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Article . 2024
License: CC BY
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International Journal of Management and Humanities
Article . 2024 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.2139/ssrn.4...
Article . 2024 . Peer-reviewed
Data sources: Crossref
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Leveraging AI to Transform Online Higher Education: Focusing on Personalized Learning, Assessment, and Student Engagement

Authors: Dr. Abhay Bhatia; Pankhuri Bhatia; Devendra Sood;

Leveraging AI to Transform Online Higher Education: Focusing on Personalized Learning, Assessment, and Student Engagement

Abstract

The proliferation of online higher education has underscored the need for innovative approaches to enhance student learning, engagement, and success. This paper explores the transformative potential of artificial intelligence (AI) in revolutionizing online education. By focusing on personalized learning, AI-driven assessment, and student engagement, this research investigates how AI technologies can create tailored educational experiences, optimize learning outcomes, and foster a dynamic online learning environment. The study delves into the implementation of AI-powered tools, such as intelligent tutoring systems, adaptive learning platforms, and predictive analytics, to address individual student needs, provide timely feedback, and promote active participation. Through a comprehensive analysis of the existing literature and emerging trends, this paper aims to identify key challenges, opportunities, and best practices for leveraging AI to optimize online higher education, ultimately contributing to improved student satisfaction, retention, and academic achievement.

Keywords

Artificial Intelligence, Assessment, Higher Education, Student Engagement, Personalized Learning, Online Education

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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