Description of a system for determining the level of student learning from the posture evaluation

The evaluation and improvement of global education has been a priority, but the complexity of the factors that surround and affect educational practice, especially in developing countries, such as Colombia make to achieve this is goal a challenge. The traditional method of assessing and improving teaching practices has been based on a qualitative assessment of teachers and students, in long time intervals. Additionally, these evaluations are not available in order to identify weaknesses of teaching practices and thus correct on time. For these reasons, in this paper the concept of SmartRoom, which is a type of learning environment that looks for improving teaching practices through the evaluation of a set of teaching practice performance metrics, and thus suggest the educator a change in the methodology or type of presentation of the contents that are better suited to the conditions of the current class classroom, is proposed. Besides, the development of an inference system, which using the body postures of students within the classroom determine their engagement or attention levels, is described. As far as we know no one has done studies associating the issue of describing the quality of teaching practices with intelligent learning environments (Smart Classroom).