Digital twins and the terminology of “personalization” or “personalized learning” in educational policy: A discussion paper

Arantes, Janine Aldous

doi:10.1177/14782103231176357

Cited by 6 publications

(2 citation statements)

References 68 publications

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“…Diverging from the broader analysis of Timotheou et al ( 2023) about digital media's impact on education, this review unravels the prospects of streaming platforms to tailor learning content for various types of learners. This perspective expands new understanding into the flexibility of digital tools in individualizing language learning experiences (Arantes, 2023;Schmid et al, 2023).…”

Section: Discussionmentioning

confidence: 85%

Streaming Media for English Language Learners’ Vocabulary Development: A Systematic Review of Features and Challenges

Gatcho

2024

IJLTER

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Focusing on the educational potential of streaming media in English language learners' (ELLs) vocabulary development, this systematic review bridges a notable gap in understanding the nuances of digital learning tools. Utilizing the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) framework, this review meticulously sifted through academic databases, selecting 22 peer-reviewed journal articles that met stringent eligibility criteria. Keywords that were used to identify the studies were “Streaming Media/Utilization/Implementation/Adoption” or “Vocabulary Learning/Development/Acquisition/Enhancement” and “English Language Learning” or “ESL/EFL Contexts/Environments/Settings.” It yielded six key themes contributing to vocabulary enhancement in ELLs: Authentic Learning Content, Adaptability, Engaging Material, Consolidation, Subtitle, and Multimodality. Concurrently, it revealed five prominent challenges: Limited Content, Access Issues, Passive Learning Risks, Reduced Focus, and Inadequate Pedagogical Support. Employing thematic analysis, the review offers a structured synthesis of these findings. This comprehensive approach not only highlights the beneficial aspects of streaming media in language education but also underscores the critical challenges that educators, educational technologists, and curriculum designers must navigate. The insights gained are poised to guide effective incorporation of streaming media in ELL vocabulary instruction, signifying a step forward in harnessing digital platforms for educational enhancement.

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Section: Discussionmentioning

confidence: 85%

Streaming Media for English Language Learners’ Vocabulary Development: A Systematic Review of Features and Challenges

Gatcho

2024

IJLTER

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“…In ref. [93], Arantes et al, highlighted the integration of the Digital Twin in the educational context, emphasizing the differences between technology-driven customization and human-centered personalized learning, given the promotion of a personalized learning policy in K-12 educational environments. The advancement of Digital Twin integration in the educational domain has coincided with the development of the Metaverse.…”

Section: Digital Twin In Other Domainsmentioning

confidence: 99%

Digital Twin—A Review of the Evolution from Concept to Technology and Its Analytical Perspectives on Applications in Various Fields

Iliuţă,

Moisescu,

Pop

et al. 2024

Applied Sciences

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Digital Twin (DT) technology has experienced substantial advancements and extensive adoption across various industries, aiming to enhance operational efficiency and effectiveness. Defined as virtual replicas of physical objects, systems, or processes, Digital Twins enable real-time simulation, monitoring, and analysis of real-world behavior. This comprehensive review delves into the evolution of DT technology, tracing its journey from conceptual origins to contemporary technological implementations. The review provides detailed definitions, a classification of different types of Digital Twins, and a comparative analysis of their architectures. Furthermore, it investigates the application of DT technology in diverse sectors, with a particular emphasis on medicine and manufacturing, exemplified by use cases such as personalized medicine. Moreover, the review highlights emerging trends and future directions in DT technology, underscoring the transformative potential of integrating artificial intelligence and machine learning to augment DT capabilities. This analysis not only elucidates the current state of DT technology but also anticipates its future trajectory and impact across multiple domains.

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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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Digital twins and the terminology of “personalization” or “personalized learning” in educational policy: A discussion paper

Cited by 6 publications

References 68 publications

Streaming Media for English Language Learners’ Vocabulary Development: A Systematic Review of Features and Challenges

Streaming Media for English Language Learners’ Vocabulary Development: A Systematic Review of Features and Challenges

Digital Twin—A Review of the Evolution from Concept to Technology and Its Analytical Perspectives on Applications in Various Fields

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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