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This paper presents the analysis of recent research on mobile learning and usability areas, applying a systematic mapping study. It also presents the main focus adopted by each publication, the types of mobile device and operative systems. The aim is also to understand the tendencies and needs in the fields of design and evaluation of the m-learning systems. Results demonstrate that research in the area has grown significantly since the 2012, and due to the recent boom of mobile devices in education, we believe that the number of studies will continue to grow in the following years. Also we identify a necessity when we see that not all the mlearning applications have used usability tests, we did not find guidelines or frameworks to evaluate them either. With this results and tendencies, we propose the creation of an evaluation framework for m-learning applications, considering pedagogical usability and user interface usability, to improve the quality of mlearning applications.

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This work presents some results in hybrid modeling and control of a drinking water treatmentplant. The work is focused in modeling of the filtering subprocess using the Mixed Logical and Eynamical (MLD) systems, this framework that is able to represent continuous dynamics and discrete-event dynamics in an integrated form. The resultant system is well-posed for Model Predictive Control (MPC) that is used as control strategv for the system.