The phenomenon of Internet has brought a wide range of communication possibilities and thus a rapid growth of digitized information. Each day the user is overwhelmed with the vast information obtained during the search process, which can hardly identify those that have greater relevance to their information need With the aim of facing this problem, an authoring tool of adaptive hypermedia system, oriented toward the personalization of readings plans in a learning environment, was developed with a view to assessing its effectiveness and the user's satisfaction vis-à-vis the proposed adaptation algorithm. This application is based on clustering algorithms and adaptation rules to adjust the user's model to contents and objects of study. Research is conducted according to the action-research methodology. The system was accepted by 89.5% of the sample assessment using the Technology Acceptance Model TAM.