Search Results for
"education"

Online instructional videos have been presented as an efficient instructional method in workplace learning and vocational education and training (VET). Increasingly, public video-sharing sites like YouTube are used by firms, educators and learners to teach and learn about work practices, new work roles and skills. However, more knowledge is needed about what instructional videos exist and how they facilitate vocational learning. This article draws from online video research to explore vocational learning on YouTube for interactive service work. Focusing on connected service encounters in which transactions and customer service are intertwined through interaction with digital technologies, cashier work was used as the empirical case. With concepts from narrative and multimodal analysis, the theory of practice architectures was the framework for analysing 160 YouTube videos for cashier work. The article proposes a taxonomy of online instructional video types for VET and workplace learning comprising nine video types divided into two main categories: professional instructional videos and peer instructional videos (vlogs). It is found that transactions and customer service are instructed separately. Consequently, YouTube videos do not yet prepare learners for connected service encounters. Overall, the taxonomy can contribute to a more purposeful use of video in VET and workplace learning. © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

More than half of the youth in upper-secondary education in Norway choose programmes in vocational education and training. There is a larger risk of marginalisation in VET than in other educational programmes. One challenge facing VET is the mismatch between students’ vocational education and the companies` need for apprenticeships. It is found that a great number of students lack apprenticeship after the second year in school, another matter of concern is the related risk of marginalisation connected to students’ social backgrounds. We explore how a local vocational education and training (VET) system in Norway addresses the risk of marginalisation. With a focus on marginalisation and Luhmann’s system theory lens, we understand that a local VET is divided into several more or less autopoietic subsystems which communicate different meanings regarding the risk of marginalisation. We investigate how marginalisation is addressed within different subsystems in VET, by using a case study that includes interviews with important stakeholders at an upper-secondary school, a training agency, and companies. The results from the case study reveal that different rationalities may lead to difficulties in constructing integration between education and the labour market. However, through communication, ideas can be translated and overbridge system differentiation and mutual communication regarding how marginalisation can be decreased. © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

In the wake of the fourth industrial revolution, artificial intelligence is gaining momentum and is widely applied in various aspects of life, particularly education. This study investigates the factors influencing students' use of artificial intelligence (AI) in learning, focusing on students at Ho Chi Minh City University of Industry. The research uses a combination of the technology acceptance model and the theory of planned behavior to examine the relationships between subjective norms, image, job relevance, output quality, result demonstrability, self-efficacy, anxiety, perceived playfulness, perceived enjoyment, perceived ease of use, perceived usefulness, and behavioral intention. Combining these technological models brings new insights into the context of AI that can support or hinder user behavior through bias. The results were then analyzed based on the least squares linear structural model, with 390 students participating in the survey using the stratified sampling approach. The study found that perceived ease of use and usefulness are the most significant factors influencing students' intention to use AI in learning. Subjective norms also play an essential role in shaping students' image and intention to use AI. The research also highlights the importance of self-efficacy, perceived enjoyment, playfulness, output quality, result demonstrability, and job relevance in influencing students' perceptions and use of AI. The findings of this study underscore the need for educational institutions to create a supportive environment that encourages students to use AI in learning. In contrast, AI technology creators need to focus on simplifying the user experience to make AI tools more accessible and easy to use. These practical recommendations of the research can guide policy and design decisions in the field of educational technology. Finally, in place of a conclusion, the study also aims to open up further approaches for AI platforms in academia. © 2025 Malque Publishing. All rights reserved.

The higher participation of England’s ethnic minority students on vocational courses at the age of 16 initiates them onto the ‘lower tier’ pathway in tertiary education. Lower tier implies participating in certain vocational courses and entering lower status universities. Consequently, ethnic minority students in England have a weaker labour market position upon graduation. Using semi-structured interviews, this article explores the decision-making process of 12 British Pakistani students, as they are initiated on this lower tier pathway. The findings suggest that decision-making is a negotiation of student biography with ethnic capital and ‘racial warehousing’. This interplay funnels many ethnic minority students towards the lower tier pathway, where selecting certain vocational courses is deemed as the only pathway feasible for progression. This study sheds light on the need to promote alternative vocational pathways to England’s ethnic minority students. © 2023 The Vocational Aspect of education Ltd.

The persistent skills mismatch between higher education outcomes and labour market needs presents a significant challenge for graduate employability, particularly in fast-evolving sectors such as artificial intelligence (AI) and data science. This paper introduces a data-driven internship framework designed to bridge this gap by optimising student placements, providing real-time feedback, and ensuring academic curricula remain aligned with labour market demands. The framework integrates three systems: the Student Industry Placement System (SIPS), which uses machine learning to match students with relevant internships; the Intern Learning Management System (ILMS), which tracks skill development through continuous feedback loops; and the Industry Profiling System (IPS), which leverages predictive analytics to provide real-time labour market insights. The framework was evaluated through a mixed-methods approach, incorporating pilot program data from five universities and 15 industry partners and simulated data based on historical internship trends. The SIPS algorithm achieved a placement accuracy of 89%, significantly improving over traditional methods (60-65%). 78% of students received continuous feedback through the ILMS, resulting in measurable improvements in technical skills (30% increase in coding proficiency) and problem-solving abilities (25% improvement). The IPS enabled universities to update 15% of their curricula in response to real-time labour market data, particularly in high-growth sectors such as AI and digital transformation. 68% of the students secured full-time employment within six months of graduation, with 65% in roles directly aligned with their internships. These findings demonstrate the framework's scalability and potential for reducing skills mismatch, making it a viable model for other emerging economies. © 2025 IEEE.

There is considerable international interest in transitions from school to work. This article approaches the issue as part of the debate around ‘vocational maturity’ (Ausbildungsreife) in Germany and ‘employability’ in the United Kingdom. Vocational education and training systems in these two countries differ significantly, so the article takes a historical approach to analysing and comparing the discourse used, focusing primarily on which training policy actors make which arguments about Ausbildungsreife or employability under which social, economic and training conditions. Specifically, it uses trade union, employer association and government documents from the period 1977 to 2018, evaluating them using the heuristic tools of interpretative models to create an understanding of Ausbildungsreife and employability, phenomenological structure and narrative structure. The findings demonstrate differences over time in the way individual actors structure their arguments and major divergences between the discourse in the two countries. © 2023 The Vocational Aspect of education Ltd.

This article examines how vocational school principals in Israel view their relationships with their students' parents. Interviews with 26 vocational school principals reveal three predominant themes: lamenting the parents' lack of involvement, describing the parents through the deficit discourse, and adopting a managerial strategy of operating a ‘school without parents.’ This approach to parents carries implications, such as implementing many improvisations in light of the lack of a recognized cultural script of a ‘school without parents’, making educational and therapeutic decisions in place of the parents, taking the role of surrogate parent, and preferring caring practices over the cultivation of the students' academic capital. The Discussion explores these findings through the concept of symbolic violence. Moreover, the Discussion examines the impacts of the principals' descriptions and the symbolic violence accompanying them on establishing and maintaining social inequality and educational stratification. © 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Integration (joined up learning of different subjects) is an important part of modern undergraduate medical education. We argue that integration in a UK medical school is experienced principally as multiple subject learning via enquiry-based learning and requires facilitators. By analysis of student interactions and the views expressed by students and staff, we demonstrate three facets of integration: student experience, with the principal means of integration being discussions of multiple subjects simultaneously, encountering related subject matter in different sessions, and making explicit links to other parts of the course; presence of facilitators of integration such as staff liaison, awareness amongst staff of other parts of the course, integrated teaching, tutor support, group bonding, early clinical experience, and integrated assessments; existence of barriers to integration such as compartmentalisation of subjects, poor student bonding, poor attitude to certain subject matter, and boundaries between course elements. © The Author(s) 2025.

This study examines the link between lecturer competencies and student satisfaction in the hospitality and tourism higher education sector, with a focus on how institutional reputation mediates this relationship. Using a quantitative approach and a correlational study design, the research employed non-contrived, cross-sectional methods with purposive sampling. Primary data was collected through an online survey targeting active students in hospitality and tourism-related programs in Malaysia. A total of 405 valid responses were analyzed using SmartPLS software. The results revealed that knowledge and credentials, industrial experience, and motivation influence student satisfaction, whereas pedagogical skills, while significant to institutional reputation, do not directly influence student satisfaction. Notably, the industrial experience did not directly affect institutional reputation but did impact student satisfaction through its mediating effect. These findings offer valuable insights for academic institutions, industry practitioners, and policymakers to improve the educational experience. © 2025 ICHRIE.

Germany’s VET system is highly gender-segregated and marked by high dropout rates. This article investigates the dropout behaviour of apprentices in gender-atypical training occupations. First, we investigate whether gender-atypical apprentices drop out at a higher rate than their majority peers. Second, we examine differences in the self-reported reasons for dropping out among gender-typical and gender-atypical apprentices. Results show that gender-atypical apprentices, and particularly males in female-dominated occupations, are more likely to prematurely leave their apprenticeship. The self-reported reasons for dropping out differed by gender minority status: female minorities were more likely to drop out due to a lack of social integration, while male minorities were more likely to drop out due to unfulfilled aspirations in comparison to the gender majority. These results show that gender-specific perceptions and experiences are related to the higher dropout rates of gender-atypical apprentices. © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.