AI-Driven Process Optimization in Educational Systems
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