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According to the Department of Health & Human Services of the USA nearly 7.7% of children age 3 and 17 has had a disorder related to voice, speech, language or swallowing in the past 12 months. This reality is not different from Ecuador where “Consejo Nacional para la Igualdad de Discapacidades” indicated that a 1.34% of children present language and speech disorders and these occur more in boys than in girls. Based on this, it's important that speech therapy provides treatment for children with difficulties in speech and language and these are developed according to a set of areas, sub-areas, activities, etc. previously defined by experts in area the speech therapy. Consequently, it seeks to generate a set of multimedia resources (images, sounds and videos) for the learning / teaching of language and speech. This repository will have an inference engine based on the knowledge modeled in the ontologies where according to the profile of the child allows to generate the best activities and based on these the necessary resources of multimedia files available on the internet to improve the language and speech of the child's.

According to estimations of the World Health Organization (WHO), approximately 4.5 million persons will become blind due to the primary Glaucoma. For these reasons, in this paper, we present a simple approach to estimate the risk of suffering from glaucoma that presents a patient. Our proposal relies on the automatic analysis of Optical Coherence Tomography (OCT) images through the calculus of nerve fiber and ganglionary vessels areas. To this aim, our system separates the two areas mentioned before through computer vision techniques and the Newton Interpolation Method. Once the two areas are separated, the system determines the size of each of them. This proposal was validated through an experiment carried out with OCT 30 images (per eye). The results are encouraging, and the suggestions provided by the system match with medical diagnosis.

Currently, the community of deaf women must face lack of several resources related to their personal and professional development: (i) the lack of bilingualism (sign language and written language), (ii) the lack of an appropriate knowledge about local sign language, and (iii) the scarcity of educational plans about of Sexual and Reproductive Health (SRH). This situation triggers several problems such as transmission of sexually transmitted diseases, unwanted pregnancy in adolescence, sexual violence, and complications during pregnancy. For these reasons, in this paper, we present an ecosystem and an educational methodology aimed on improving the access to SRH programs as well complementing the engineering academic curriculum. Our proposal was put to test with 3 (deaf) human experts of the Federation of the Deaf of Azuay. The results are encouraging and have shown that it is necessary to implement educational programs in universities and colleges.

The Higher Education Initiative (HEI) promoted by UNESCO and other international institutions, proposes four fundamental postulates related to the sustainable development. From these postulates, one focuses on the cooperation with local and international networks. In the same way, it is important mentioning that in every group, it members are freely interacting individuals who share accepted norms and goals and have a collective identity. For these reasons, during the university training process, it is fundamental that students learn skills to work in groups as well as to address problems in multidisciplinary teams. In the light of the above, in this paper, we present an intelligent system that determines the best alternatives to automatically generate groups of students to address practice activities and problems. Our proposal uses a genetic algorithm to analyze the personality of the students and their academic profiles. The achieved results are encouraging and show a precision of 87% according to an expert team that evaluated the system.

According to the United Nations Educational, Scientific and Cultural Organization (UNESCO), due of the rapidity of cultural change, safeguarding the world's tangible and intangible cultural heritage has become an increasingly complex and multidimensional undertaking. Therefore, it is fundamental for the children and youth of today to learn the culture, values, and traditions that define their identity as well as the identity of their nation. For these reasons in this paper, we present an interactive app aimed at supporting both teaching and rescuing the heritage of Canari and Inca indigenous cultures. Our mobile app can be used at children's home or during the guided visits of one of the most important museums in Ecuador: the Pumapungo Museum. Likewise, the app can identify QR codes to show multimedia material to children, contains several 3D objects that are presented using Augmented Reality (AR), and incorporates a data mining module to analyze several aspects of the museum visitors (geographical information, feedback collected through a survey, etc.). The app was tested in real guided visits in the museum with 30 children from three different schools (low and middle -income), and the results show high levels of interest in the contents and the app.