A UML-Driven Framework for Intelligent Collaborative E-Learning

Abstract

The growth of e-learning has introduced significant challenges related to maintaining learner engagement, facilitating effective collaboration, and offering personalized learning paths. Exciting opportunities are presented by artificial intelligence (AI), but its implementation is frequently not based on any solid foundations of pedagogy. This paper addresses this issue by formally describing a pedagogical scenario using the Unified Modeling Language (UML). The UML model not only describes what happened but also suggests a scenario in blueprint format. This framework synergizes human teamwork with a multi-layered substructure of AI-based support, including conversational agents and intelligent tutors. Using class, use, activity, and sequence diagrams, we specify the system's architecture, actors, and their dynamic interactions. The paper proposes that developing a scenario through formal modeling is an important approach that can bridge the gap between pedagogical intentions and technical realization in developing learning environments that are technologically sophisticated and fundamentally based on solid educational principles.