Artificial learning systems such as e-learning, multimedia Human or artificial tutors have to continuously and dynamically and hypermedia, and Intelligent Tutoring Systems (ITS) monitor and model all of the students activities are designed to support learning processes in order to facilitate (including problem solving processes, deployment of regulatory the acquisition, development, use, and transfer required processes, and so on), make complicated inferences to solve complex tasks. Besides their trivial duties about them, to ensure that learning is maximized. Students regarding content management, these systems have to interact and tutors need decision support capabilities in terms of social with different users, and support them with several decisional networks analysis, visualization tools of students behaviors processes. One of the most critical decisions includes in relation to the domain knowledge to be explored, those dealing with aspects of self-regulation. A paradigm shift changing task conditions, and dynamic aspects of the instructional is needed in this respect.