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The main purpose of the study to identify the importance of computer devices in vocational studies for person with disabilities (PwDs) are as follows: This study aims to observe the role of computer training in vocational training of a PwD. This study plays an important role in the vocational training of a PwD. With the help of ICT curriculum, effective vocational training is possible to help the trainee, the parents, the professional, the employer and the community easily. It builds awareness about career and employment options for individuals with disabilities.

The present investigation is descriptive research. The study has divided in to two phases such as—in the first phase of the study, the researcher has developed the tool for demographic data of PwDs. The tool is described as depth in following: There are two tools, the first tool had 16 different items related to demographic information of PwDs and the second one had 18 different items are related to computer skills and ability. The second questionnaire was a close-ended questionnaire. It was developed based upon the VAPS, BASAL-MR questionnaire developed by NIMH have questions on disability condition, management, policies, training and services available for PwDs. There are some basic areas in the tool are related to personal, academic, communication, vocational and recreational skills. The researcher had sent the questionnaire to the seven expert members related to disability for modifications. The researcher had modified and improved the tool as per expert advice. The role of the researcher in this research was to pose the research question and create conducive atmosphere to discourse, in order to encourage the participants to give the answer correctly. The researcher had prepared findings and a conclusion on the basis of the score obtained by PwDs. For the second phase of research, the researcher conducted interview with PwDs to assist the information related to computer skill training and importance in vocational potential for PwDs Participants: The sample selected for the study was 50 PwDs participants including 36 female and 14 male participants with benchmark disability (above 17 years of age) enrolled in the vocational unit in Uttar Pradesh. Purposive sampling was used for sample selection. Procedure: At the beginning, the investigator met with the concerned authority of the respective institutions for identifying the PwDs. And researcher had also contacted to parents and PwD for the present study. The data were also gathered by interviewing PwDs with help of their parents and PwDs. The investigator interviewed them by the help of self-made tools. On the whole, 50 individuals with disability were interview for present study.

The PwD mostly depends upon their family due to lack of job or livelihood skills. Anyone can obtain a job/business with help of vocational training or job training. In order to live an independent life, with social surroundings, basic vocational skills is desirable. PwDs is able to hold gainful employment or manage their daily financial activities with computer skills easily. ICT skills are very easy and useful to reading and writing, understand decision-making, logical thinking, problem-solving and so on.

The future research may guide parents and service providers, belonging from different geographical areas how to train the PwD. The study will indicate researches to guide parents to select appropriate job options for a PwD. Resources related to computer training for PwDs are very limited. In future, the research may conducted in specific disability for better output.

This study plays an important role in the vocational training of a PwD. Computer-based training model is easily implementable, cost-effective and accessible all over India. With help of new technology, the vocational training becomes systematic and structured for PwDs. Individual and group guidance is available for large and small groups all over India for PwDs. Computer-based instructions are clear and easy instructions for PwDs, and it avoids the unnecessary confusion of parents regarding the vocational training programmes of their PwDs. Computer-based vocational training is helpful for better employment options for PwD.

The attitudinal barrier will be reduced with computer training. The study will help in the training of the PwDs in different job roles. Computer training in the vocational curriculum will make the training part easy for trainers and PwDs as per his requirements. There are many organizational barriers to technology adoption are particularly problematic given the growing demands and perceived benefits among students about using technology to learn.

This paper adds new and significant information since it focuses on a specific group of persons who are disabled and the significance of using technology in learning. In conclusion, the findings in this study have valuable implications for PwDs, special educators and parents. This study creates effective in increasing positive atmosphere for PwDs in society and increases inclusion at vocational training centres. Therefore, it is important for technology base vocational training and education.

This paper aims to explore how the competence-based vocational education and training (VET) curricula facilitate shaping of work values of VET students. It discusses methodological and ideological orientations of competence-based VET in teaching work values and discloses the typical characteristics of teaching work values in the VET system of Lithuania.

A quantitative research approach leading to a survey method is adopted to investigate how VET students acquire and apply work-related values and attitudes to work.

The survey of the VET students has disclosed that students are open to accepting different values of work, including cognitive values, social prestige and altruist values. However, orientation of the VET curricula to and provision of instrumental values lead to relatively weak internalization of the work values related to societal and spiritual dimensions.

The paper provides empirical evidence regarding the implications of the competence-based curricula for teaching students work values in the school-based VET.

The digitalization of schools has intensified in recent years. It is reflected in policy documents as well as in extensive investments in digital technology and professional development initiatives to promote digitalization. At the same time, attempts are being made to “tame” the same digitization sometimes by regulations banning smartphones in class. This study aims to examine how smartphones are interpreted by vocational teachers in Sweden using the theoretical lens of technological frames.

The data consist of ten semi-structured interviews with vocational teachers, representing eight vocational programs in Sweden.

The results show breadth in how teachers understand, interpret and relate to the smartphone in vocational education. The authors show how the smartphone often forms an integral part of professional work and is thus difficult to separate from vocational teaching and nurturing vocational competencies.

The authors’ contributions include using technological frames to explore how smartphones are interpreted and understood by vocational teachers by demonstrating how they relate to the nature of the smartphone, the strategy for the smartphone and the smartphone in use. The theoretical framework is used to interpret restrictions on technology use, in this case a smartphone, in education. The results could be of interest to researchers as well as to teachers, school leaders and policymakers.

In the realm of construction education, the investigation of immersive learning and extended reality (XR) technologies has experienced a surge in recent times. Nevertheless, there remains a notable lack of comprehension surrounding the most efficient ways to integrate these technologies into tailored teaching approaches for vocational construction training. This research study aims to pinpoint the key factors that construction vocational education and training (VET) providers must consider when introducing XR technologies into their training schemes.

This study conducted an in-depth literature review to develop an initial framework to summarise training, technology and institutional factors influencing the educational-technology integration of XR technologies in VET. In addition, this study utilised a Delphi technique, including semi-structured group discussions and two rounds of online follow-up questionnaires, to capture VET experts’ judgements on the importance of decision-making criteria.

This study has identified the critical factors to be considered in the VET sector when adopting XR technologies. Findings revealed institutional factors were the most important criteria for participants, followed by training and technology factors.

The current decision-making process focuses on selecting XR technologies rather than evaluating their performance after implementation. Therefore, more research is needed to monitor the implementation of this technology in curricula from a senior management perspective. This will help to understand the cost and value factors related to the value proposition of XR technologies in courses.

To ensure the success and long-term viability of the technology-curriculum interface, it is important to consider factors such as the availability of technical and educational support, data security and cost-effectiveness. It is also crucial to focus on ease of use and content development that emphasises instruction to create engaging content for learners.

The potential impact of this study is underpinned by two facts: (1) it constitutes the first effort made in the field to comprehensively elicit VET expert judgements in relation to XR technologies, and (2) it offers decision-making criteria that are at play in seeking to take advantage of high-cost technologies that are rapidly evolving. While there is no simple checklist for XR implementation, this study takes a step further to identify significant factors influencing XR integration in vocational construction training.

The purpose of this study is to determine the competency characteristics required for the employment of master’s degree students in educational technology.

A combined qualitative and quantitative method was used to consult multiple experts through a modified Delphi method. Competency characteristics were extracted from Chinese recruitment apps, national recruitment websites and university training programs. Ten senior teacher experts who teach educational technology master’s students were consulted through a questionnaire consultation to validate the proposed competency model. The weights of competency characteristics were determined through a combination of the analytic hierarchy process and entropy method.

The results show that when recruiting educational technology master’s students, more emphasis is placed on operational skills. The majority of companies tend to assess practical abilities rather than theoretical knowledge. Relevant knowledge of educational technology, psychology, computer science and education is considered to be the basic knowledge components of educational technology master’s students, while professional skills are the core skills required for their positions. Therefore, universities need to focus on training, educational technology graduate students in these areas of competence. The study also found that professional qualities (such as physical and mental fitness) and personality traits (interpersonal communication and interaction) receive more attention from companies and are essential competencies for educational technology master’s students.

A competence model for educational technology master’s students is proposed, which includes aspects such as knowledge, personal skills/abilities, professional qualities and personality traits. The competence elements included in this model can serve as reference indicators for universities to cultivate the competence of educational technology master’s students, as well as reference points for recruiting units to help them select talents. This represents a new dimension in research related to the employment of educational technology master’s students. The study enriches the research objects and competence dictionary in the field of competence research.

Rotating machinery is a crucial component of large equipment, and detecting faults in it accurately is critical for reliable operation. Although fault diagnosis methods based on deep learning have been significantly developed, the existing methods model spatial and temporal features separately and then weigh them, resulting in the decoupling of spatiotemporal features.

The authors propose a spatiotemporal long short-term memory (ST-LSTM) method for fault diagnosis of rotating machinery. The authors collected vibration signals from real rolling bearing and gearing test rigs for verification.

Through these two experiments, the authors demonstrate that machine learning methods still have advantages on small-scale data sets, but our proposed method exhibits a significant advantage due to the simultaneous modeling of the time domain and space domain. These results indicate the potential of the interactive spatiotemporal modeling method for fault diagnosis of rotating machinery.

The authors propose a ST-LSTM method for fault diagnosis of rotating machinery. The authors collected vibration signals from real rolling bearing and gearing test rigs for verification.

With the advancement of technology, microlearning has emerged as a promising method to improve the efficacy of teaching and learning. This study aims to investigate the document types, volume, growth trajectory, geographic contribution, coauthor relationships, prominent authors, research groups, influential documents and publication outlets in the microlearning literature.

We adapt the PRISMA guidelines to assess the eligibility of 297 Scopus-indexed documents from 2002 to 2021. Each was manually labeled by educational level. Descriptive statistics and science mapping were conducted to highlight relevant objects and their patterns in the knowledge base.

This study confirms the increasing trend of microlearning publications over the last two decades, with conference papers dominating the microlearning literature (178 documents, 59.86%). Despite global contributions, a concentrated effort from scholars in 15 countries (22.39%) yielded 68.8% of all documents, while the remaining papers were dispersed across 52 other nations (77.61%). Another significant finding is that most documents pertain to three educational level categories: lifelong learning, higher education and all educational levels. In addition, this research highlights six key themes in the microlearning domain, encompassing (1) Design and evaluation of mobile learning, (2) Microlearning adaptation in MOOCs, (3) Language teaching and learning, (4) Workflow of a microlearning system, (5) Microlearning content design, (6) Health competence and health behaviors. Other aspects analyzed in this study include the most prominent authors, research groups, documents and references.

The finding represents all topics at various educational levels to offer a comprehensive view of the knowledge base.

Organisations are investing in systems such as product lifecycle management (PLM) to support product development, collaboration across complex supply chains and to provide a framework for digital transformation. Graduates of apparel programmes would benefit from a knowledge of PLM to help realise the opportunities that PLM offers. The purpose of this paper is to report on an educational research project that used PLM as a context for practice-based learning and as a mechanism to update the learning experience and stimulate the development of future practice.

This paper reports on the experiences, critical reflections and data from an action research study to establish a learning community through an educational partnership for PLM software within an undergraduate fashion business course. The cohort of the first year of the intervention (n = 28) is the main study population.

The findings indicate that PLM provided a stimulating learning context supportive of a detailed understanding of current industry practice, critical and innovative thinking and the development of a professional identity.

The opportunity for the development of both industry and educational practice is outlined.

A general introduction to PLM provides important information to support and advance Fashion Industry 4.0. Educational partnerships can reduce barriers to the integration of advanced technologies into the higher education curriculum.

Applications of PLM are under researched in textiles and apparel. The paper contributes to the broadening of the knowledge base of PLM and its potential to achieve strategic transformation of the sector.

This study aims to investigate the impact of perceived subtle and overt discrimination on employees’ emotional exhaustion, along with potential mitigating factors such as social support, organizational inclusion and religiosity.

The research is based on a sample of 359 Muslim employees working in US restaurants. The data are analyzed using fuzzy-set Qualitative Comparative Techniques.

The results reveal that high/low emotional exhaustion in tourism and hospitality sector is triggered by multiple combinations of high/low levels of subtle and overt discrimination, family and friends support and religiosity. Such findings hold important implications to both theory and practice.

By using fuzzy-set Qualitative Comparative Analysis, this research stands out from studies on discrimination that use conventional statistical methods. It proposes several solutions leading to a single outcome (high/low emotional exhaustion). This new approach contributes to the advancement of theory in this context.

This study shows that there is no single best solution for high/low emotional exhaustion. Stated differently, multiple solutions provide several ways for firms to mitigate employees’ emotional exhaustion.

Religious discrimination in workplaces is increasing at an alarming rate, particularly in customer facing roles, such as the tourism and hospitality industry. This is having detrimental effects on employees from minority groups, often leading to excessive levels of emotional exhaustion. Nonetheless, the extant literature has somewhat understated the consequences of this issue, creating a void that needs to be fulfilled. This study addresses this gap.