A Bibliometric Analysis of Augmented Reality in Language Learning

Min, Wenhe; Yu, Zhonggen

doi:10.3390/su15097235

Cited by 13 publications

(2 citation statements)

References 48 publications

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“…Language learning is another area where AR has shown significant potential. Min and Yu (2023) conducted a bibliometric analysis of AR in language learning, revealing that both teachers and students have a positive attitude towards AR tools in this context. The study found that AR tools enhance language learning by providing an immersive learning context, increasing motivation, facilitating interaction, and reducing anxiety.…”

Section: Literature Review Understanding Ar/vr In Educational Contextsmentioning

confidence: 99%

Augmented and Virtual Reality in U.S. Education: A Review: Analyzing the Impact, Effectiveness, and Future Prospects of Ar/Vr Tools in Enhancing Learning Experiences

Babajide Tolulope Familoni,

Nneamaka Chisom Onyebuchi

2024

Int. j. appl. res. soc. sci.

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This study provides an in-depth analysis of the impact, effectiveness, and future prospects of Augmented Reality (AR) and Virtual Reality (VR) in educational settings. The primary objective was to explore how these immersive technologies are reshaping learning and teaching landscapes. Employing a systematic literature review and content analysis methodology, the research analyzed recent scholarly articles and reports from 2014 to 2024, focusing on AR/VR applications in education. The findings reveal that AR and VR significantly enhance learning experiences by offering immersive, interactive, and engaging environments. These technologies have been shown to improve student engagement, knowledge retention, and skill development. AR enriches traditional educational materials by overlaying digital information onto the real world, while VR facilitates experiential learning in virtual environments. However, challenges such as high costs, technical infrastructure requirements, and content development complexities were identified as barriers to widespread adoption. The study predicts a future where AR and VR technologies will continue to evolve, focusing on enhancing user experience, improving accessibility, and integrating seamlessly into educational curricula. Recommendations for stakeholders, including educators, administrators, and policymakers, emphasize the need for investment in infrastructure, educator training, content development, and collaboration with technology companies. Lastly, AR and VR technologies hold great promise for transforming educational practices. Addressing current challenges and leveraging opportunities will be key to realizing their full potential in enhancing teaching and learning experiences. Continued research and innovation in this field are essential for the effective integration of AR and VR in education. Keywords: Augmented Reality (AR), Virtual Reality (VR), Educational Technology, Immersive Learning.

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Section: Literature Review Understanding Ar/vr In Educational Contextsmentioning

confidence: 99%

Augmented and Virtual Reality in U.S. Education: A Review: Analyzing the Impact, Effectiveness, and Future Prospects of Ar/Vr Tools in Enhancing Learning Experiences

Babajide Tolulope Familoni,

Nneamaka Chisom Onyebuchi

2024

Int. j. appl. res. soc. sci.

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“…These tools, first developed a decade ago, are seeing increased and significant use in publication analysis, in particular for environmental scans and surveys. Visualization has become an important tool across understanding research domains as varied as deep learning in autonomous vehicles [86], understanding how COVID-19 has shaped research [87], and the links with Augmented Reality in learning [88]. This work has chosen VOSViewer for use, but does not preclude the use of other tools for future comparative analysis.…”

Section: Current State Of the Artmentioning

confidence: 99%

A Holistic Review of Cyber–Physical–Social Systems: New Directions and Opportunities

Sobb,

Turnbull,

Moustafa

2023

Sensors

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A Cyber–Physical–Social System (CPSS) is an evolving subset of Cyber–Physical Systems (CPS), which involve the interlinking of the cyber, physical, and social domains within a system-of-systems mindset. CPSS is in a growing state, which combines secure digital technologies with physical systems (e.g., sensors and actuators) and incorporates social aspects (e.g., human interactions and behaviors, and societal norms) to facilitate automated and secure services to end-users and organisations. This paper reviews the field of CPSS, especially in the scope of complexity theory and cyber security to determine its impact on CPS and social media’s influence activities. The significance of CPSS lies in its potential to provide solutions to complex societal problems that are difficult to address through traditional approaches. With the integration of physical, social, and cyber components, CPSS can realize the full potential of IoT, big data analytics, and machine learning, leading to increased efficiency, improved sustainability and better decision making. CPSS presents exciting opportunities for innovation and advancement in multiple domains, improving the quality of life for people around the world. Research challenges to CPSS include the integration of hard and soft system components within all three domains, in addition to sociological metrics, data security, processing optimization and ethical implications. The findings of this paper note key research trends in the fields of CPSS, and recent novel contributions, followed by identified research gaps and future work.

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A comprehensive bibliometric and content analysis of artificial intelligence in language learning: tracing between the years 2017 and 2023

Rahman,

Raj,

Tomy

et al. 2024

Artif Intell Rev

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The rising pervasiveness of Artificial Intelligence (AI) has led applied linguists to combine it with language teaching and learning processes. In many cases, such implementation has significantly contributed to the field. The retrospective amount of literature dedicated on the use of AI in language learning (LL) is overwhelming. Thus, the objective of this paper is to map the existing literature on Artificial Intelligence in language learning through bibliometric and content analysis. From the Scopus database, we systematically explored, after keyword refinement, the prevailing literature of AI in LL. After excluding irrelevant articles, we conducted our study with 606 documents published between 2017 and 2023 for further investigation. This review reinforces our understanding by identifying and distilling the relationships between the content, the contributions, and the contributors. The findings of the study show a rising pattern of AI in LL. Along with the metrics of performance analysis, through VOSviewer and R studio (Biblioshiny), our findings uncovered the influential authors, institutions, countries, and the most influential documents in the field. Moreover, we identified 7 clusters and potential areas of related research through keyword analysis. In addition to the bibliographic details, this review aims to elucidate the content of the field. NVivo 14 and Atlas AI were used to perform content analysis to categorize and present the type of AI used in language learning, Language learning factors, and its participants.

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A Bibliometric Analysis of Augmented Reality in Language Learning

Cited by 13 publications

References 48 publications

Augmented and Virtual Reality in U.S. Education: A Review: Analyzing the Impact, Effectiveness, and Future Prospects of Ar/Vr Tools in Enhancing Learning Experiences

Augmented and Virtual Reality in U.S. Education: A Review: Analyzing the Impact, Effectiveness, and Future Prospects of Ar/Vr Tools in Enhancing Learning Experiences

A Holistic Review of Cyber–Physical–Social Systems: New Directions and Opportunities

A comprehensive bibliometric and content analysis of artificial intelligence in language learning: tracing between the years 2017 and 2023

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