The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Personalized Learning in the Digital Era: Unlocking Potential Through AI and Data Analytics
|
|
Author(s): Usharani Bhimavarapu (Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India)
Copyright: 2025
Pages: 24
Source title:
Optimizing Research Techniques and Learning Strategies With Digital Technologies
Source Author(s)/Editor(s): J. Sadhik Basha (International Maritime College Oman, National University of Science and Technology, Oman), Taofeek Olanrewaju Alade (Department of Science Cluster, International Maritime College Oman, National University of Science and Technology, Oman), Mitha Obaid Amur Al Khazimi (Department of Science Cluster, National University of Science and Technology, Oman), Ranjit Vasudevan (Department of Science Cluster, National University of Science and Technology, Oman)and Jahanzeb Bahadur Khan (Department of Science Cluster, National University of Science and Technology, Oman)
DOI: 10.4018/979-8-3693-7863-2.ch007
Purchase
|
Abstract
Learning strategies with digital technologies have revolutionized educational practices, offering new opportunities for personalized, adaptive, and engaging learning experiences. The integration of digital tools, such as Artificial Intelligence (AI), machine learning, and digital platforms, enables educators to tailor learning strategies to individual student needs, promoting more effective and efficient learning. This study explores the potential of digital technologies in enhancing learning strategies, focusing on the role of Artificial Neural Networks (ANNs) in personalizing learning pathways for students. By leveraging data such as student performance, learning styles, and engagement, digital technologies can create adaptive learning environments that continuously evolve based on real-time feedback. The study investigates how these technologies can improve learner outcomes by providing targeted support, personalized content delivery, and dynamic feedback mechanisms.
Related Content
|
William Chakabwata, Veronica McKay.
© 2026.
28 pages.
|
|
Orlando M. Saiz.
© 2026.
30 pages.
|
|
Pratham Prakash Parekh.
© 2026.
34 pages.
|
|
Mustafa Kayyali.
© 2026.
30 pages.
|
|
Tricia J. Stewart, Nicole DeRonck, Samantha Tisi.
© 2026.
26 pages.
|
|
Thalia Mulvihill.
© 2026.
20 pages.
|
|
Alan Swiercz, Melissa Mesek.
© 2026.
30 pages.
|
|
|