The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Navigating the Personalization Pathway: Implementing Adaptive Learning Technologies in Higher Education
Abstract
This chapter delves into the revolutionary potential of adaptive learning technologies (ALTs) within the realm of higher education, with a particular focus on their ability to tailor growth opportunities to diverse student needs. Against the backdrop of evolving higher education landscapes characterised by technological advancements and shifting student demographics, ALTs emerge as crucial enablers of flexible, student-centered learning environments. The discussion explores the fundamental principles of adaptive learning, encompassing key concepts, theories, and the theoretical foundations that underpin these technologies, such as constructivism and cognitive load theory. Readers will gain insights into the current adaptive learning landscape, including a survey of existing platforms and the significant roles played by artificial intelligence and machine learning. The section also addresses the challenges associated with ALT adoption, ranging from technical and academic barriers to ethical considerations such as data privacy and equity issues.
Related Content
|
Wan Zuhainis Saad, Nor Aziah Alias, Chou Min Chong, Suriana Sabri.
© 2026.
26 pages.
|
|
V. Krishnamoorthy, Nishant Bhuvanesh Trivedi, Ratan Sarkar, Ranjeeta Saini, Archudha Arjunasamy.
© 2026.
30 pages.
|
|
Prasanna Ramakrisnan, Mohd Farhan Shah Ahmad Rusli, Mike Soon Tai Gan Hou.
© 2026.
18 pages.
|
|
Rippandeep Kaur, Ratan Sarkar, M. Lalitha, Saurabh Chandra, Taruna Anand.
© 2026.
30 pages.
|
|
M. Dhanasekar, Rijuta Prashant Joshi, R. Somasundaram, Kavya D. N., Uma Patil, Subhi Boopa.
© 2026.
28 pages.
|
|
Billur Köfter, Canan Koçak Altundağ, Ayşem Seda Yücel.
© 2026.
38 pages.
|
|
Nazurah Nik-Eezammuddeen, Najwa Baharudin.
© 2026.
34 pages.
|
|
|