An Intelligent Virtual Teaching Agent to Accelerate Researcher Learning in Smart City Ecosystems
Year: 2025
Type: article
Abstract: The AI Virtual Teacher is a smart digital assistant that aims to contribute positively to the future of education through artificial intelligence. It uses intelligent Large Language Models (LLMs) to imitate the responsibilities of a human teacher in an easy-to-use way. They offer an interactive, personalized learning experience. The AI agent can review and understand different types of educational content -- text documents, PDF's, and Word files -- and pull out relevant content automatically to build meaningful structured lectures that are meaningful and understandable. This platform includes an interactive question and answer delivery system, where students can ask questions in a natural language and receive answers that are contextualized and accurate. Conventional digital learning platforms rely on static and fixed content for learning and provide conversation only in the form of keyword-based FAQ's when students have questions. The AI agent offers the potential to provide a real time learning experience using state of the art natural language processing (NLP) capabilities that simulate the teacher-student experience that promotes learning in an engaging way. The system will be simple for learners to use, scalable, and available 24/7 academic support to learners. While the rise of remote learning, intelligent tutoring systems represent a significant area of research in educational technology. This project represents a viable, effective and intelligent system to extend learners experiences using not only automated content generation and question answering, but offering the construction of an intelligent system to support many subjects and learners.
Authors: S.A.Karthik, M.Mohammed Riyaf Ali, Dr.T.Ananthkumar, Dr.P.Kanimozhi, Sunday Adeola AJAGBE, M.Martina Jose Mary
Institution: University of Zululand
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4410823908