Cloud-Integrated AI Systems for Adaptive Learning Experience Personalization
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Abstract
In recent years, the proliferation of digital technologies and the advent of big data have created an ideal ecosystem for traditional paradigms in education and associated disciplines to be revolutionized. Such a shift has led to the emergence of new approaches that aim to enhance user experience, make better use of educational resources, and create novel systems for education delivery. Despite these advances, however, gaps still remain, particularly in the design of efficient systems that use data generated by multiple sources, including sensors and learning activities, to create and deliver personalized services.
Cloud-integrated artificial intelligence (AI) plays a significant role in learning experience personalization through user modelling. A cloud-integrated AI framework provides tools that enable the development of personalized strategies and algorithms capable of optimizing representation and navigational paths in order to enhance the learning experience. By serving as a hub of user data, the cloud enhances user profiling and supports the deployment of privacy-preserving mechanisms that safeguard information disclosure. The cloud infrastructure also offers education delivery as a service (EDaaS) model, thus lowering the cost of service delivery for both users and universities.
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