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Australia’s system of vocational education qualifications, based on competency-based training, has delivered significant benefits to millions of Australians over recent decades. However, the dynamic nature of the economy and the nature of work requires a more agile system, shifting from binary compliance with sometimes rigid Standards for Registered Training Organisations and the qualifications they deliver to a space where training providers can innovate to respond to industry needs and learner requirements. A key recommendation of the Australian Universities Accord Final Report and NSW VET Review is delegating accreditation to select TAFEs and enabling some TAFEs to self-accredit certain higher education courses. These measures aim to streamline accreditation and improve integration between Vocational Education and Training and Higher Education. TAFE NSW is trialling Self-Accrediting Authority in VET operations, mirroring existing Higher Education governance processes. This article outlines TAFE NSW’s education model for Higher Apprenticeships and efforts to respond innovatively to industry. © 2025 Association for Tertiary Education Management.

This study conducts a bibliometric analysis of recent trends and emerging topics in the application of Artificial Intelligence (AI) in vocational education. AI technology holds significant potential to enhance accessibility, inclusivity, and equity in quality education. The research utilizes the Preferred Reporting Items for Systematic Reviews and Meta-Analyses approach to analyze publications from articles and conference papers published in the Scopus database between 2014 and 2023. The key findings indicate that AI is reshaping vocational education by personalizing learning experiences, improving curriculum development, and enhancing practical training through automation and robotics, particularly in the manufacturing and logistics sectors. Ethical issues, such as privacy and algorithmic bias, are also highlighted as key concerns. The bibliometric analysis reveals that journal articles have a higher citation count than conference papers, reflecting their greater influence in the field. Network visualization demonstrates the interconnection between AI, vocational education, and related concepts, such as e-learning and machine learning. Furthermore, AI contributes to the achievement of the United Nations Sustainable Development Goals (SDGs) 2030, particularly SDG 4 (quality education access), SDG 8 (decent work and economic growth), and SDG 9 (industry, innovation, and infrastructure). The study also identifies challenges that need to be addressed, including data privacy, infrastructure readiness, and teacher training, while providing guidance for future research and educational policy development. © 2025 The Authors

Literature reviews related to learning media are important in determining the reference of innovation and sustainable research. This study describes the types of learning media innovations that already exist, the problems faced, and the development model applied in developing engineering drawing learning media innovations in Vocational High Schools (VHS) as engineering education at the high school level. A systematic literature review of scientific articles published between 2020 and 2024. The results of this study reveal that most learning media innovations focus on developing learning materials and techniques, while fewer innovations develop the learning environment. The problems behind the existing innovations are mainly caused by difficulty in understanding engineering drawing materials, especially orthographic projections, less innovative teachers, and learning resources that are still conventional and non-standard. Research and development of engineering drawings is generally carried out using the 4D, ADDIE, Borg & Gall models. Evidence from these studies suggests that future engineering drawing teaching and learning should be conducted with a real-world approach by presenting the shape of the components or mechanical parts. One of the most plausible research agendas is to develop learning media using 3D print technology for component modeling or tangible forms to support the learning process. It goes beyond vocational education. However, it can also apply to engineering education for pre-service teachers, technical training, and university engineering education. Engineering drawing is a mandatory subject, a fundamental knowledge and skill that students must learn. © 2025 TEMPUS Publications.

The article substantiates the important role of developing skills in constructing mathematical models of systems and processes, as well as the use of innovative computational methods that are effective in modern scientific research. Using simple examples, the authors introduce readers to the methodology of teaching the topics “New Information Operators” and “Innovative Methods of Numerical Integration”, in particular in the courses “Mathematical, Physical and Information Foundations of Industry Knowledge” and “Innovative Methods of Digitalisation of the Professional Field”. The above-mentioned educational components are studied at the Ukrainian Engineering and Pedagogical Academy in the speciality ‘‘Vocational Education (By specialisation)”. The value of these innovations lies in the fact that students get acquainted with new information operators in practice. New information operators are built depending on the type of experimental data. Currently, modern engineers use digital images, tomograms, integrals along given lines, values of functions on lines or planes, etc. as data on the technical process. Modern advances in mathematical modelling allow us to build new algorithms taking into account different types of experimental data. The article presents an algorithm for recovering a function of two variables on four or three lines, as well as on a system of mutually perpendicular lines in the computer algebra system MathCad. In addition, a cubature formula for the approximate calculation of the double integral is presented, which is effective in terms of using the input information to achieve a given accuracy. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

New requirements of the increasingly digitalized world of work have an impact on modern engineering training. In view of these considerations, the aim of the present work is to integrate artificial intelligence (AI) for error detection into existing practical exercises for product development, taking sustainability aspects into account. The basis of the concept is the use of the smart factory to convey technical content in its real function, control, maintenance and repair, as well as 3D printing with the introduction of AI to detect defects in the manufacturing process (using cameras). This article examines the following research question: What methodologies to foster students’ digital competences are needed to enable it to form the basis of interdisciplinary team project activities of engineering students. At the centre of this investigation is the synergy between traditional teaching approaches and modern technologies to create an interactive and practice-oriented learning environment. The application scenario is the use of AI to design work process descriptions with the recognition of their limits: the optical quality inspection. The aim is to develop and test the teaching/learning modules with a focus on Industry 4.0 and AI-supported generative manufacturing with sustainability-oriented quality assurance. COMET-based competence measurement is offered as an additional instrument for recording the competence of teachers. The expectation of the concept advertised here is to test the implementation of the measure in the modules for the teaching degree program in industrial-technical subjects (GTF) and to gather experience for implementation on a larger scale. The preliminary studies to date promise a successful approach to the research question of designing digital skills development. Further work, in particular trialing interdisciplinary group work and the integration of real-time learning settings, is required to improve the results to date. The integration of further AI-based learning tools can also be realized in future work. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

The articulation between Secondary Vocational School(SVS) and college, in China, is a relatively new reform, hoping to unlock the dead end of Vocational Education and Training(VET). Based on fieldwork conducted in two universities in Jiangsu Province in 2018–2019, this article reports on college experience for articulated students with a VET background. The findings demonstrate that both positive and negative consequences of social skills exist at college for those students. Prior vocational school experience was shown to have an academic shock on students who were also have a complex mentality as they easily became aware of their distinctive identity as opposed to that of their peers. Further, although better-performing students demonstrated academic resilience, they nevertheless felt uncertain about transitional status and eager to redeem themselves through academic ambition, whereas more poorly-performing students had an anxiety about academia that made them prey to a pattern of struggling and giving up. Finally, the policy implications of the findings are also discussed. © 2023 National Institute of Education, Singapore.