A Collaborative Metaverse based A-La-Carte Framework for Tertiary Education (CO-MATE)

Joshi, Swati; Pramod, P.J.

doi:10.1016/j.heliyon.2023.e13424

Cited by 32 publications

(21 citation statements)

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“…This unprecedented growth in metaverse-related research underscores the concept's increasing prominence in both academia and industry. This burgeoning interest can be attributed to several factors, including technological advancements, the proliferation of virtual economies, and the impact of global events such as the COVID-19 pandemic, which accelerated the adoption of virtual experiences [91][92][93]. Overall, the data reflects a rapidly evolving academic landscape characterized by an exponential surge in metaverserelated publications.…”

Section: Academic Output Relevant Journals and Influential Authorsmentioning

confidence: 97%

Mapping Metaverse Research: Identifying Future Research Areas Based on Bibliometric and Topic Modeling Techniques

Rejeb

Treiblmaier

2023

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The metaverse represents an immersive digital environment that has garnered significant attention as a result of its potential to revolutionize various industry sectors and its profound societal impact. While academic interest in the metaverse has surged, a dearth of comprehensive review articles employing bibliometric techniques remains. This study seeks to address this gap by analyzing 595 metaverse-related journal articles using bibliometric and topic modeling techniques, marking the first of its kind to investigate the bibliometric profile of metaverse research. The findings reveal exponential growth in metaverse research since 2020, identifying major trends, prolific authors, and the most active journals in the field. A keyword co-occurrence analysis further uncovers four significant clusters of metaverse-related interests, highlighting its unique facets and underscoring its far-reaching implications across various sectors, including education, healthcare, retail, and tourism. This study emphasizes the need for more research and collaboration in advancing the metaverse field and presents 27 research questions for future investigation. This comprehensive analysis serves as a foundation for understanding the current state of metaverse research and its potential trajectory.

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Section: Academic Output Relevant Journals and Influential Authorsmentioning

confidence: 97%

Mapping Metaverse Research: Identifying Future Research Areas Based on Bibliometric and Topic Modeling Techniques

Rejeb

Treiblmaier

2023

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“…In recent years, the concept of smart applications has drawn more attention from both public and private companies because of its potential benefits. These benefits include increasing business motivation and engagement (Chen & Zhang, 2022;Díaz et al, 2020;Joshi et al, 2023;Tugtekin, 2023) and providing immersive learning experiences that simulate real-world scenarios (Akour et al, 2022;Dincelli & Yayla, 2022;Tan et al, 2022). As to the findings of Joshi and Pramod (2023), Jovanović and Milosavljević (2022), and Dincelli and Yayla (2022), smart applications and technology facilitate cooperative monitoring and exchange of knowledge among workers and professionals.…”

Section: Overview Of the Smart Applications Concept And Its Adoption ...mentioning

confidence: 99%

“…These benefits include increasing business motivation and engagement (Chen & Zhang, 2022;Díaz et al, 2020;Joshi et al, 2023;Tugtekin, 2023) and providing immersive learning experiences that simulate real-world scenarios (Akour et al, 2022;Dincelli & Yayla, 2022;Tan et al, 2022). As to the findings of Joshi and Pramod (2023), Jovanović and Milosavljević (2022), and Dincelli and Yayla (2022), smart applications and technology facilitate cooperative monitoring and exchange of knowledge among workers and professionals. A typical example of performance of smart applications is a virtual work environment called Second Life, the University of Texas at San Antonio (UTSA), which allows staff to explore and interact with virtual representations of real-world settings.…”

Section: Overview Of the Smart Applications Concept And Its Adoption ...mentioning

confidence: 99%

“…Supporting multiple users in a virtual environment is one of the main needs for infrastructure. Millions of users are expected to benefit from smart applications, thus both public and private businesses need to make sure their virtual environments can support this demand (Díaz et al, 2020;Joshi & Pramod, 2023).…”

Section: Barriers and Challenges To Performance Of Smart Applications...mentioning

confidence: 99%

“…To secure user data, this entails using firewalls, encryption, and other security measures (Qamar et al, 2023;. Furthermore, it is imperative that both public and private establishments acknowledge the possibility of cyberbullying and harassment within smart applications and implement preventive measures accordingly (Alkashami et al, 2023;Joshi & Pramod, 2023;Tugtekin, 2023) Lastly, consideration needs to assure the privacy and ethical issues surrounding the use of smart applications in both public and private sectors. For example, employing smart applications-based systems platforms that contain sensitive data may affect databases privacy and security vulnerabilities (Kaddoura & Al Husseiny, 2023;Tugtekin, 2023).…”

Section: Barriers and Challenges To Performance Of Smart Applications...mentioning

confidence: 99%

See 2 more Smart Citations

The Impact of Harnessing Total Quality Management Studies on the Performance of Smart Applications: A study in Public and Private Sectors in the UAE

Shwedeh,

Aldabbagh,

Aburayya

et al. 2023

Migrat. Lett.

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This study explores the complex environment of smart applications technology in the UAE's public and private sectors, looking into the complex interactions between technological adaptability and accessibility as well as the effects of Total Quality Management (TQM) studies presented by policies and regulations. Data was collected by a multistage sampling strategy, mixing probability and non-probability methods, using a cross-sectional research design. To ensure impartial item creation and adherence to best practices, a pretested questionnaire underwent extensive examination. Through the revelation of unexpected results, the research tests and expands upon the Technology Acceptance Model (TAM). There is a request for an enlarged TAM framework because there is no substantial correlation found between accessibility and the performance of smart applications. A negative link is resulted, unexpectedly, between technology adaptation and TQM adoption, underscoring the necessity of a cautious integration strategy. The report also emphasizes how important TQM policies and regulations are to the functioning of smart applications, supporting the need for a thorough TAM framework that takes in regulatory dynamics into consideration. Practical implications for stakeholders, quality policymakers, and institutions are presented by the findings, which highlight several adoption aspects beyond accessibility. This research adds a contribution on smart application performance and develops theoretical models for integrating technology in organizational settings. The rigorous design of the methodology highlights the integrity of the study and guarantees the validity of the insights obtained from the investigation.

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Exploring the public's beliefs, emotions and sentiments towards the adoption of the metaverse in education: A qualitative inquiry using big data

Mahmoud

2024

British Educational Res J

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The metaverse is rapidly reshaping our understanding of education, yet identifying the public's beliefs, emotions and sentiments towards its adoption in education remains largely uncharted empirically. Grounded in the Technology Acceptance Model (TAM) and Digital Diffusion Theory (DOI), this paper aims to fill this gap using a big‐data approach and machine learning to scrape comments made by social media users on recent popular posts or videos related to adopting the metaverse in education from three prominent social media platforms. The cleaning process narrowed down 11,024 comments to 4277, then analysed them using thematic, emotion and sentiment analysis techniques. The thematic analysis revealed that adopting the metaverse in education evokes a complex range of public beliefs: (1) innovative learning methods; (2) accessibility and inclusion; (3) concerns about quality and effectiveness; (4) technological challenges and the digital divide; (5) the future of work and skills; and (6) privacy and security concerns. Integrating these themes with emotion and sentiment analyses reveals a landscape of a significant portion of neutral sentiments that corroborates enthusiasm attenuated by caution. This careful consideration stresses the urgent need for a balanced approach to adopting the metaverse in education to ensure that resulting educational advancements benefit all learners equitably. As one of the first studies to offer a multidimensional view of the public's beliefs about metaverse education using big data, this research not only contributes to TAM and DOI but also provides critical insights that could inform policy, enhance educational practices and guide future scholarship in this emerging field.

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A Collaborative Metaverse based A-La-Carte Framework for Tertiary Education (CO-MATE)

Cited by 32 publications

References 100 publications

Mapping Metaverse Research: Identifying Future Research Areas Based on Bibliometric and Topic Modeling Techniques

Mapping Metaverse Research: Identifying Future Research Areas Based on Bibliometric and Topic Modeling Techniques

The Impact of Harnessing Total Quality Management Studies on the Performance of Smart Applications: A study in Public and Private Sectors in the UAE

Exploring the public's beliefs, emotions and sentiments towards the adoption of the metaverse in education: A qualitative inquiry using big data

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