Search results

The ability to measure cognitive load in the workplace provides several opportunities to improve workplace learning. In recent years, virtual reality (VR) has seen an increase in use for training and learning applications due to improvements in technology and reduced costs. This study aims to focus on the use of simulation task load index (SIM-TLX), a recently developed self-reported measure of cognitive load for virtual environments to measure cognitive load while undertaking tasks in different environments.

The authors conducted a within-subject design experiment involving 14 participants engaged in digit-recall n-back tasks (1-back and 2-back) in two VR environments: a neutral grey environment and a realistic industrial ozone facility. Cognitive load was then assessed using the SIM-TLX.

The findings revealed higher task difficulty for the 2-back task due to higher mental demand. Furthermore, a notable interaction emerged between cognitive load and different virtual environments.

This study relied solely on an n-back task and SIM-TLX self-report measure to assess cognitive load. Future studies should consider including ecologically valid tasks and physiological measurement tools such as eye-tracking to measure cognitive load.

Identifying cognitive workload sources during VR tasks, especially in complex work environments, is considered beneficial to the application of VR training aimed at improving workplace learning.

This study provides unique insights into measuring cognitive load from various sources as defined by the SIM-TLX sub-scales to investigate the impact of simulated workplace environments.

Education for sustainable development (ESD) is a developing educational concept that aims to achieve economic, social and environmental sustainability through education. Cultural sustainability education aims to cultivate awareness and protection of cultural assets, promote sustainable development and foster environmental responsibility. This study establishes a cyber-physical metaverse of cultural sustainability learning to cultivate students' motivation, multicultural identity, critical thinking and sustainability thinking.

In this study, virtual reality (VR) and 3D printing technologies were utilized to create a cyber-physical metaverse learning environment. This learning environment is designed to allow elementary school children to learn about indigenous cultures and the architecture of slate houses, as well as socio-architectural issues. Learners will be able to experience first-hand the plight of the indigenous tribal areas and the exploration of related cultural knowledge.

The study collected pre- and post-test data through questionnaires, using covariates to analyze learners' perceptions of learning. The results of this study showed that cyber-physical metaverse learning environment had a significant impact on learning motivation, multicultural identity and sustainability thinking for culturally sustainable education. However, this study’s impact on critical thinking skills in students remains to be confirmed.

This is a quasi-experimental study of a single country’s elementary school children in the indigenous area, so its findings cannot be extrapolated to other areas or to learners of different ages.

This study introduces a framework for incorporating both virtual and real cultures to promote sustainable learning. The cyber-physical metaverse learning is used to supplement teaching activities to enhance learners' motivation in learning multicultural knowledge. Students were able to recognize and protect cultural assets, as well as emphasize the importance of sustainable development.

Gamification has emerged as a dynamic force in education, with increasing interest in its impact on college students' learning. Most previous research regards gamification as a single element and only focuses on the cognitive level of gamification elements, lacking an overall exploration of the impact mechanism of gamification elements. Against the backdrop of virtual learning communities, we apply the cognition-affection-conation theory to examine the influence of various gamification elements on college students' online learning behaviors, examining both cognitive and affective pathways.

Data were collected through a predefined questionnaire from 11 Chinese virtual learning communities, with 587 respondents participating in the study. SmartPLS was employed to conduct a Partial Least Squares (PLS) analysis of the research model and test the hypotheses.

Our findings reveal that immersion and achievement-oriented gamification elements positively impact learning behavior. Conversely, the social gamification element exhibits a negative influence due to social burnout within virtual learning communities. This study pioneers a model to understand the intricate influence mechanisms of gamification elements on college students' online learning behaviors. The model contributes to the enriched exploration and practical application of college students' learning behaviors in virtual learning communities.

Unlike previous studies that often treat gamification as a single element and focus solely on cognitive aspects, this research explores both cognitive and affective pathways using cognition-affection-conation theory. By examining the influence of various gamification elements on college students' online learning behaviors in virtual learning communities, this study provides nuanced insights. In particular, immersion and achievement-oriented gamification elements positively impact learning behavior, while social gamification elements have a negative influence due to social burnout. This comprehensive approach deepens our understanding of how gamification affects students' learning experiences, enriches knowledge, and provides practical insights for educators and instructional designers.

Social virtual reality (SVR) has emerged as a solution for the facilitation of remote and distributed teamwork, promising to overcome challenges faced in virtual 2D communication channels. The purpose of this study is to systematically review empirical articles dealing with the application of SVR with head-mounted displays (HMDs) in teams.

This study reviewed 40 empirical papers on teamwork that address the application of SVR using HMD in teams. The authors present results from the extracted data and identify themes that indicate the current state of research in this field.

Based on data obtained from the journal articles, the authors identified three themes underlying current research. They are features and applications of SVR technology, collaboration dynamics and team performance in SVR and educational and professional training and learning. The results show that SVR enhances team collaboration and collaborative learning.

SVR can aid in improving teamwork and team outcomes. In its current stage, SVR is complementary to 2D technology and not likely to replace traditional tools. Findings suggest that the technology is promising for collaboration and learning in organisations, especially in collaborative design tasks and simulations.

To the best of the authors’ knowledge, this paper is one of the first studies to look at research emerging from the nascent area of SVR and summarise the current state of research. This study provides managerial implications and identifies future research areas for SVR in teamwork and learning.

This study aims to conduct a comprehensive review of scholarly literature on the educational impacts of the metaverse, systematically identifying emerging themes, challenges and implications for metaverse education.

The study uses systematic literature review techniques using the Scopus database to investigate empirical studies and systematic reviews specifically examining the convergence of the metaverse and education.

The study shows that the metaverse has a substantial influence on education, emphasising immersive learning, real social interactions and the transformation of traditional frameworks. This paper identifies nine themes, illuminating the growing relevance of metaverse tools in academic institutions, influencing learning methods, outcomes and positive student dispositions.

This study provides a foundation for further investigations into the metaverse’s potential to disseminate knowledge and enhance comprehension of metaverse technologies. It explores the metaverse’s potential in relation to progress, upcoming trends and cultural awareness while highlighting obstacles that must be addressed for effective metaverse teaching.

This research paper makes a substantial scholarly contribution by undertaking a systematic analysis of empirical studies and identifying emerging themes in the area of metaverse education. It offers substantial insights into the transformative potential of metaverse education and its implications for pedagogical and instructional approaches in the digitised era through the analysis of fundamental inquiries.

This paper aims to investigate the role of virtual training in supporting Sustainable Development Goals (SDGs) and reducing workforce inequalities. It analyzes both the advantages and challenges of integrating virtual training within sustainable development frameworks and the circular economy, underlining its crucial role in transforming workforce strategies and enhancing economic and social progress.

The study uses Becker’s human capital theory (1964) and Bandura’s social learning theory (1977) to explore the impact of virtual training on human capital development and its contributions to specific SDGs. This integrated approach provides a detailed exploration of how virtual training intersects with sustainable development initiatives.

The findings highlight the pivotal role of technology in training and development, particularly in the post-pandemic landscape. Virtual training significantly enhances global collaboration, inclusivity and sustainability. It highlights the necessity of adapting corporate training practices to digital environments, thereby improving the quality of education, advancing gender equality and stimulating economic growth.

This paper presents unique perspectives on the influence of workplace training in the post-pandemic era, focusing on technological integration. It discusses how such integration supports diversity, equity and inclusion within the workforce and highlights the essential role of virtual training in promoting organizational flexibility and enhancing employee skills amidst ongoing digital transformations.

Over the past decade, architecture, construction and engineering (ACE) industries have been evolving from traditional practices into more current, interdisciplinary and technology integrated methods. Intricate digital tools and mobile computing such as computational design, simulation and immersive technologies, have been extensively used for different purposes in this field. Immersive technologies such as augmented reality (AR) and virtual reality (VR) have proven to be very advantageous while the research is in its infancy in the field. Therefore, this study aims to develop an immersive pedagogical framework that can create a more engaging teaching and learning environment and enhance students' skill in the ACE field.

This study developed a BIM-enabled VR-based pedagogical framework for the design studio teaching in architectural courses, using a qualitative approach. A case study method was then used to test and validate this developed framework. Architectural Master Design Studio B, at Queensland University of Technology (QUT) was selected as the case study, with South Bank Corporation (SBC) as the industry partner and stakeholder of this project.

The practicality and efficiency of this framework was confirmed through increased students' and stakeholders' engagement. Some of the additional outcomes of this digitally enhanced pedagogical framework are as follows: enhanced students' engagement, active participation, collective knowledge construction and increased creativity and motivation.

The results have proven that the developed technology-enhanced and digitally enabled teaching pedagogy and framework can be successfully implemented into architectural design studios. This can bridge the existing gap between the technological advancements in ACE industry and higher education teaching and learning methods and outcomes. It is also expected that such innovative pedagogies will future-proof students' skill set as the future generation of architects and built environment workers. A major limitation of this framework is accessibility to the required hardware such as HMD, controllers, high-capacity computers and so on. Although the required software is widely accessible, particularly through universities licencing, the required hardware is yet to be readily and widely available and accessible.

The result of this study can be implemented in the architectural design studios and other ACE related classrooms in higher educations. This can bridge the existing gap between the technological advancements in ACE industry, and higher education teaching and learning methods and outcomes. It is also expected that such innovative pedagogies will future-proof students' skill set.

Such technology-enhanced teaching methods have proven to enhance students' engagement, active participation, collective knowledge construction and increased creativity and motivation.

Despite the advancement of digital technologies in ACE industry, the application of such technologies and tools in higher education context are not yet completely explored and still scarce. Besides, there is still a significant gap in the body of knowledge about developing teaching methods and established pedagogies that embrace the usage of such technologies in the design and architecture curricula.

The metaverse, which is now revolutionizing how brands strategize their business needs, necessitates understanding individual opinions. Sentiment analysis deciphers emotions and uncovers a deeper understanding of user opinions and trends within this digital realm. Further, sentiments signify the underlying factor that triggers one’s intent to use technology like the metaverse. Positive sentiments often correlate with positive user experiences, while negative sentiments may signify issues or frustrations. Brands may consider these sentiments and implement them on their metaverse platforms for a seamless user experience.

The current study adopts machine learning sentiment analysis techniques using Support Vector Machine, Doc2Vec, RNN, and CNN to explore the sentiment of individuals toward metaverse in a user-generated context. The topics were discovered using the topic modeling method, and sentiment analysis was performed subsequently.

The results revealed that the users had a positive notion about the experience and orientation of the metaverse while having a negative attitude towards the economy, data, and cyber security. The accuracy of each model has been analyzed, and it has been concluded that CNN provides better accuracy on an average of 89% compared to the other models.

Analyzing sentiment can reveal how the general public perceives the metaverse. Positive sentiment may suggest enthusiasm and readiness for adoption, while negative sentiment might indicate skepticism or concerns. Given the positive user notions about the metaverse’s experience and orientation, developers should continue to focus on creating innovative and immersive virtual environments. At the same time, users' concerns about data, cybersecurity and the economy are critical. The negative attitude toward the metaverse’s economy suggests a need for innovation in economic models within the metaverse. Also, developers and platform operators should prioritize robust data security measures. Implementing strong encryption and two-factor authentication and educating users about cybersecurity best practices can address these concerns and enhance user trust.

In terms of societal dynamics, the metaverse could revolutionize communication and relationships by altering traditional notions of proximity and the presence of its users. Further, virtual economies might emerge, with virtual assets having real-world value, presenting both opportunities and challenges for industries and regulators.

The current study contributes to research as it is the first of its kind to explore the sentiments of individuals toward the metaverse using deep learning techniques and evaluate the accuracy of these models.

Construction companies are increasingly adopting sensing technologies like laser scanners, making it necessary to upskill the future workforce in this area. However, limited jobsite access hinders experiential learning of laser scanning, necessitating the need for an alternative learning environment. Previously, the authors explored mixed reality (MR) as an alternative learning environment for laser scanning, but to promote seamless learning, such learning environments must be proactive and intelligent. Toward this, the potentials of classification models for detecting user difficulties and learning stages in the MR environment were investigated in this study.

The study adopted machine learning classifiers on eye-tracking data and think-aloud data for detecting learning stages and interaction difficulties during the usability study of laser scanning in the MR environment.

The classification models demonstrated high performance, with neural network classifier showing superior performance (accuracy of 99.9%) during the detection of learning stages and an ensemble showing the highest accuracy of 84.6% for detecting interaction difficulty during laser scanning.

The findings of this study revealed that eye movement data possess significant information about learning stages and interaction difficulties and provide evidence of the potentials of smart MR environments for improved learning experiences in construction education. The research implication further lies in the potential of an intelligent learning environment for providing personalized learning experiences that often culminate in improved learning outcomes. This study further highlights the potential of such an intelligent learning environment in promoting inclusive learning, whereby students with different cognitive capabilities can experience learning tailored to their specific needs irrespective of their individual differences.

The classification models will help detect learners requiring additional support to acquire the necessary technical skills for deploying laser scanners in the construction industry and inform the specific training needs of users to enhance seamless interaction with the learning environment.

Prior research suggests that collaboration is key to sustainable community development and environmental management, and peer-to-peer learning (P2PL) may facilitate community building and collaborative learning skills. This study aims to examine the effect of P2PL on the enhancement of environmental management and sustainable development skills, community building and social capital (i.e. connectedness) and understanding of course learning objectives.

Quantitative and qualitative longitudinal survey data was collected in a sustainable development focused course offered at a large American public university that uses P2PL to explicitly facilitate community building and collaborative skills. Safety precautions and changing locational course offerings due to the COVID-19 pandemic in years 2020, 2021 and 2022 provided an opportunity to evaluate the impact of P2PL on these skills during both virtual and in-person formats. Additionally, this study compared in-course student evaluations with students taking other sustainable development-related courses with collaborative learning aspects to understand the wider effectiveness of this course structure.

This study finds that course format (virtual vs in-person) overall made no difference in either connectedness or conceptual understandings, and that students in both formats felt more connected to others than students taking other courses with P2PL. Scaffolding P2PL and supplemental peer support can yield improved connectedness and learning among students taking environmental coursework.

Sustainable development requires group collaboration and partnership building skills. Issues are consistently raised about the challenges to teaching these skills in higher education. The students and instructors in this research study identify P2PL strategies to address these challenges for in-person and virtual classroom settings.