstrates the utilisation of this analysis with the\ud integration of an education package built on top of a hardware\ud module based on a Raspberry Pi, that emulates its own CAN\ud Bus network that individuals can interact with as if it was a\ud vehicle to provide education on CAN hacking. This device has\ud the potential to be attached to education ranges and labs which\ud can help educate individuals on different security skills to help\ud improve security awareness and knowledge.

In recent decades, the overpopulation on our planet has had an impact on environmental change. Addressing and understanding such changes in a reliable manner requires contemporary data-science knowledge and methodologies since the amount of information available online has been increasing at an exponential rate. Additionally, to draw meaningful conclusions and predict certain events in terms of environmental changes, one must be familiar with existing natural processes. Thus, combining data science with knowledge about global conditions in the world and how they impact Earth’s biosphere, would highly benefit the understanding of possible consequences in the environment. Since our planet is a complex, dynamic system that is likely to change, one must be knowledgeable about the global climate system as a whole. As well, one must understand its processes and interactions with the environment to be able to understand and work on preventing the potential inevitable drastic circumstances for living. This paper addresses the issue of environmental changes and presents a solution in the form of academic education, which is currently in progress, and also related to the COVID-19 issues. As shown in the results section, this type of education aims to teach students about the basics of data science and how to interpret and visualize information related to current environmental changes.

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