Authors:
Meeta Joshi, Zijun Shen, Shakila Kausar

Addresses:
1Department of Management Studies, Marwadi University, Rajkot, Gujarat, India. 2Department of Foreign Languages, Sichuan University of Media and Communications, Sichuan, Chengdu, China. 3Department of Speech and Language Pathology, Riphah International University, Islamabad, Pakistan. meeta.joshi@marwadieducation.edu.in1, prof.shen_zijun@whu.edu.cn2, shakilakausar5@outlook.com3 

Abstract:

This research, guided by a deliberately diverse and inclusive approach, examines the impact of Artificial Intelligence (AI) on inclusive education. The study encompasses a sample size of 47 participants from various backgrounds and possessing various characteristics, ensuring a comprehensive representation of experiences and perspectives. This diverse group of students exhibits a range of learning needs, including conditions such as autism spectrum disorders, dyslexia, attention deficit hyperactivity disorder (ADHD), and physical disabilities. The research explores the role of AI in addressing the unique requirements of these students, Educators, and Specialists, with preliminary findings indicating that AI technologies significantly enhance the learning experience, offering personalized content recommendations, real-time feedback, and adaptive learning platforms. The study emphasizes the ongoing need for advancements in AI for special education, including algorithm refinement, specialized tools, and ethical considerations. It also underscores the importance of establishing best practices and policy frameworks to promote inclusive education through AI integration, focusing on addressing the diverse learning needs of students from various backgrounds and age groups.

Keywords: Adaptive Learning, Comparative Evaluation, Diverse Learning Needs, Inclusive Education, Transformative Potential; Personalized Support and Accessibility; Artificial Intelligence Technologies.

Received on: 29/01/2023, Revised on: 02/04/2023, Accepted on: 15/06/2023, Published on: 01/12/2023

FMDB Transactions on Sustainable Techno Learning, 2023 Vol. 1 No. 3, Pages: 125-142

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