Elevating students’ lives through immersive learning experiences in a safe metaverse

IF 20.1 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Alexandru Capatina , Nina Jane Patel , Kiril Mitrov , Dragos Sebastian Cristea , Adrian Micu , Angela-Eliza Micu
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引用次数: 0

Abstract

Metaverse platforms devoted to educational purposes are becoming increasingly popular among educators worldwide due to the benefits they offer in elevating students’ lives. This study explores how immersive platform features, blockchain features, a safe learning environment and new learning models contribute to the educational outcomes. Emerging literature on educational Metaverse platforms has been used to develop a genuine conceptual model. The model was tested using data collected from 100 educators located in different countries from worldwide. The data were analyzed using partial least squares structural equation modeling (PLS-SEM), Random Forest and other different feature importance methods, fuzzy-set qualitative comparative analysis (fsQCA), thematic content analysis and Latent Dirichlet Allocation (LDA). The application of PLS-SEM outlines that immersive platform features and safe learning environments positively affects educational outcomes. Random Forest and feature importance methods investigate the predictive power of items included in the model, fsQCA reveals the combinations of these factors that lead to high educational outcomes, while the qualitative insights reveal the key themes emerged from educators’ perspectives on the use of Metaverse platforms. This study contributes to Metaverse literature, which is relatively understudied in the educational sector.

在安全的元宇宙中通过身临其境的学习体验提升学生的生活品质
致力于教育目的的 Metaverse 平台因其在提升学生生活品质方面的优势而越来越受到全球教育工作者的青睐。本研究探讨了沉浸式平台功能、区块链功能、安全的学习环境和新的学习模式如何促进教育成果。有关教育 Metaverse 平台的新兴文献被用来开发一个真正的概念模型。该模型利用从全球不同国家的 100 名教育工作者那里收集的数据进行了测试。数据分析采用了偏最小二乘结构方程建模(PLS-SEM)、随机森林和其他不同的特征重要性方法、模糊集定性比较分析(fsQCA)、主题内容分析和潜在德里希勒分配(LDA)。PLS-SEM 的应用概述了身临其境的平台功能和安全的学习环境对教育成果的积极影响。随机森林和特征重要性方法研究了模型中各项目预测能力,fsQCA揭示了导致高教育成果的这些因素的组合,而定性见解则揭示了从教育工作者使用 Metaverse 平台的角度所产生的关键主题。本研究为教育领域研究相对不足的 Metaverse 文献做出了贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Information Management
International Journal of Information Management INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
53.10
自引率
6.20%
发文量
111
审稿时长
24 days
期刊介绍: The International Journal of Information Management (IJIM) is a distinguished, international, and peer-reviewed journal dedicated to providing its readers with top-notch analysis and discussions within the evolving field of information management. Key features of the journal include: Comprehensive Coverage: IJIM keeps readers informed with major papers, reports, and reviews. Topical Relevance: The journal remains current and relevant through Viewpoint articles and regular features like Research Notes, Case Studies, and a Reviews section, ensuring readers are updated on contemporary issues. Focus on Quality: IJIM prioritizes high-quality papers that address contemporary issues in information management.
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