Learner-Centered Analysis in Educational Metaverse Environments: Exploring Value Exchange Systems through Natural Interaction and Text Mining

• URL: http://arxiv.org/abs/2305.08326v1
• Date: Mon, 15 May 2023 03:25:44 GMT
• Title: Learner-Centered Analysis in Educational Metaverse Environments: Exploring Value Exchange Systems through Natural Interaction and Text Mining
• Authors: Yun-Cheng Tsai
• Abstract summary: This paper explores the potential developments of self-directed learning in the metaverse. It highlights the importance of education keeping up with technological advancements and adopting learner-centered approaches.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This paper explores the potential developments of self-directed learning in the metaverse in response to Education 4.0 and the Fourth Industrial Revolution. It highlights the importance of education keeping up with technological advancements and adopting learner-centered approaches. Additionally, it focuses on exploring value exchange systems through natural interaction, text mining, and analysis. The metaverse concept extends beyond extended reality (XR) technologies, encompassing digital avatars and shared ecological value. The role of educators in exploring new technologies and leveraging text-mining techniques to enhance learning efficiency is emphasized. The metaverse is presented as a platform for value exchange, necessitating meaningful and valuable content to attract users. Integrating virtual and real-world experiences within the metaverse offers practical applications and contributes to its essence. This paper sheds light on the metaverse's potential to create a learner-centered educational environment and adapt to the evolving landscape of Education 4.0. Its findings, supported by text mining analysis, contribute to understanding the metaverse's role in shaping education in the Fourth Industrial Revolution.

Related papers

• Metaverse Survey & Tutorial: Exploring Key Requirements, Technologies, Standards, Applications, Challenges, and Perspectives [10.16399860867284]
  We present a comprehensive survey of the metaverse, envisioned as a transformative dimension of next-generation Internet technologies. We analyze its architecture by defining key characteristics and requirements, thereby illuminating the nascent reality set to revolutionize digital interactions. We extend our scrutiny to critical technologies integral to the metaverse, including interactive experiences, communication technologies, ubiquitous computing, digital twins, artificial intelligence, and cybersecurity measures.
  arXiv  Detail & Related papers  (2024-05-07T23:49:02Z)
• Should I use metaverse or not? An investigation of university students behavioral intention to use MetaEducation technology [0.14732811715354452]
  The study aims to investigate the relationship between students' intention to use metaverse technologies in education, hereafter referred to as MetaEducation. The authors postulate that the weak associations between the study's constructs may be attributed to limited knowledge regarding MetaEducation.
  arXiv  Detail & Related papers  (2023-11-26T09:45:34Z)
• Beyond Reality: The Pivotal Role of Generative AI in the Metaverse [98.1561456565877]
  This paper offers a comprehensive exploration of how generative AI technologies are shaping the Metaverse. We delve into the applications of text generation models like ChatGPT and GPT-3, which are enhancing conversational interfaces with AI-generated characters. We also examine the potential of 3D model generation technologies like Point-E and Lumirithmic in creating realistic virtual objects.
  arXiv  Detail & Related papers  (2023-07-28T05:44:20Z)
• Towards Ubiquitous Semantic Metaverse: Challenges, Approaches, and Opportunities [68.03971716740823]
  In recent years, ubiquitous semantic Metaverse has been studied to revolutionize immersive cyber-virtual experiences for augmented reality (AR) and virtual reality (VR) users. This survey focuses on the representation and intelligence for the four fundamental system components in ubiquitous Metaverse.
  arXiv  Detail & Related papers  (2023-07-13T11:14:46Z)
• Advances and Challenges in Meta-Learning: A Technical Review [7.149235250835041]
  Meta-learning empowers learning systems with the ability to acquire knowledge from multiple tasks. This review emphasizes its importance in real-world applications where data may be scarce or expensive to obtain.
  arXiv  Detail & Related papers  (2023-07-10T17:32:15Z)
• The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions [33.43134322732266]
  The Metaverse offers a second world beyond reality, where boundaries are non-existent, and possibilities are endless. Many disciplines can benefit from the advancement of the Metaverse when accurately developed. Existing surveys on the Metaverse focus only on a specific aspect and discipline of the Metaverse.
  arXiv  Detail & Related papers  (2023-04-18T18:58:14Z)
• Vision+X: A Survey on Multimodal Learning in the Light of Data [64.03266872103835]
  multimodal machine learning that incorporates data from various sources has become an increasingly popular research area. We analyze the commonness and uniqueness of each data format mainly ranging from vision, audio, text, and motions. We investigate the existing literature on multimodal learning from both the representation learning and downstream application levels.
  arXiv  Detail & Related papers  (2022-10-05T13:14:57Z)
• Advancing Education Through Extended Reality and Internet of Everything Enabled Metaverses: Applications, Challenges, and Open Issues [9.235045678267825]
  The metaverse is an ideal model for education, training, and skill development tasks. We provide a comprehensive review of the various educational use cases and explore how enabling technologies such as Extended reality (XR) and Internet of Everything (IoE) will play a major role in educational services in future metaverses.
  arXiv  Detail & Related papers  (2022-06-27T11:03:56Z)
• A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies,and Challenges [93.06849621984684]
  "The successor to the mobile Internet", the Metaverse has grown in popularity. lite versions of the Metaverse exist today, but they are far from realizing the full vision of an immersive, embodied, and interoperable Metaverse. Without addressing the issues of implementation from the communication and networking, the Metaverse is difficult to succeed the Internet. We discuss the computation challenges and cloud-edge-end computation framework-driven solutions to realize the Metaverse on resource-constrained edge devices.
  arXiv  Detail & Related papers  (2022-03-10T16:48:51Z)
• Artificial Intelligence for the Metaverse: A Survey [66.57225253532748]
  We first deliver a preliminary of AI, including machine learning algorithms and deep learning architectures, and its role in the metaverse. We then convey a comprehensive investigation of AI-based methods concerning six technical aspects that have potentials for the metaverse. Several AI-aided applications, such as healthcare, manufacturing, smart cities, and gaming, are studied to be deployed in the virtual worlds.
  arXiv  Detail & Related papers  (2022-02-15T03:34:56Z)
• Revisiting Meta-Learning as Supervised Learning [69.2067288158133]
  We aim to provide a principled, unifying framework by revisiting and strengthening the connection between meta-learning and traditional supervised learning. By treating pairs of task-specific data sets and target models as (feature, label) samples, we can reduce many meta-learning algorithms to instances of supervised learning. This view not only unifies meta-learning into an intuitive and practical framework but also allows us to transfer insights from supervised learning directly to improve meta-learning.
  arXiv  Detail & Related papers  (2020-02-03T06:13:01Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.