Year: 2024
Type: article
Abstract: The integration of artificial intelligence (AI) in higher education is transforming traditional learning frameworks, presenting unprecedented opportunities for personalized, efficient, and inclusive education. This paper explores the ways AI technologies, including machine learning algorithms, natural language processing, and intelligent tutoring systems, are reshaping educational methodologies and environments in higher education. By examining AI-driven applications such as adaptive learning platforms, automated assessment tools, and virtual teaching assistants, this study highlights how AI enhances student engagement, facilitates tailored learning experiences, and streamlines administrative tasks. Furthermore, this paper addresses the ethical considerations, challenges, and potential biases associated with AI implementation, emphasizing the need for transparent, equitable practices to optimize AI's positive impact on learning. Ultimately, this research underscores AI's transformative potential in making higher education more accessible and adaptive to diverse learner needs, setting the stage for a future of AI-empowered, data-driven education. This study utilizes a comprehensive literature review and case studies to demonstrate the potential and challenges of AI implementation, highlighting ethical considerations, data privacy, and the need for policy frameworks to support responsible AI usage. By addressing these multifaceted aspects, this research emphasizes the strategic role of AI in shaping the future of higher education.
Authors: Anil Chandra Borah -, Pratibha Borah -
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4405622533