Cheong Kim , Francis Joseph Costello , Jungwoo Lee , Kun Chang Lee
{"title":"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","authors":"Cheong Kim , Francis Joseph Costello , Jungwoo Lee , Kun Chang Lee","doi":"10.1016/j.ipm.2024.103957","DOIUrl":null,"url":null,"abstract":"<div><div>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 (<em>n</em> = 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.</div></div>","PeriodicalId":50365,"journal":{"name":"Information Processing & Management","volume":"62 1","pages":"Article 103957"},"PeriodicalIF":7.4000,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Metaverse-based distance learning as a transactional distance mitigator and memory retrieval stimulant\",\"authors\":\"Cheong Kim , Francis Joseph Costello , Jungwoo Lee , Kun Chang Lee\",\"doi\":\"10.1016/j.ipm.2024.103957\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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 (<em>n</em> = 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.</div></div>\",\"PeriodicalId\":50365,\"journal\":{\"name\":\"Information Processing & Management\",\"volume\":\"62 1\",\"pages\":\"Article 103957\"},\"PeriodicalIF\":7.4000,\"publicationDate\":\"2024-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Information Processing & Management\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0306457324003169\",\"RegionNum\":1,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Processing & Management","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0306457324003169","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Metaverse-based distance learning as a transactional distance mitigator and memory retrieval stimulant
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.
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.