Author
Abstract
Artificial Intelligence (AI) is revolutionizing education in the digital age, offering tools and systems that transform traditional teaching and learning methods. This paper explores the multifaceted role of AI in enhancing education through personalized learning, intelligent tutoring, and data-driven insights, while also addressing the challenges and ethical considerations inherent in these technologies. A story blend and an orderly writing audit were conducted in this article. The writing and data were gotten from different books and investigate articles on EBSCO, Google Researcher, Scopus, Web of Science, and ScienceDirect. Furthermore, to enhance AI decision making capability, we used speed networking and narrative boards to gather feedback from 20 students and 30 educators of AI systems in distance learning. According to the findings, while using AI systems in distance learning can promote customized learner-instructor collaboration on a large scale, it also has the risk of violating social norms, as participants observed. Concerns have been raised about accountability, authority, and monitoring issues, despite the fact that AI systems have been praised for increasing feedback volume and quality, providing immediate, tailored support for large-scale settings, and improving interaction. These outcomes must be taken into account when developing AI systems to ensure simplicity, human involvement, and comprehensive data collection and presentation. The work contributes to illustrating an educational framework found in specialized sources, creating a model unique to our college’s learning program, and emphasizing the idea that artificial intelligence (AI) improves human efforts in education by maximizing efficiency rather than replacing innovative teaching faculty members who are critical to the learning process and assisting students in achieving outstanding academic achievement.
Suggested Citation
Ayush Kumar Singh & M. K. Kiriti & Himanshi Singh & Abhishek Shrivastava, 2025.
"Education AI: exploring the impact of artificial intelligence on education in the digital age,"
International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 16(4), pages 1424-1437, April.
Handle:
RePEc:spr:ijsaem:v:16:y:2025:i:4:d:10.1007_s13198-025-02755-y
DOI: 10.1007/s13198-025-02755-y
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:16:y:2025:i:4:d:10.1007_s13198-025-02755-y. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.