EconPapers    
Economics at your fingertips  
 

Advancing Education: Emerging Tools for Distributed Learning

Dr Patrick Zingisa Msekelwa ()

Journal of Interdisciplinary Social Sciences Review ISSN: 3078-8358, 2024, vol. 1, issue 1, 25-40

Abstract: The rapid evolution of technology has transformed traditional educational paradigms, giving rise to distributed learning models that transcend geographical and temporal boundaries. This study explores the emerging tools and technologies driving the advancement of distributed learning, focusing on their application, benefits, and challenges in contemporary education. Key innovations such as artificial intelligence (AI), virtual reality (VR), cloud-based platforms, and adaptive learning systems are examined for their role in enhancing learner engagement, personalization, and accessibility. The article also highlights the implications of these technologies for educators, institutions, and policymakers in designing effective and inclusive learning environments. By analyzing current trends and future prospects, this research aims to provide a comprehensive framework for leveraging technological advancements to foster equitable and high-quality education for all.

Keywords: Distributed Learning; Emerging Educational Technologies; Artificial Intelligence in Education; Virtual Reality for Learning; Adaptive Learning Systems (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://newjaigs.org/index.php/JISSR/article/view/272 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gnz:joissr:v:1:y:2024:i:1:p:25-40:id:272

Access Statistics for this article

Journal of Interdisciplinary Social Sciences Review ISSN: 3078-8358 is currently edited by Tran Tin Nghi

More articles in Journal of Interdisciplinary Social Sciences Review ISSN: 3078-8358 from open knowledge
Bibliographic data for series maintained by Open Knowledge ().

 
Page updated 2025-08-23
Handle: RePEc:gnz:joissr:v:1:y:2024:i:1:p:25-40:id:272