Currently, in the field of education, a multidisciplinary approach called STEM (Science, Technology, Engineering, and Mathematics) has emerged, which has been complemented by the culture of "doing", known as the Maker Movement. As a result of this complement, the STEM Maker teaching methodology has emerged, and its application has gained significant relevance due to the contrasting results with traditional teaching methods. In the present work the description of a practical case of teaching applying the STEM methodology is presented. This practice integrated 58 participants, manly students and professors at high school and professional level. The practical approach consisted in obtaining technological products based on the development of software and the implementation of Hardware. The participating population initially lacked the basic concepts required for the practice. However, at the end of the practical course, an analysis was carried out based on surveys applied to the participants in each class (class diary, self-evaluation, and quality interview) and the results showed that the learning acquired in many of the participants was sufficient to develop programming skills and electronics. In addition, the learning experience was more satisfactory as the course progressed because the new skills acquired by the participants generated greater confidence to be able to face the proposed challenges. The elements that the participants highlighted in a positive way were interacting with the components in a physical way, generating programming codes using their own logic, implementing the necessary hardware for an application and being able to visualize in real time the operation of their applications integrated by software and hardware.
This research focuses on the use of artificial intelligence and data analysis, both images and distances, to design a model capable of detecting pedestrians in the vehicle’s reverse camera, considering different road scenes to establish a more robust algorithm. The main objective is to address road safety issues affecting vulnerable pedestrians in collisions with backward-moving vehicles.
This research centers around utilizing artificial intelligence and data analysis to design a model capable of detecting the emotion of fear in women, this, using facial expressions and physiological signals obtained from non-intrusive sensors. The primary goal is to address the security concerns impacting women in shared transportation services in Mexico.
This work describes a didactic alternative for teaching Mazatec language based on Augmented Reality and contributing to the recover, diffusion, and conservation of the language. User-Centered Design (UCD) was used for designing the didactic tool. First, a contextual study was performed in the bilingual elementary school Ing. Jorge L. Tamayo located in Huautla de Jiménez, Oaxaca, Mexico. Next, user profiles, scenarios, and archetypes were constructed for designing a low fidelity prototype. Finally, the prototype was evaluated with usability metrics and feedback from users.
E-shopping sites use a variety of design elements that affect the shopping process and lead customers to favorable buying decisions. Such elements also play a significant role as impulse buying behavior triggers. In this exploratory study based on online questionnaires (N = 401), we investigated customers’ perception of the influence of eleven common e-shopping cues on their buying decisions and explored the connection between the perceived influence of the cues and the respondents’ gender, education level, and neuroticism. We found (1) that participants group the e-shopping cues by their influence power; (2) participants’ gender and educational level contribute to a more critical/favorable perception of some shopping cues; (3) a connection between a higher level of neuroticism and greater perceived influence of shopping cues, which results in lower shopping risks. Drawing on our research, we offer several design recommendations for the advancement of e-shopping websites, particularly concerning the implementation of e-shopping cues.
