Digital Education Revolution: Navigating the Challenges of AI Integration in Developing Nations

EasyChair Preprint 11436

Abstract

The rapid advancement of artificial intelligence (AI) has sparked discussions about its potential role in revolutionizing education, particularly in developing nations facing unique challenges in their educational systems. This article critically examines the prospects and challenges associated with integrating AI into lower levels of education in developing countries. This paper explores the potential benefits, such as increased access to quality education, personalized learning experiences, and teacher support. However, this paper also delves into the multifaceted challenges, including limited infrastructure, concerns about equity, the scarcity of expertise, and ethical considerations surrounding data privacy. By navigating these challenges, aim to shed light on the complexities of implementing AI in education within the context of developing nations, providing insights for policymakers, educators, and stakeholders interested in fostering a balanced and inclusive digital education revolution. The abstract delves into the inherent challenges faced by developing nations in adopting AI-driven educational initiatives. It scrutinizes the hurdles related to infrastructure limitations, access to technology, and the digital divide. Additionally, it addresses concerns regarding equity, privacy, and ethical considerations pertinent to the deployment of AI in diverse educational settings

Keyphrases: AI, Education, M:

@booklet{EasyChair:11436,
  author    = {Lee Kasowaki and Zilly Huma},
  title     = {Digital Education Revolution: Navigating the Challenges of AI Integration in Developing Nations},
  howpublished = {EasyChair Preprint 11436},
  year      = {EasyChair, 2023}}