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

AI Driven Games and Applications: A Way Forward in Fashion Design Education

AI Driven Games and Applications: A Way Forward in Fashion Design Education
View Sample PDF
Author(s): Zainab Shafaat (Punjab Tianjin University of Technology, Lahore, Pakistan), Muhammad Farooq (Superior University, Lahore, Pakistan), Abdul Khaliq Alvi (Lahore Garrison University, Lahore, Pakistan)and Muhammad Waseem Iqbal (Superior University, Lahore, Pakistan)
Copyright: 2026
Pages: 58
Source title: AI-Powered Educational Games and Simulations
Source Author(s)/Editor(s): Saima Munawar (Department of Computer Science and Information Technology, Virtual University of Pakistan, Pakistan)and Nasir Naveed (Department of Computer Science and Information Technology, Virtual University of Pakistan, Pakistan)
DOI: 10.4018/979-8-3373-0035-1.ch007

Purchase

View AI Driven Games and Applications: A Way Forward in Fashion Design Education on the publisher's website for pricing and purchasing information.

Abstract

This chapter investigates the role of AI-powered games and applications in transforming education in the field of fashion design, focusing on ideation, design process, and promotion. Unlike conventional approaches, AI-based games and applications offer adaptive, real-time feedback and customized content tailored to individual user's needs, making learning more effective. In addition to games, there are numerous artificial intelligence-based applications that help users understand fashion and design trends. This research seeks to assess the effectiveness of fashion-designing mobile applications in developing new research ideas for students, teachers, and fashion designer experts. The research will consider assessing leading mobile applications in the field of fashion design, determining their shortcomings in aiding student research, and proposing a new artificial intelligence application layout based on human-centric design principles.

Related Content

Saima Munawar, Nasir Naveed, Munazza Munawar. © 2026. 16 pages.
Arif Husen, Neelam Alam, Muhammad Hasanain Chaudary, Shabib Aftab, Syed Shah Muhammad. © 2026. 52 pages.
Khubaib Khawar, Saima Munawar, Nasir Naveed. © 2026. 48 pages.
Merve Göçer, Fatma Merve Mustafaoğlu, Fatma Alkan. © 2026. 42 pages.
Dalize Van Heerden, Leila Goosen. © 2026. 30 pages.
N. Kalaivani, Mahesh Ashok Mahant, Bharathi S.N, Rani Ramrao Patil, S. Lakshmi. © 2026. 26 pages.
Zainab Shafaat, Muhammad Farooq, Abdul Khaliq Alvi, Muhammad Waseem Iqbal. © 2026. 58 pages.
Body Bottom