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Integrating Agentic AI in Education

Integrating Agentic AI in Education

Dr. Mahmoud Al Khasawneh From Different Corners

Through the past several years artificial intelligence has become a standard part of educational environments. Educational institutions now use automated grading systems and plagiarism detection tools and grammar checking software as standard assessment practices.

 

The introduction of new technological systems has created a fundamental issue that requires resolution because it has resulted in two specific problems. According to Gera (2025), educational institutions have implemented multiple AI tools which function independently from each other and create operational challenges that lead to redundant tasks and make staff members question how well automated systems function. Educational institutions have not yet achieved their goal of creating a completely intelligent system that can provide instant feedback. The development of agentic artificial intelligence in 2025 presents a strong solution which will enable us to establish a unified educational system that functions as a single cohesive entity.

 

The present situation of artificial intelligence within educational institutions functions through multiple separate software programs which each serve one specific purpose. A student uses Grammarly to evaluate their writing while the instructor uses Turnitin to detect instances of plagiarism. The learning management system (LMS) tracks grades, but it doesn’t communicate with the library’s database to suggest relevant research materials. The system requires multiple tools to function independently which results in excessive work for educators and students (Gera, 2025). System coordination deficiencies create a situation where educational workflow remains fragmented despite individual task optimization. The fragmentation problem exists because AI technology cannot function across different platforms which students need in modern educational settings.

 

Agentic AI marks a complete transformation of AI systems from assistive functions to self-sufficient operational modes. An AI agent operates as a goal-oriented system which can navigate different environments to accomplish its main mission unlike standard AI features which operate through predefined functions. The system functions as an active digital partner instead of waiting for user commands like a standard virtual assistant. A tool assists you with your task while an agent executes your task without needing your input according to the fundamental difference between both elements.

 

The AI agent performs its mission by helping students achieve their educational goals. The system can detect students who need assistance by analyzing LMS data, which then helps it create a customized review plan based on their attendance records from the Student Information System (SIS). The system will give the teacher a progress update after which it will set up a tutoring session through the university schedule system while it monitors the student’s upcoming work and changes its suggestions according to the student’s needs (Gera, 2025). The agent controls the complete multi-step system which operates across different platforms to create a unified system that delivers early intervention through its ability to connect separate data points.

 

The first statement demonstrates that agentic AI systems possess their fundamental strength through their capacity to manage intricate operational processes. New communication protocols enable different systems and different agents to exchange information while maintaining shared understanding and synchronized operations (Gera, 2025). The system creates a unified ecosystem which automates administrative work and decreases teacher demands while it enables personalized learning at an extensive level. Educational applications are being developed for all educational levels which include K-12 systems that monitor student progress and provide updates to parents and higher education systems that track student academic progress and suggest different educational options (Gera, 2025).

 

The process of integration faces various obstacles that must be overcome. The development of completely autonomous agents requires extensive advancement in two essential domains which include contextual comprehension and management of unforeseen events (Ravaglia, 2024). The implementation of these systems creates important ethical problems which include learner autonomy and data security and unbiased treatment matters (Sargsyan, 2025; Artsın & Bozkurt, 2025). Institutions need to develop solutions which tackle both social and technical barriers to implement agentic AI in an ethical and practical way.

 

Experts predict that that AI agents will dominate the conversation in education (Ravaglia, 2024). Current research studies AI learning support capabilities before researchers begin to create operational models which will produce measurable results across various systems (Gera, 2025). Agentic AI demonstrates its ability to solve the fragmentation problem through its development of intelligent workflows which link together different tools. The system enables educational institutions to create a complete learning experience which adapts to each student's needs by integrating all AI functions into a single educational platform.

 

References

  • Gera, R. R. (2025, September 5). Agentic AI for education: Connecting tools, systems, and outcomes. EdTech Digest. Accessed from: https://www.edtechdigest.com/2025/09/05/agentic-ai-for-education-connecting-tools-systems-and-outcomes/
  • Ravaglia, R. (2024). AI agents will shape every aspect of education in 2025. Accessed from: Forbes. Accessed from: https://www.forbes.com/sites/rayravaglia/2024/12/26/ai-agents-will-shape-every-aspect-of-education-in-2025/
  • Sargsyan, L. (2025). Integrating agentic AI in higher education: Balancing opportunities, challenges, and ethical imperatives. Foreign Languages in Higher Education, 29(1), 87-100.
  • Artsın, M., & Bozkurt, A. (2025). Charting new horizons: What agentic artificial intelligence (AI) promises in the educational landscape. EDULEARN25 Proceedings. https://library.iated.org/view/ARTSIN2025CHA