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Teaching Graph Theory often faces pedagogical challenges, primarily because it requires a high level of abstraction to understand the dynamic behavior of algorithms. This paper presents the evolution of the Application Project for Teaching Support in Graph Theory (PAAD-Grafos), an educational platform focused on the synchronous visualization of graph algorithms. The main contribution of this work lies in the development of an animation engine that transforms logical states into visual events, synchronizing the visual highlighting of pseudocode instructions with the dynamic updating of the graph topology and auxiliary structures at runtime. The architecture, developed within a modular and responsive Web ecosystem, provides multi-platform access and facilitates the institutionalization of the resource. Validated based on Nielsen's ten Usability Heuristics, the tool demonstrated its capacity to reduce cognitive load and provide students with greater control over their learning.
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