Cotas de gênero na produção de jornalismo e ficção. Propostas teóricas e marcos regulató- rios para a mudança.

Anais das IV Jornadas Internacionais de Problemas Latino-Americanos: Lutas, Experiências e Debates na América Latina - ISBN 978-950-793-223-6 - Orgs. Paulo Renato da Silva ; Mario Ayala ; Fabricio Pereira da Silva ; Fernando José MartinsEn este trabajo nos acercamos a la problemática de las experiencias laborales de las y los profe- sionales en los medios de comunicación, teniendo en cuenta su articulación con los condicionantes de género y la organización socio laboral en el contexto actual de cambios normativos e institu- cionales producidos en la actualidad que plantean cambios económicos y culturales para este sec- tor. Para ello recorremos los antecedentes históricos y teóricos que nos permiten indagar las prác- ticas y experiencias profesionales en la producción de contenidos periodísticos y de ficción produ- cidos para televisión abierta, atendiendo las modalidades de inserción y promoción en el empleo, las estrategias de conciliación laboral-familiar, así como las diferencias en oportunidades- obstáculos laborales, registrados por mujeres y varones en los ámbitos de trabajo.PPG – IELA – UNIL

Socially Assistive Robotics: State-of-the-Art Scenarios in Mexico

In this chapter, we describe the experience about the use of a humanoid robotic platform, in scenarios such as education and health in Mexico. The results obtained are commented on through the perspective of cultural, technological, and social aspects in the frameworks of education (from elementary to high school) and training of health professionals. The opening towards humanoid robotic systems in elementary school children, as well as health professionals, is not far from the acceptance due not only for the technological advancement but also for different social aspects. These two considerations influenced the results obtained and experiences achieved. At the same time, this chapter shows how humanoid robotics has functioned as a tool for final projects of undergraduate students

Digital accreditations in MOOC-based training on sustainability: Factors that influence terminal efficiency

Digital certificates in massive open online course (MOOC) learning experiences provide alternative credentials linked to lifelong learning. The Bi-National Laboratory on Smart Sustainable Energy Management and Technology Training provided the context for this research. This project was undertaken by Mexican and United States universities, businesses and governmental organisations, having granted 17,776 certifications in sustainability and 10,705 labour competence certificates. The research focused on analysing the factors that promote digital credentials, from the point of view of participant and platform characteristics, in the framework of MOOCs in energy sustainability, through the MexicoX and edX platforms. Using the ex post facto method, two validated instruments were applied to analyse motivation and self-regulation processes. A total of 4,002 useful responses were gathered from participants in 35 MOOC courses. The results account for six determinant factors for digital accreditation: perceived usefulness, self-efficacy, knowledge domain and expertise, group work disposition, achievement drive, and performance strategic thinking. We highlight implications for research on educational innovation and for educational practice in MOOCs. These data may be of interest to academics, researchers and decision-makers interested in training through distance environments. Implications for practice or policy: • Digital certifications in MOOCs are motivation for participants to successfully finish their courses, and this can be leveraged for education and research. • Course leaders need to consider that effective design and implementation of new models for MOOCs may help improve terminal efficiency. • The potential perceived benefits from training on professional performance have the greatest influence on the terminal efficiency of MOOC participants

A pipeline framework for robot maze navigation using computer vision, path planning and communication protocols.

Maze navigation is a recurring challenge in robotics competitions, where the aim is to design a strategy for one or several entities to traverse the optimal path in a fast and efficient way. To do so, numerous alternatives exist, relying on different sensing systems. Recently, camera-based approaches are becoming increasingly popular to address this scenario due to their reliability and given the possibility of migrating the resulting technologies to other application areas, mostly related to human-robot interaction. The aim of this paper is to present a pipeline methodology towards enabling a robot solving maze autonomously, by means of computer vision and path planning. Afterwards, the robot is capable of communicating the learned experience to a second robot, which then will solve the same challenge considering its own mechanical characteristics which may differ from the first robot. The pipeline is divided into four steps: (1) camera calibration (2) maze mapping (3) path planning and (4) communication. Experimental validation shows the efficiency of each step towards building this pipeline

Fuzzy PD Controller in NAO System\u27s Platform

Humanoid robotic platforms rarely achieve the desire trajectory because of the deviation generated during the robot walking. This problem is due to different circumstances such as robot manufacturing, wear and tear of mechanic parts, or variations of floor flatness. Currently, one of the humanoid robots on the market is the robotic platform developed by Aldebaran Robotics called NAO robot, and it is used for different purposes where the robot needs to navigate into controlled spaces. NAO presents the issue of deviation during walking; therefore, a Fuzzy PD Controller is developed and implemented for this platform to reduce the orientation error and to ensure reliability during navigation. Inertial sensors are used to get the orientation reference and for feedback of the closed-loop control. Consequently, a robust control was implemented and tested in different conditions of floor and velocity during the robot’s navigation such as robot races and maze resolution. Experimental results show that fuzzy controller achieves significant improvements in the trajectories of NAO

Implementation of NAO robot maze navigation based on computer vision and collaborative learning.

Maze navigation using one or more robots has become a recurring challenge in scientific literature and real life practice, with fleets having to find faster and better ways to navigate environments such as a travel hub, airports, or for evacuation of disaster zones. Many methodologies have been explored to solve this issue, including the implementation of a variety of sensors and other signal receiving systems. Most interestingly, camera-based techniques have become more popular in this kind of scenarios, given their robustness and scalability. In this paper, we implement an end-to-end strategy to address this scenario, allowing a robot to solve a maze in an autonomous way, by using computer vision and path planning. In addition, this robot shares the generated knowledge to another by means of communication protocols, having to adapt its mechanical characteristics to be capable of solving the same challenge. The paper presents experimental validation of the four components of this solution, namely camera calibration, maze mapping, path planning and robot communication. Finally, we showcase some initial experimentation in a pair of robots with different mechanical characteristics. Further implementations of this work include communicating the robots for other tasks, such as teaching assistance, remote classes, and other innovations in higher education

Developing the skills for complex thinking research: a case study using social robotics to produce scientific papers

The development of university students’ skills to successfully produce scientific documents has been a recurring topic of study in academia. This paper analyzes the implementation of a training experience using a digital environment mediated by video content materials starring humanoid robots. The research aimed to scale complex thinking and its sub-competencies as a hinge to strengthen basic academic research skills. Students from Colombia, Ecuador, and Mexico committed to preparing a scientific document as part of their professional training participated. A pretest to know their initial level of perception, a posttest to evaluate if there was a change, and a scientific document the students delivered at the end of the training experience comprised the methodology to demonstrate the improvement of their skills. The results indicated students’ perceived improvement in the sub-competencies of systemic, creative, scientific, and innovative thinking; however, their perceptions did not align with that of the tutor who reviewed the delivered scientific product. The conclusion was that although the training experience helped strengthen the students’ skills, variables that are determinants for a student to develop the knowledge necessary to prepare scientific documents and their derived products remain to be analyzed