2026-05-30T17:00:54Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/83702025-09-04T22:42:14Zcom_10259_4219com_10259_5086com_10259_2604col_10259_7349

2024-01-17T11:48:27Z urn:hdl:10259/8370 A Framework for Developing Multi-user Immersive Virtual Reality Learning Environments Checa Cruz, David Rodríguez García, Bruno Guillén Sanz, Henar Miguel Alonso, Inés Virtual reality Learning Multi-user Framework Multi-user immersive Virtual Reality (iVR) environments have gained attention for their potential to facilitate collaborative learning experiences. These environments offer ideal settings for social interaction, collaborative learning, and experiential learning. However, the development of these immersive environments can be time-consuming, and existing options often have limitations that hinder widespread adoption in educational settings. The framework aims to address these challenges by providing a structured approach to design and development multi-user immersive virtual reality environments. The proposed framework integrates key components such as user interaction, data tracking, and visualization functionalities, with a focus on enhancing learning outcomes and promoting collaborative experiences. Through the utilization of the framework, developers can create interactive iVR learning environments that facilitate meaningful engagement and knowledge acquisition. To illustrate its functionality, a case study is presented, showcasing a multi-user virtual reconstruction of San Juan de Arce, La Rioja (Spain) for cultural heritage learning. The results demonstrate the potential of the framework in creating engaging and educational experiences while reducing dependence on external tools. Future research directions emphasize the continuous improvement and adaptability of the framework to meet diverse educational needs. 2024-01-17T11:48:27Z 2024-01-17T11:48:27Z 2023-09-05 info:eu-repo/semantics/conferenceObject 0302-9743 http://hdl.handle.net/10259/8370 10.1007/978-3-031-43401-3_6 1611-3349 eng Extended Reality. 2023, V. 14218, p. 89-103 https://doi.org/10.1007/978-3-031-43401-3_6 info:eu-repo/semantics/openAccess Springer Nature