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By older adulthood, the majority of individuals will have experienced at least one traumatic event. Trauma-informed care (TIC) is proposed to improve effectivity of health-care provision and to reduce likelihood of services causing retraumatisation. This study aims to assess the effectiveness of staff training in TIC in older adult services.

TIC training was delivered across eight Older Adult Community Mental Health Teams in the same UK organisation. Questionnaires were administered before and after training: a psychometrically robust measure, the Attitudes Related to Trauma-Informed Care, was used to assess TIC-related attitudes, and a service-developed scale was used to measure changes in TIC competence. Data was analysed using linear mixed effects modelling (LMM). Qualitative data regarding the impact of training was gathered one month after training through a free-text questionnaire.

There were 45 participants, all of whom were white British. LMM on pre- and post-data revealed that staff training significantly increased competencies across all measured TIC domains. Overall, staff attitudes were also significantly more trauma-informed after training. Qualitatively, staff identified time as the only additional resource required to deliver the skills and knowledge gained from training.

Training was found to be effective in increasing TIC-related skills and attitudes. Organisations aiming to become trauma-informed should consider staff training as one aspect of a wider development plan.

To the best of the authors’ knowledge, this paper is the first to examine TIC training for staff working in Older Adults Mental Health Services. Recommendations for services aiming to develop a trauma-informed culture have been provided.

The paper aims to tackle the classification of Remote Sensing Images (RSIs), which presents a significant challenge for computer algorithms due to the inherent characteristics of clustered ground objects and noisy backgrounds. Recent research typically leverages larger volume models to achieve advanced performance. However, the operating environments of remote sensing commonly cannot provide unconstrained computational and storage resources. It requires lightweight algorithms with exceptional generalization capabilities.

This study introduces an efficient knowledge distillation (KD) method to build a lightweight yet precise convolutional neural network (CNN) classifier. This method also aims to substantially decrease the training time expenses commonly linked with traditional KD techniques. This approach entails extensive alterations to both the model training framework and the distillation process, each tailored to the unique characteristics of RSIs. In particular, this study establishes a robust ensemble teacher by independently training two CNN models using a customized, efficient training algorithm. Following this, this study modifies a KD loss function to mitigate the suppression of non-target category predictions, which are essential for capturing the inter- and intra-similarity of RSIs.

This study validated the student model, termed KD-enhanced network (KDE-Net), obtained through the KD process on three benchmark RSI data sets. The KDE-Net surpasses 42 other state-of-the-art methods in the literature published from 2020 to 2023. Compared to the top-ranked method’s performance on the challenging NWPU45 data set, KDE-Net demonstrated a noticeable 0.4% increase in overall accuracy with a significant 88% reduction in parameters. Meanwhile, this study’s reformed KD framework significantly enhances the knowledge transfer speed by at least three times.

This study illustrates that the logit-based KD technique can effectively develop lightweight CNN classifiers for RSI classification without substantial sacrifices in computation and storage costs. Compared to neural architecture search or other methods aiming to provide lightweight solutions, this study’s KDE-Net, based on the inherent characteristics of RSIs, is currently more efficient in constructing accurate yet lightweight classifiers for RSI classification.

Business process training is a crucial activity in the business process management lifecycle, performed whenever an organization needs to train workers about how to carry out their activities according to defined processes, after significant process changes, or whenever new workers come on board. Due to their motivational character, serious games have been understood as an unconventional alternative to support training in organizational processes. Still, methodologies to design serious digital games specifically for business process training are missing in the literature. This research paper presents a method – Play Your Process for Training (PYP4Training) – for designing digital games for business process training.

The research is guided by design science research methodologies and comprises the adaptation of Play Your Process (PYP), a method for designing business process-based digital games (BPBDG). PYP activities and supporting tools were shaped to cope with the specific requirements of BPBDG design for process training purposes, bringing to light a new method: PYP4Training.

PYP4Training was evaluated by designing a BPBDG for training a heavy equipment maintenance process in a multinational mining company. The game was evaluated by process owners and actors who reported a positive perception of the game as an option for process training. However, there is still space for improving trainees' engagement.

The research proposes an innovative way for business process training using digital games. Nevertheless, literature shows a lack of systematic procedures to build such games and results about their use.

The purpose of this study is to determine the perception of graduates from teaching degree programs in Early Childhood and Primary Education carried out in Spain in accordance with the European Higher Education Area, who are currently working in classrooms, on their initial training in the educational treatment of diversity (ETD). In addition, potential differences were examined based on the teaching degree that was studied (Early Childhood or Primary).

This study used a mixed methodology including an ad hoc questionnaire and a semi-structured interview. Participants were 140 working teachers who had previously earned their degree in Early Childhood or Primary Education programs. Data analysis was carried out from an integrative perspective, using a basic descriptive focus and content analysis.

The results reveal that the new teachers considered that their initial training in the area of ETD was not as extensive as it should have been and as required by their daily teaching needs. They felt that they had acquired better education in the theoretical content as compared to the practical component. They mentioned a lack of training to attend to students entering the system at a later stage as well as for those with high intellectual abilities, noting that the initial training in ETD focused excessively on deficits and not enough on potentialities and other student diversities.

This study may be useful as it offers an improved adaptation to the reality of early education in ETD classrooms of future teachers, both for the competent education administrations and universities. It may also serve as a starting point to adjust the permanent training offer for teachers to their specific needs, making up for the deficiencies of their initial training.

The principal aim of this research is to acquire a deeper understanding of the opinion held by the training and development (T&D) professionals, regarding the use of artificial intelligence (AI) technology in the area of T&D. Particularly in response to the evolving needs of learners, the research aims to ascertain T&D professionals' perspective on the efficiency of AI in fostering T&D, while understanding the constraints and limitations associated with this technology.

The study is based on qualitative data. With the help of semi-structured interviews, qualitative data has been collected from 21 T&D professionals. Experts working with multinational corporations (MNCs) are selected as a study sample using a convenient sampling technique. Qualitative data were analysed using thematic analysis. Conclusions were drawn based on the results of thematic analysis.

The findings of the study have revealed a notable and rapid evolution in the requirements of learners, particularly during and post-COVID-19 period. AI-based technology has emerged as a significant contributor, offering learners distinct personalised experiences and enhanced convenience. However, the implementation of AI in training remains in its early stages and has not reached widespread adoption. The findings of the study also highlighted various challenges and limitations, while using AI-based technology for training. It has been found that AI complements rather than replaces the role of a physical trainer.

The originality of this study lies in the application of AI-based training for professional learners, from the perspective of the T&D practitioners working with MNCs in Maharashtra, India. Numerous studies that have recently been published, emphasise the areas in which AI technology can transform the T&D industry. Yet, there are currently very less studies that have attempted to understand the evolving needs of learners and support of AI-based training for the same, from the perspective of the T&D professionals working in Maharashtra, India.

This article examines the role the Australian Trade Union Training Authority (TUTA) played in international education through the provision of trade union courses and exchanges. We consider how an investigation of trade union networks contributes to a richer understanding of international education linkages.

This paper is based on research conducted for an Australian Research Council (ARC)-funded project: Trade union training: reshaping the Australian industrial landscape (ARC LP180100500). This research involved a critical analysis of 60 semi-structured oral history interviews and textual archives, including the official records held by the National Archives of Australia and papers held by the Noel Butlin Archives, the Australian Council of Trade Unions and in private collections.

TUTA was established primarily as a national union training organisation, but from its inception, it also acted as a hub for the development of regional and international labour networks. The nature of TUTA’s work placed it at the intersection of international trade union and educational domains. Although there were some points of contact with formal international programs (e.g. Japan–Australia and Kellogg Foundations, the Colombo Plan and US Department of Labour exchanges schemes), the specific contribution of TUTA is overlooked in the educational exchange literature. The role of TUTA is revealed through institutional connections and individual experiences.

Further research is required to gain a deeper understanding of the impact of TUTA from the perspective of former participants in international TUTA course and current and former trade unionists in the Asia–Pacific.

This article builds new knowledge by examining the connections forged in the Asia–Pacific region at the intersection of trade union and educational networks, an area often overlooked in the literature on educational exchange.

Lesson studies, a methodology originally developed in Japan, has been used in an increasing number of contexts, both in relation to initial teacher training and in the context of ongoing professional development. However, the research reported on the use of lesson studies in the training of physical education teachers is very limited. The aim of this review is to identify and analyze published studies on physical education lesson studies and to describe the advantages of using the methodology in the context of this discipline.

Exploratory searches were carried out in four multiple-search databases, and 14 publications were found. Information was collected about authors, year of publication, origin and type of study, purposes, concept of the lesson study, methodology and results.

The results of the different studies point in the same direction – potential of lesson studies in physical education in initial training and professional development; valuing collaborative work, contextualization and continuous nature; lesson studies as a significant experience; need to create conditions for teachers’ participation in lesson studies; need for further investigation.

The research reported on the use of lesson studies in the training of physical education teachers is very limited. This review is intended to cover all studies related to the theme of physical education lesson studies published in indexed journals.

The purpose of this study is to determine what technological strategies were used within each of the phases of the ADDIE framework when developing content for professional training. The study also examined the affordances of those technologies in training.

A PRISMA systematic review methodology (Moher et al., 2015) was utilized to answer the four questions guiding this study. Specifically, the PRISMA extension Preferred Reporting Items for Systematic Reviews and Meta-Analysis for Protocols (PRISMA-P, Moher et al., 2015) was used to direct each stage of the research, from the literature review to the conclusion. In addition, the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA principles; Liberati et al., 2009) are used to guide the article selection process.

The findings reveal that the majority of the studies were in healthcare (36%) and education (24%) and used an online format (65%). There was a wide distribution of ADDIE used with technology across the globe. The coding for the benefits of technology use in the development of the training solution revealed four trends: 1) usability, 2) learning approaches, 3) learner experience and 4) financial.

This systematic review only examined articles published in English, which may bias the findings to a Western understanding of how technology is used within the ADDIE framework. Furthermore, the study examined only peer-review academic articles from scholarly journals and conferences. While this provided a high level of assurance about the quality of the studies, it does not include other reports directly from training providers and other organizations.

These findings can be used as a springboard for training providers, scholars, funders and practitioners, providing rigorous insight into how technology has been used within the ADDIE framework, the types of technology, and the benefits of using technology. This insight can be used when designing future training solutions with a better understanding of how technology can support learning.

This study provides insight into the uses of technology in training. Many of these findings and uses of technology within ADDIE can also transfer to other aspects of society.

This study is unique in that it provides the scholarly community with the first systematic review to examine what technological strategies were used within each of the phases of the ADDIE structure and how these technologies provided benefits to developing a training solution.

This doctoral study arose from a need for policy and training change across further education (FE), to create competent practitioners and a whole college mental and emotional health training framework. Policy cites FE as key to supporting student mental health but there is a significant lack of training and research output supporting this ambition. As a mental health and well-being specialist, I became immersed in the context of FE to design, deliver and evaluate a whole college training model.

The study predominantly utilises qualitative methodology following constructivism as a theoretical framework. Utilising Goleman's (1995) and Mezirow's (2000) theories, the study seeks to redefine professional development by introducing transformational learning through Mental Health First Aid and Emotional training. A mixed-method approach ensures a demonstration of impact, specifically the confidence and knowledge of FE staff.

Thematic analysis allows for the contextualisation of staff experience and explores to which FE roles mental and emotional health support should belong. This enables prescribing of key elements for a whole college training approach. A diverse range of pastoral and academic staff demonstrate, via interviews and focus groups, a significant belief that FE mental and emotional health support cannot and should not solely be the responsibility of pastoral staff; this is an outdated model requiring regeneration. This research provides recommendations for FE practice; concluding with the recommendation that affective training must allow opportunity to explore pre-existing schemas and development of new constructions and conceptualisations; those in education require urgent opportunities to create new meanings of mental and emotional health. The study recommends a regeneration of the labelled ‘whole’ approach, including universal mandatory training for all FE staff.

This study aims to offer a comprehensive exploration of the potential and challenges associated with sensor fusion-based virtual reality (VR) applications in the context of enhanced physical training. The main objective is to identify key advancements in sensor fusion technology, evaluate its application in VR systems and understand its impact on physical training.

The research initiates by providing context to the physical training environment in today’s technology-driven world, followed by an in-depth overview of VR. This overview includes a concise discussion on the advancements in sensor fusion technology and its application in VR systems for physical training. A systematic review of literature then follows, examining VR’s application in various facets of physical training: from exercise, skill development and technique enhancement to injury prevention, rehabilitation and psychological preparation.

Sensor fusion-based VR presents tangible advantages in the sphere of physical training, offering immersive experiences that could redefine traditional training methodologies. While the advantages are evident in domains such as exercise optimization, skill acquisition and mental preparation, challenges persist. The current research suggests there is a need for further studies to address these limitations to fully harness VR’s potential in physical training.

The integration of sensor fusion technology with VR in the domain of physical training remains a rapidly evolving field. Highlighting the advancements and challenges, this review makes a significant contribution by addressing gaps in knowledge and offering directions for future research.