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Timothy Edward Dreifke – ProQuest LLC, 2024
Globalization has offshored low skills manufacturing, leaving industry in the United States to adjust business models, install ever-advancing technology, and incorporate automation on their production floor. These advances in precision and computer-aided work require a labor force with technical and "soft" skills to operate complex…
Descriptors: Public Colleges, Two Year Colleges, Vocational Education, Labor Force Development
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Mohammad Ali Zolfigol; Saeid Azizian; Morteza Torabi; Meysam Yarie; Behrouz Notash – Journal of Chemical Education, 2024
In chemical synthesis, obtaining product(s) with high purity is a crucial issue from both academic and industrial viewpoints. Higher purity of the product(s) means higher quality and a lower chemical production costs. Sometimes, purification and separation processes are very laborious and lead to significant impacts on the final price of the…
Descriptors: Chemistry, Science Instruction, Costs, Industry
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Filipe Machado; Nelson Duarte; António Amaral; Madalena Araújo – International Journal of Learning and Change, 2024
Industry 4.0 (I4.0) is a research field that accounted for an explosion of scientific publications since 2011. It is impractical to analyse the content of these many documents in a reasonable time (20,000). In these terms, the present research proposes a bibliometric review of this research field to identify its intellectual roots, research front,…
Descriptors: Industry, Scientific Research, Authors, Periodicals
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Li, Junmin; Pilz, Matthias – Journal of Workplace Learning, 2023
Purpose: This paper aims to investigate the in-company training according to the technologically demanding and safety-critical feature of the aircraft industry. This study addresses to the tension between the structured and the more incidental part of in-company learning in their training and learning environment. Design/methodology/approach:…
Descriptors: On the Job Training, Workplace Learning, Air Transportation, Manufacturing Industry
Jun Kataoka – ProQuest LLC, 2024
This dissertation proposes novel Domain Adaptation (DA) methods in real-world industrial settings, where the availability of labeled data is limited and test data can significantly differ from training data. Particularly, our research addresses key challenges in DA, including the applicability of DA methods in industrial settings, strategies to…
Descriptors: Industry, Authentic Learning, Data, Training Methods
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Dario Wahl; Jürgen Münch – Education & Training, 2024
Purpose: Competency models are widespread in entrepreneurship and help develop educational offerings. Although existing models cater to specific sub-disciplines, the field of Industry 4.0 startups still needs a tailored competency. Therefore, this study aims to bridge this gap by developing a specific competency model to address the unique…
Descriptors: Competence, Models, Entrepreneurship, Information Technology
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Markus Maurer; Sheikh Shahana Shimu; Naron Veung – International Journal of Training and Development, 2025
This study analyses industry-specific training programmes catering to the garment industry in Bangladesh, Cambodia and Sri Lanka. Employing a historical-institutionalist perspective and using mainly qualitative data, it focuses on programmes that are considered particularly relevant by the industry and discuss their characteristics as well as…
Descriptors: Foreign Countries, Training, Clothing, Industry
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David Hamilton; Alyssa Castillo; Molly B. Atkinson – Journal of Chemical Education, 2024
Instrumentation plays a vital role in almost every area of chemistry. As such, it is imperative that the undergraduate curriculum is designed to allow students to have opportunities to use a variety of instruments to best prepare them for careers in chemistry. Previous work has provided evidence of the types of instruments students use in…
Descriptors: Chemistry, Undergraduate Study, Science Instruction, Science Laboratories
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William E. Donald; Helen P. N. Hughes – Industry and Higher Education, 2024
Universities worldwide are tasked with producing employable graduates capable of operating in evolving, complex, and global labour markets. Research into the effectiveness of year-in-industry placements to facilitate such objectives often portrays the dominant actors as students, employers, managers, and (de)centralised placement teams. Framing…
Descriptors: College Curriculum, Curriculum Design, Employment Potential, Student Placement
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Gus Greivel; Alexandra Newman; Maxwell Brown; Kelly Eurek – INFORMS Transactions on Education, 2024
Industrial-scale models require considerable setup time; hence, once built, they are used in myriad ways to consider closely related cases. In practice, the code for these models frequently evolves without appropriate notational choices, largely as a result of the lengthy development time of, and the number of individuals contributing to, their…
Descriptors: Models, Best Practices, Mathematical Concepts, Energy
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Peyman Abkhezr; Mark Tang – British Journal of Guidance & Counselling, 2024
Migrants, along with youth, stand at the forefront of gig economy in many countries. Gig work intersects with other domains of migrants' post-migration life, including career development. To substantiate "plural systems of knowledges" [Sultana, R. G. (2021). For a postcolonial turn in career guidance: The dialectic between universalisms…
Descriptors: Immigrants, Males, Career Development, Transportation
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James Bezjian; Benjamin P. Dean; Sergey Y. Ponomarov; Sarah Imam; Robert Riggle; Michael Weeks; Sally Selden – Industry and Higher Education, 2025
Institutional upheaval spurred by the COVID-19 crisis suddenly and dramatically transformed the rules of the game for higher education organizations. The global pandemic thrust colleges and universities into ambiguous institutional environments. Disruption of established routines and supply networks resulted in the near collapse of global supply…
Descriptors: COVID-19, Pandemics, Higher Education, Industry
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Ben Williamson; Carolina Valladares Celis; Arathi Sriprakash; Jessica Pykett; Keri Facer – Learning, Media and Technology, 2025
Futures of education are increasingly defined through predictive technologies and methods. We conceptualize 'algorithmic futuring' as the use of data-driven digital methods and predictive infrastructures to anticipate educational futures and animate actions in the present towards their materialization. Specifically, we focus on algorithmic…
Descriptors: Algorithms, Prediction, Investment, Educational Technology
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Valiente Bermejo, M. A.; Eynian, M.; Malmsköld, L.; Scotti, A. – Industry and Higher Education, 2022
The advantages and importance of university-industry collaboration, particularly in curriculum design and delivery, are well-known. However, although curriculum development models are available in the literature, very few are sufficiently concrete to be applicable in practice or are generalizable beyond their discipline of origin. In this paper, a…
Descriptors: Universities, Industry, School Business Relationship, Curriculum Design
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Anthony O. Yusuf; Abiola A. Akanmu; Homero Murzi; Andres Nieto-Leal; Andrea N. Ofori-Boadu; Sheryl Ball – Journal of Civil Engineering Education, 2025
A paradigm shift toward workforce development is essential to ensure that the future workforce meets the expectations of the architecture, engineering, and construction (AEC) industry. Both industry and academic communities play different, but essential and complementary roles, which suggests a need for stronger industry-academia collaborations.…
Descriptors: Labor Force Development, Futures (of Society), Demand Occupations, Industry
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