Exploring the Integration of Generative AI in Modern Education Systems: A Comprehensive Analysis

This paper aims at filling this gap through dissecting the applicability of the Generative AI in the current learning and teaching system. The paper offers an introduction to Generative AI technologies: GPT and DALL-E, and describes the chronological history and current progress of its educational applications. Other objectives include discussing about the uses of Generative AI in adaptive learning environment, smart learning systems, automation of organizational work and in talented minds improvement. Analyzing key successful AI cases, the paper reveals the challenges implementers encountered, and provides debates about the appropriate practices of AI. Research evidence points to the prospect of Generative AI benefiting students and educators in teaching and learning, which indicates the innovative potential of the technology, yet at the same time reveals the potential risks and challenges that need to be addressed concerning the ethical and privacy implications of Generative AI in education. Others may follow general recommendations for policymakers and educators on how to integrate artificial intelligence responsibly, as well as future work for this quickly burgeoning domain.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/icaiqsa64000.2024.10882259
Citations
3
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
1.24
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article

Exploring the Integration of Generative AI in Modern Education Systems: A Comprehensive Analysis

Avick Kumar Dey, Ananya Sarkar, Pradeep Kumar Singh, Vineet Chauhan
3 citations
Online Learning and Analytics
1.24
article

Exploring the Integration of Generative AI in Modern Education Systems: A Comprehensive Analysis

Avick Kumar Dey, Ananya Sarkar, Pradeep Kumar Singh, Vineet Chauhan
article en
3 citations

Abstract

This paper aims at filling this gap through dissecting the applicability of the Generative AI in the current learning and teaching system. The paper offers an introduction to Generative AI technologies: GPT and DALL-E, and describes the chronological history and current progress of its educational applications. Other objectives include discussing about the uses of Generative AI in adaptive learning environment, smart learning systems, automation of organizational work and in talented minds improvement. Analyzing key successful AI cases, the paper reveals the challenges implementers encountered, and provides debates about the appropriate practices of AI. Research evidence points to the prospect of Generative AI benefiting students and educators in teaching and learning, which indicates the innovative potential of the technology, yet at the same time reveals the potential risks and challenges that need to be addressed concerning the ethical and privacy implications of Generative AI in education. Others may follow general recommendations for policymakers and educators on how to integrate artificial intelligence responsibly, as well as future work for this quickly burgeoning domain.

Galgotias University (IN), National Institute of Technology Durgapur (IN), College of Tourism (BG), DSMS Group of Institutions (IN)
Quality Education
Openalex Percentile: Top 13%
Online Learning and Analytics
1.24
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