Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/150246
Title: You can handle, you can teach it: Systematic review on the use of extended reality and artificial intelligence technologies for online higher education
Author: Rangel-de Lázaro, Gizéh  
Duart, Josep M  
Citation: Rangel de Lázaro, G. [Gizéh] & Duart, J.M. [Josep M]. (2023). You Can Handle, You Can Teach It: Systematic Review on the Use of Extended Reality and Artificial Intelligence Technologies for Online Higher Education. Sustainability, 15(4), 1-23. doi: 10.3390/su15043507
Abstract: Over the past year, defined by the COVID-19 pandemic, we have witnessed a boom in applying key emerging technologies in education. In such challenging situations, technology and education expanded their work together to strengthen and interactively impact the learning process in the online higher education context. From a pedagogical perspective, extended reality (XR) and artificial intelligence (AI) were accessible toolboxes to amplify an active and learner-centered teaching method. Whether and how such activities will continue in a post-COVID-19 situation remains unclear. In this systematic literature review, we document the application of XR and AI in online higher education settings and build up an accurate depiction of their influence after the COVID-19 pandemic outbreak. A significant contribution of the thorough analysis conducted was the corroboration of the growing interest of these fast-emerging technologies and their impact on learner agency and outcomes, making online education more accessible, effective, engaging, collaborative, self-paced, and adapted to the diverse academic trajectories. The momentum brought about by the pandemic has served as an impulse for educators and universities to expand the use of these technologies progressively, meet new challenges, and shape the future of online higher education.
Keywords: adaptive learning technologies
immersive learning
emerging technologies
online higher education
DOI: https://doi.org/10.3390/su15043507
Document type: info:eu-repo/semantics/article
Version: info:eu-repo/semantics/publishedVersion
Issue Date: 14-Feb-2023
Publication license: http://creativecommons.org/licenses/by/4.0/es/  
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