AI-Driven Process Optimization in Educational Systems

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Authors: Omnia Saidani Neffati
Cited by: 0
References: 28

Abstract

AI is changing the educational environment by allowing the data-based optimization of essential learning and administrative processes. Priorities have focused on personalized learning and intelligent tutoring systems, but the ongoing potential for AI for process optimization continues to be underexplored, yet, in the literature. This chapter examines the potential of AI technologies to facilitate multiple educational processes, such as content delivery, assessment management, student support, and institutional strategic planning in ways that optimize efficiency, responsiveness and adaptability. This chapter offers a structured overview of how AI can be implemented to improve decision-making, automate routine educational workflows, and dynamically adapt learning paths. By introducing real-world examples and analytical modes of thinking, this chapter provides educators, researchers, and institutional authorities with examples of strategies to consider when planning to intentionally and responsibly implement AI adoption for instructional processes.

Fields of Study & Subjects

Artificial Intelligence in Education Artificial Intelligence in Healthcare and Education Artificial Intelligence Applications

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Pages
39–56
Publication date
11 February 2026
Language
EN
Document type
Book chapter