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Remote laboratories are essential in addressing access and quality challenges in technical education. They enable students from various locations to engage with real equipment, overcome geographic and economic constraints, and provide solutions during crises, such as pandemics, when in-person learning is limited. As a key element of Education 4.0, remote labs promote technical skill development, enhance engineering education, and support diverse learning approaches. This study presents a remote laboratory based on Field Programmable Gate Arrays (FPGAs), developed using a waterfall methodology integrating IoT and Cloud Computing technologies to facilitate close interaction between hardware and software. The lab focuses on controlling DC, servo, and stepper motors, allowing students to apply theoretical concepts such as digital signals, pulse-width modulation (PWM), and data representation in bits in a practical setting. The testing phase involved 50 robotics and mechatronics engineering students who participated in hands-on sessions for one month, followed by a structured survey evaluating their experience, interaction, and the educational relevance of the platform. The survey shows high student satisfaction, highlighting the platform's strengths and identifying areas for improvement. The results also underscore the system's potential to significantly enhance the educational experience in remote environments, aligning with the United Nations Sustainable Development Goals (SDGs). [ABSTRACT FROM AUTHOR]

As a young class of socio‐technical systems, Augmented Reality (AR), which enriches the real world with virtual information, is becoming increasingly important. It offers a variety of possibilities in the areas of education and training. Here, interactive and immersive learning experiences increase motivation and learning success. AR also enables the specific support of workers in the production environment. When dealing with complex tasks, AR applications help workers to increase efficiency and quality. Based on the developments of the BMBF collaborative project KORESIL, this paper contains an overview of the current application scenarios of AR in teaching and industry. The outlook provides an analysis of this technology's potential and identifies current challenges in hard‐ and software. [ABSTRACT FROM AUTHOR]

The emergence of new technologies has developed a new industrial need for engineering graduate students. This modern industry needs a modern educational framework to support further development. This research revolves around developing the learning methodological approach for university courses that aligns with Education 4.0 and can fulfill the essential knowledge requirements for future engineers in Industry 4.0. We used a constructive approach as a baseline methodology already proven in the field of engineering education. On the other hand, we modified this approach by implementing Industry 4.0 standards, such as Agile methodology, DevOps tools, and Artificial intelligence chatbots. In this way, we managed to establish one more step in the digital transformation of education as one of the paramount cornerstones of Industry 4.0. As a result, during the course, Agile methodology and DevOps tools created a learning environment very similar to the real software development environment in companies. The efficiency of the delivery of the learning material also increased by implementation and integration of AI chatbots. This was tracked by the number of projects developed during course implementation. The study showed that in the field of education, the implementation of novel approaches developed in the industry to increase efficiency can be implemented in the educational environment. It also showed that the implementation of those methodologies does not hinder but improves the efficiency of the educational cycle. [ABSTRACT FROM AUTHOR]

The rising unemployment rates among fresh graduates have been attributed mainly to skill deficiency in the job market especially in this era of Industry 4.0. Thus, it is important to investigate the level of readiness of lecturers to teach Industry 4.0 technologies in the different types of universities and disciplines. Descriptive survey research was undertaken using 84 lecturers from private and public Malaysian urban universities. A questionnaire based on the 21 dimensions from the Ministry of International Trade and Industry (MITI) Malaysia (2018) Industry4WRD Readiness Criteria Model was constructed to measure lecturers' readiness to teach Industry 4.0. The validity and reliability of the questionnaire were high. Results revealed that the lecturers had low level of readiness to teach Industry 4.0 skills, there were no significant differences in readiness to teach Industry 4.0 between private and public university lecturers on all dimensions, and there were also no significant differences in readiness to teach Industry 4.0 between Engineering and Computer Science lecturers. Results from this study could be used to identify and rectify lecturers' lack of readiness to teach on specific industry 4.0 dimensions. Future research should focus on replicating this study with a larger sample size and identify approaches to improve lecturers' readiness to teach I ndustry 4.0. [ABSTRACT FROM AUTHOR]

The purpose of the study is to examine how Industry 4.0, and the digital environment, have together created a new situation for companies and universities in terms of soft skills for employability. While companies aim to introduce a new structure, universities try to align with these changes by developing new educational methods, curricula, and models. Many researches are focusing on - rightfully so - Industry 4.0 skills and competences to gain throughout higher education. However, we have shifted our research interest and asked students to what degree their university years added to their knowledge, self-management and skills. 147 engineering and technical manager students' responses from two faculties at Óbuda University, Hungary were analyzed to see their evaluations of the role of the university in the framework of Education 4.0, and their chances in the job market. Quantitative and CHAID analyses were used. Students' responses show significant differences between the two faculties regarding languages, teamwork, self-management and in the different order of the skills seen as most paramount to employability. Engineering students attach greater importance to field-relevant knowledge, while technical manager students find decision-making more useful. The research proved that Education 4.0 is here and Z generation studying at universities prefers problem-based learning, including creativity, analytical, and critical thinking while would like to have good communication skills. Universities need to adapt to these changes and integrate hard as well as soft skills development in tutoring. The importance of technical-IT knowledge is just as important as having interpersonal skills, excellence in problem-solving, so students need to be taught how to analyze problems, engage in scientific debate, or express themselves clearly as previous literature indicated. [ABSTRACT FROM AUTHOR]

Industry 4.0 is one of the most challenging topics for engineering design as well as higher education. One of the fascinating topics of academic and industrial circles has been the creation of capabilities, requirements, and competencies in students to adapt to industry 4.0. This study aims to identify the capabilities, requirements, and competencies of higher education and graduate students based on a qualitative approach and the meta-synthesis study. Findings indicate that competencies and requirements in the dimensions of: 1. Competencies of engineering students (individual abilities, specialized knowledge, and skills, social abilities, technological skills), 2. University requirements (educational requirements 4.0, educational contexts, curriculum requirements, faculty improvement), 3. Nonuniversity requirements (industry strategic skills 4.0, labor market requirements), 4. Human resource development were identified. The current study›s findings would be useful for planning the development of new approaches in engineering education curricula. [ABSTRACT FROM AUTHOR]

Novel digital technologies have transformed societies, organizations, and individuals in diverse aspects of daily life, elevating their competency requirements in order to successfully develop, integrate, and generate value. To remain relevant Higher education should provide students with digitally enhanced learning experiences to build their necessary competencies. To progress in this direction, this work proposes a method that can be used to develop digitally enabled experiential learning spaces (DeELS) in engineering education so as to incorporate digital technologies into engineering problem-solving and decision-making activities, as an innovative approach to Education 4.0. Two implementation cases exemplify the digital transformation of these learning spaces in the Lean Thinking Learning Space (LTLS) for undergraduate engineering courses. The exemplification shows how students, through designing, creating and integrating digital/smart kanban systems, execute their learning activities in a DeELS. The results suggest that the students were able to satisfactorily achieve their learning outcomes through the learning experiences. Moreover, new instances of learning experiences for digital transformation were identified within the LTLS. However, future work is required regarding new instances of digital transformation learning experiences in order to make any further inferences or generalizations regarding DeELS and their contribution to competency development. [ABSTRACT FROM AUTHOR]

Knowledge transfer associated with education in the automotive manufacturing and production fields is challenging due to the requirements of physical prototyping of mechanical components and laboratory-assisted testing. In this regard, aspects of Industry 4.0 such as virtual environments and enhanced human–computer interaction have been studied as important resources to improve teaching practices and achieve the equivalent Education 4.0 paradigm. Within the context of modern manufacturing techniques in the Industry 4.0 era and advanced tools for analysis and mechanical design, the present work describes the development of a virtual/augmented reality (VR/AR) laboratory to support learning, training, and collaborative ventures related to additive manufacturing for the automotive industry. The development was performed in accordance with the guidelines of the ISO/IEC TR 23842-1 standard, to ensure that the academic programs and the conditions of use of the laboratory were optimal. Experiences with students through the development of industry-related automotive projects support confidence in the suitability of the laboratory and the expectation of positive outcomes for future developments. [ABSTRACT FROM AUTHOR]

Novel digital technologies have transformed societies, organizations, and individuals in diverse aspects of daily life, elevating their competency requirements in order to successfully develop, integrate, and generate value. To remain relevant Higher education should provide students with digitally enhanced learning experiences to build their necessary competencies. To progress in this direction, this work proposes a method that can be used to develop digitally enabled experiential learning spaces (DeELS) in engineering education so as to incorporate digital technologies into engineering problem-solving and decision-making activities, as an innovative approach to Education 4.0. Two implementation cases exemplify the digital transformation of these learning spaces in the Lean Thinking Learning Space (LTLS) for undergraduate engineering courses. The exemplification shows how students, through designing, creating and integrating digital/smart kanban systems, execute their learning activities in a DeELS. The results suggest that the students were able to satisfactorily achieve their learning outcomes through the learning experiences. Moreover, new instances of learning experiences for digital transformation were identified within the LTLS. However, future work is required regarding new instances of digital transformation learning experiences in order to make any further inferences or generalizations regarding DeELS and their contribution to competency development.

• The concept and vision of Education 4.0 in higher education are presented. • Four core components are integrated to shape the proposed concept of Education 4.0: (i) Competencies, (ii) Learning Methods, (iii) Information and Communication Technologies, and (iv) Infrastructure. • The components of Education 4.0 can apply to different educational levels and non-formal and informal educational environments. • Three different case studies were presented to illustrate how current programs adopt the concept and vision of Education 4.0. Technological progress and its rapid evolution have positively affected the industrial sector and different productive/service sectors. One of the service-sectors that have benefited the most has been Education. In this sector, the implementation of current and emerging technologies combined with innovative pedagogical procedures and best practices is known as Education 4.0, which, in this paper, is described and mapped according to the well-known periods of the four industrial revolutions and related to higher education. Likewise, four core components of Education 4.0 to be used as a reference for the design of new projects in educational innovation are proposed (i) Competencies, (ii) Learning Methods, (iii) Information and Communication Technologies, and (iv) Infrastructure. Finally, three case studies applied to Engineering Education illustrate how the proposed components are considered in educational programs' designs. [Display omitted] [ABSTRACT FROM AUTHOR]