AI-Enhanced Educational Motivation in Collaborative Learning Environments

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Authors: Ibrahem Mohammed Abdullah Alamoush
Cited by: 0
References: 44

Abstract

Education is undergoing a profound transformation thanks to artificial intelligence. AI has reshaped collaborative learning. In Arabic language education, AI stands out as a solution to morphological, semantic, and dialectal challenges. Initiatives such as the Sird Scale, the Zay Scale, and the Tal'a and Mubkar tests are pioneering Arabic models that use artificial intelligence for personalization and motivation. Despite these developments, issues of privacy, algorithmic bias, and cultural sensitivity remain central, with the teacher continuing to play a key role as the designer of learning. The future trend confirms that successful smart education is based on a balance between technology and human vision.

Fields of Study & Subjects

Artificial Intelligence in Education Intelligent Tutoring Systems and Adaptive Learning Arabic Language Education Studies

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Pages
71–108
Publication date
6 March 2026
Language
EN
Document type
Book chapter