DESIGNING AI SYSTEMS FOR PERSONALIZED LEARNING
Faculty
Department
Year of Publication
Keyword
Publication Type
Abstract
This research examines the implementation process of AI-driven personalized learning systems, focusing on technical architecture, testing methodologies, and usability evaluation. The study identifies critical success factors including specialized implementation tools, comprehensive testing strategies, and multidimensional assessment frameworks. Findings emphasize the balance etween technical sophistication and pedagogical effectiveness while addressing concerns of scalability, accessibility, and cross-platform compatibility. This work provides essential insights for educational technologists and administrators seeking to leverage AI capabilities to create more equitable, engaging, and effective personalized learning experiences.
Supervisor(s)
co-supervisor