A Systematic Comparative Analysis of Influence of Artificial Intelligence (AI with DS) in Developing Smart Learning System

As the day dawns for each technology to penetrate its way to various sectors, higher education seems to be the first field at the leeway of integration, especially with Artificial Intelligence (AI) coming to play. This paper discusses the interacting dynamics of AI and higher education infrastructure with a focus on the most impacted areas of learning spaces. It explores the manner in which AI would influence the design and use of smart learning spaces, including the effectiveness within higher education institutions. AI integration into higher learning infrastructure sees a paradigm shift on a large scale, where traditional learning environments turn into dynamic and adaptive spaces. It is in this paper that we bring out and discuss in great detail the multifaceted roles that AI plays in shaping smart learning spaces. It uses AI-driven technologies, for example, machine learning algorithms, natural language processing, and intelligent tutoring systems, to enable tailormade and participative learning experiences. In addition, this paper discusses the influence of AI on the architecture and planning of learning spaces. Analyses with AI give valuable information on how spatial layouts, environmental factors, and even furniture settings may be changed to let student engagement, collaboration, and knowledge retention reach its full potential. Further, AI-based monitoring systems are adaptive enough to follow changes in learning behavior in real time, thus empowering teachers to be adaptive by redesigning pedagogy and the learning experience according to individual students’ needs and interests.