Chen Li;Yue Jiang;Peter H. F. Ng;Yixin Dai;Francis Cheung;Henry C. B. Chan;Ping Li
{"title":"Edu-Metaverse 时代的协作学习:赋能技术实证研究","authors":"Chen Li;Yue Jiang;Peter H. F. Ng;Yixin Dai;Francis Cheung;Henry C. B. Chan;Ping Li","doi":"10.1109/TLT.2024.3352743","DOIUrl":null,"url":null,"abstract":"Computer-supported collaborative learning aims to use information technologies to support collaborative knowledge construction by practicing the relevant pedagogical approaches, especially in the distance learning setting. The enabling technologies are fast advancing, and the need for solutions during the COVID-19 global pandemic led to the emergence of the Edu-Metaverse, which is conceptualized as a collection of networked virtual worlds (i.e., the Metaverse) for learning. There is a great necessity to investigate how these more recent enabling technologies can support collaborative learning. This empirical study aims to collect both quantitative and qualitative results to fill the knowledge gaps. Specifically, 20 undergraduate students (three females and 17 males) taking the Game Design and Development course voluntarily participated in this study. The participants used three representative collaboration platforms (i.e., AltSpace, Gather, and ZOOM) in our laboratory for discussing three course-specific topics, simulating the undertaking of collaborative learning tasks in the distance learning setting. The results suggest that the participants were more engaged in the learning activities using the Metaverse platforms that offer avatar-mediated communications and collaborations (i.e., AltSpace and Gather). These platforms also gave the participants a stronger sense of copresence and belonging to the learning community. Potential improvements to the usability and the participants' feedback are also discussed in the article. We hope the results can contribute to the fast-growing use of the Metaverse-enabling technologies for educational purposes.","PeriodicalId":49191,"journal":{"name":"IEEE Transactions on Learning Technologies","volume":"17 ","pages":"1107-1119"},"PeriodicalIF":2.9000,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10399380","citationCount":"0","resultStr":"{\"title\":\"Collaborative Learning in the Edu-Metaverse Era: An Empirical Study on the Enabling Technologies\",\"authors\":\"Chen Li;Yue Jiang;Peter H. F. Ng;Yixin Dai;Francis Cheung;Henry C. B. Chan;Ping Li\",\"doi\":\"10.1109/TLT.2024.3352743\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Computer-supported collaborative learning aims to use information technologies to support collaborative knowledge construction by practicing the relevant pedagogical approaches, especially in the distance learning setting. The enabling technologies are fast advancing, and the need for solutions during the COVID-19 global pandemic led to the emergence of the Edu-Metaverse, which is conceptualized as a collection of networked virtual worlds (i.e., the Metaverse) for learning. There is a great necessity to investigate how these more recent enabling technologies can support collaborative learning. This empirical study aims to collect both quantitative and qualitative results to fill the knowledge gaps. Specifically, 20 undergraduate students (three females and 17 males) taking the Game Design and Development course voluntarily participated in this study. The participants used three representative collaboration platforms (i.e., AltSpace, Gather, and ZOOM) in our laboratory for discussing three course-specific topics, simulating the undertaking of collaborative learning tasks in the distance learning setting. The results suggest that the participants were more engaged in the learning activities using the Metaverse platforms that offer avatar-mediated communications and collaborations (i.e., AltSpace and Gather). These platforms also gave the participants a stronger sense of copresence and belonging to the learning community. Potential improvements to the usability and the participants' feedback are also discussed in the article. 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Collaborative Learning in the Edu-Metaverse Era: An Empirical Study on the Enabling Technologies
Computer-supported collaborative learning aims to use information technologies to support collaborative knowledge construction by practicing the relevant pedagogical approaches, especially in the distance learning setting. The enabling technologies are fast advancing, and the need for solutions during the COVID-19 global pandemic led to the emergence of the Edu-Metaverse, which is conceptualized as a collection of networked virtual worlds (i.e., the Metaverse) for learning. There is a great necessity to investigate how these more recent enabling technologies can support collaborative learning. This empirical study aims to collect both quantitative and qualitative results to fill the knowledge gaps. Specifically, 20 undergraduate students (three females and 17 males) taking the Game Design and Development course voluntarily participated in this study. The participants used three representative collaboration platforms (i.e., AltSpace, Gather, and ZOOM) in our laboratory for discussing three course-specific topics, simulating the undertaking of collaborative learning tasks in the distance learning setting. The results suggest that the participants were more engaged in the learning activities using the Metaverse platforms that offer avatar-mediated communications and collaborations (i.e., AltSpace and Gather). These platforms also gave the participants a stronger sense of copresence and belonging to the learning community. Potential improvements to the usability and the participants' feedback are also discussed in the article. We hope the results can contribute to the fast-growing use of the Metaverse-enabling technologies for educational purposes.
期刊介绍:
The IEEE Transactions on Learning Technologies covers all advances in learning technologies and their applications, including but not limited to the following topics: innovative online learning systems; intelligent tutors; educational games; simulation systems for education and training; collaborative learning tools; learning with mobile devices; wearable devices and interfaces for learning; personalized and adaptive learning systems; tools for formative and summative assessment; tools for learning analytics and educational data mining; ontologies for learning systems; standards and web services that support learning; authoring tools for learning materials; computer support for peer tutoring; learning via computer-mediated inquiry, field, and lab work; social learning techniques; social networks and infrastructures for learning and knowledge sharing; and creation and management of learning objects.