Agentic artificial intelligence in higher education: A research study on applications, protocols, and academic traceability
Keywords:
agentic artificial intelligence, higher education, evidence traceability, academic protocolsSynopsis
Agentic Artificial Intelligence in Higher Education: A Research Study on Applications, Protocols, and Academic Traceability analyzes how agentic AI can support university processes without replacing human intelligence, student authorship, or faculty responsibility. Its main purpose is to explain what agentic AI is, distinguish it from generative AI, chatbots, assistants, and copilots, and propose criteria for its responsible use in higher education.
The book presents agentic AI as a support architecture capable of organizing complex academic tasks, such as designing learning activities, supporting students, assisting research, reviewing evidence, generating feedback, and strengthening academic traceability. Its approach is best understood as applied and procedural research, because it develops routes, protocols, and implementation criteria rather than an empirical validation based on field data.
Across its seven chapters, the book addresses the definition of agentic AI, its use in teaching and learning, academic research, university protocols, course tutoring, rubric-based assessment, and the management of learning evidence. Its central argument is that agentic AI has educational value when it improves understanding, documents processes, respects authorship, enables human supervision, and strengthens academic quality.
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