The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Artificial Intelligence and Student Engagement: Drivers and Consequences
Author(s): Partap Singh (Lovely Professional University, India)
Copyright: 2025
Pages: 32
EISBN13: 9798337319292
Purchase
View Sample PDF
Abstract
Artificial Intelligence (AI) is revolutionizing education by significantly enhancing student engagement. This study examined the impact of AI-driven technologies, such as personalized learning algorithms, intelligent tutoring systems, and AI chatbots on student learning experiences in a postsecondary undergraduate and graduate education setting. Key findings reveal that AI improves engagement through personalization, timely feedback, and interactive learning environments. AI's adaptive capabilities, which tailor content to individual needs, play a major role in fostering deeper student involvement. However, challenges such as data privacy, ethical concerns, and the need for equitable access to technology remain prevalent. This study underscores AI's transformative potential while recognizing the complexities of its ethical and practical implementation in educational contexts.
Related Content
|
Jaclyn Murawska, Li Sun.
© 2025.
30 pages.
|
|
Peter Neema-Abooki, Irene Bisirikirwa.
© 2015.
18 pages.
|
|
Daniel Stafford, Robert Flatley.
© 2014.
17 pages.
|
|
Cory Cooper Hansen.
© 2012.
6 pages.
|
|
Tara Bennett, Florence Martin.
© 2013.
16 pages.
|
|
|