IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Intelligent Curricula: Personalizing Learning With Artificial Intelligence and Developing Transformative Skills

Intelligent Curricula: Personalizing Learning With Artificial Intelligence and Developing Transformative Skills
View Sample PDF
Author(s): Abílio Lourenço (University of Minho, Portugal)and Sabina Valente (Polytechnic Institute of Portalegre, Portugal)
Copyright: 2026
Pages: 36
Source title: Intelligent Learning Tools, Enhancing Student Skills, and Career Preparedness
Source Author(s)/Editor(s): Reda Mohamed Said Abdelaal (Helwan University, Egypt)and Mustafa Kayyali (Maaref University of Applied Sciences, Syria)
DOI: 10.4018/979-8-3373-9225-7.ch003

Purchase


Abstract

This chapter explores how artificial intelligence can transform curriculum design by personalising learning and supporting the development of essential 21st-century skills. Integrating artificial intelligence into curricula enables adaptive learning environments that respond to individual student needs, promoting equity and improving educational outcomes. The chapter begins by contextualising the growing role of artificial intelligence in education and examining current opportunities and challenges for educators and institutions. It then discusses personalised learning mechanisms, offering examples of how generative artificial intelligence can enhance the student experience. The second section focuses on developing key skills such as critical thinking, collaboration, and digital literacy, showing how they can be integrated into the curriculum with the support of artificial intelligence. Ethical and inclusion issues are also considered to ensure fair and accessible implementation.

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.
Body Bottom