Metaverse-based distance learning as a transactional distance mitigator and memory retrieval stimulant

IF 7.4 1区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Cheong Kim , Francis Joseph Costello , Jungwoo Lee , Kun Chang Lee
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引用次数: 0

Abstract

This present study explores Metaverse-based Distance Learning (MDL) as a mitigative strategy of transactional distance (TD) and an enhancer of memory retrieval in an educational setting. We conducted two experimental studies. In the first study (n = 367 participants), we found that MDL significantly reduced perceived TD, leading to positive learner attitudes and increased intentions for repeat learning. The second study utilized functional Near-Infrared Spectroscopy (fNIRS) to assess hemodynamic responses in the prefrontal cortex of 30 participants, comparing brain activity during lectures in MDL and e-learning environments. Results indicated that MDL elicited higher oxy-Hb activation in the prefrontal cortex, particularly during cognitively challenging tasks, correlating with improved memory retrieval. Grounded in both Transactional Distance Theory (TDT) and context-dependent memory (CDM) frameworks, we found that the technological and educational potential of MDL not only reduces psychological barriers in distance learning but also shows how it can improve cognitive engagement and retention. These findings underscore the potential of MDL in distance education and suggest pathways for future research to explore its implications further, particularly in conjunction with other emerging technologies.
基于元数据的远程学习是一种交易距离缓解剂和记忆检索刺激剂
本研究探讨了基于元数据的远程学习(MDL)在教育环境中作为事务性距离(TD)的缓解策略和记忆检索增强器的作用。我们进行了两项实验研究。在第一项研究中(n = 367 名参与者),我们发现 MDL 显著降低了感知 TD,从而使学习者态度积极,并增加了重复学习的意愿。第二项研究利用功能性近红外光谱(fNIRS)评估了 30 名参与者前额叶皮层的血流动力学反应,比较了在 MDL 和电子学习环境中授课时的大脑活动。结果表明,MDL 在前额叶皮层引起了更高的氧-血活化,尤其是在具有认知挑战性的任务中,这与记忆检索的改善相关。在交易距离理论(TDT)和情境依赖记忆(CDM)框架的基础上,我们发现 MDL 的技术和教育潜力不仅能减少远程学习中的心理障碍,还能显示它是如何提高认知参与度和记忆保持率的。这些发现强调了 MDL 在远程教育中的潜力,并为今后的研究提出了进一步探索其影响的途径,特别是与其他新兴技术相结合。
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来源期刊
Information Processing & Management
Information Processing & Management 工程技术-计算机:信息系统
CiteScore
17.00
自引率
11.60%
发文量
276
审稿时长
39 days
期刊介绍: Information Processing and Management is dedicated to publishing cutting-edge original research at the convergence of computing and information science. Our scope encompasses theory, methods, and applications across various domains, including advertising, business, health, information science, information technology marketing, and social computing. We aim to cater to the interests of both primary researchers and practitioners by offering an effective platform for the timely dissemination of advanced and topical issues in this interdisciplinary field. The journal places particular emphasis on original research articles, research survey articles, research method articles, and articles addressing critical applications of research. Join us in advancing knowledge and innovation at the intersection of computing and information science.
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