School of Computer Science & ICT

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Browsing School of Computer Science & ICT by Subject "AI-driven analytics"

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    Enabling Personalized Learning and Adaptive Systems Through Strategic Management: Cloud Integration in Education
    (IGI-Global, 2025) Jesu Arockia, Venice
    The integration of cloud technology is transforming the educational landscape by facilitating personalized learning and adaptive systems. This chapter examines successful case studies showcasing the impact of cloud-based solutions, including Learning Management Systems (LMS), AI-driven analytics, and collaborative tools on educational outcomes. Notable examples include Khan Academy's extensive resource offerings, DreamBox Learning's adaptive learning engine, Purdue University's use of predictive analytics, and the global learning platform developed by Minerva Schools. While challenges such as data privacy concerns and the digital divide persist, these initiatives highlight how cloud technology can create customized learning experiences and equip educators with valuable insights. Looking ahead, emerging trends in artificial intelligence, virtual reality, global collaboration, and blockchain technology are poised to further enhance personalized and inclusive educational practices.