Extended reality in the digital age: A literature review on technology-driven learning environments

This literature review explores the transformative potential of Extended Reality (XR) - encompassing Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) - when integrated with Artificial Intelligence (AI) and multimodal interfaces in learning environments for extended education. Through a systematic analysis of 72 peer-reviewed studies (2014–2024), the review identifies five main application areas: professional training, STEM education, soft skills development, general education, and assessment; as well as four pedagogical goals aimed at enhancing learning outcomes, increasing engagement and motivation, ensuring accessibility and safety, and fostering 21st-century skills. The findings indicate that XR technologies offer significant benefits, with moderate to high effects on educational outcomes, particularly in experiential contexts. However, their effectiveness is not intrinsic but critically depends on thoughtful pedagogical design, as uncalibrated immersion may increase cognitive load. The review also highlights key challenges such as methodological standardization, geographical disparities in research, the lack of longitudinal studies, and ethical concerns regarding privacy and algorithmic bias. It concludes that fully realizing the potential of XR requires an interdisciplinary and human-centered approach that prioritizes pedagogical integration over technology-driven innovation alone, while simultaneously promoting equity, inclusivity, and an ethical and sustainable adoption. The rapid advancement of Extended Reality (XR), Artificial Intelligence (AI), and Big Data technologies is transforming learning environments, enabling the creation of immersive, personalized, and data-driven educational contexts beyond traditional classrooms. These innovations play a crucial role in supporting lifelong and extended education, a need made even more urgent by the COVID-19 pandemic, which accelerated the search for more effective and engaging distance learning tools. This literature review aims to synthesize research conducted between 2014 and 2024 on technology-enhanced learning environments, with a specific focus on how XR, AI, and Big Data strengthen extended education. The goal is to identify the pedagogical opportunities and challenges associated with their integration, categorize the most advanced applications, and assess their level of maturity and adoption in academic and professional contexts. A systematic review was conducted following PRISMA guidelines, querying academic databases such as Scopus, IEEE Xplore, and ScienceDirect. The search included peer-reviewed articles published in English between 2014 and 2024, focusing on applications of AR, VR, AI, and Big Data in extended education contexts. Specific inclusion and exclusion criteria were applied, and the results were analyzed through a qualitative thematic analysis. The findings highlight that XR technologies foster immersive and experiential learning, particularly in fields such as medicine, engineering, and professional training. AI enables adaptive and personalized instruction, while Big Data supports evidence-based decision-making processes. However, significant challenges emerge, including cognitive load, equitable access, teacher preparedness, and ethical issues such as privacy and algorithmic bias. The integration of XR, AI, and Big Data offers transformative opportunities to make learning more flexible, engaging, and personalized. Effective implementation requires addressing pedagogical, technical, and ethical barriers by promoting inclusive design, ensuring privacy safeguards, and providing adequate teacher training. Future research should focus on longitudinal studies, scalability, and regulatory frameworks to enable sustainable and equitable adoption. • Systematic Review: Systematic review of 72 studies (2014–2024) on XR in technology-enhanced learning. • Application Areas: Five XR application areas identified: training, STEM, soft skills, education, and assessment. • Pedagogical Goals: Four pedagogical goals: improved learning, engagement, accessibility/safety, and 21st-century skills. • Challenges & Equity: Key challenges include interoperability, teacher readiness, ethics, and global research disparities. • Future Directions: Future work should adopt human-centered, interdisciplinary XR approaches with equity and ethical focus.