Incorporing mobile systems in teaching-learning process has enabled m-learning as a mean to customize student learning and to encourage collaborative learning. Some works have proposed m-learning systems, however, they don´t include two key aspects: monitoring and personalization services based on learning styles and student learning context as it is incorporated in this research. Additionally, there is also a limited work focus on the development of basic disciplinary skills in mathematics and computing subjects in high-school education. This paper describes the design and development of a contextaware mobile learning system that includes mobile learning objects (MLO) for the development of basic disciplinary skills in mathematics and computing for high-school education. Our work proposes learning monitoring and personalization services characterized by: using SMS, social networks (Facebook and Twitter) and provides educational content through MLO based on context and student learning styles.

Currently, there is a trend to develop context-aware mobile distributed systems (MDS), such as systems that recommend places according to the location and the path of users. Some of the key challenges in the development of this type of systems are the following: acquisition, management and use of data context. In this paper, we propose two-level software architecture to obtain, use and provide context information in a MDS. From our point of view, the proposed architecture takes into account the requirements that emerge from data collection, use and management of context, as well as the own features of MDS. Based on our software architecture, a context-aware group communication system is implemented, which allows members to have four types of context: physical activity, logical activity, location and level of sound.