The importance of fostering a new generation of dedicated engineers, as outlined in the United Nations Sustainable Development Goals, is underscored by the urgent need to address environmental, social, and economic challenges. However, attracting and retaining high school students in engineering programs remains a significant challenge. High school counselors play a crucial role in this process and can benefit from professional development programs focused on enhancing their understanding of engineering. This study examines the effects of the Industrial Engineering Experiential Workshop on high school students' decisions to pursue engineering careers. The workshop uses an inverted methodology, prioritizing practical experience over formal instruction, departing from traditional knowledge acquisition approaches. The study involved 29 fifth-semester high school students who underwent a comprehensive four-stage process. This process included a plant tour, a workshop on industrial engineering using a simulator, formal learning on Lean Manufacturing, and the application of engineering knowledge to improve productivity. Qualitative methods, such as in-depth interviews and testimonials, were used to evaluate the students' perceptions. The study's findings emphasize the positive impact of the workshop on students' decision-making. This provides insights for developing strategies to attract and retain students in engineering programs. The study's unconventional, hands-on approach offers a promising avenue for enhancing the effectiveness of career counseling and educational initiatives in the field of engineering. Further research could explore the impacts across engineering disciplines.

Embracing challenge-based methodologies, such as Tec de Monterrey does, Investigation-Based Learning (IBL) on Course Undergraduate Research Experience (CURE) approaches are excellent strategies. IBL-CURE implementation in the first learning levels in universities as a methodology has been a prolific dare, for instance, during the first approaches to basic scientific and technical knowledge, students have been urged to solve several challenges in order to apply the theoretical knowledge to specific problem situations or to build different devices for competitions in several areas, however, there were not a methodology application in order to manage the knowledge or for seeking new data or even reliable data. Application of IBL-CURE to cut up a certain challenge to create a divulgation scientific paper as a finish deliverable graded, urges to every single student to learn about scientific search platforms, quotations methodology, the difference between technical and divulgation language, and how to read a scientific paper.

Around 15% of the global population, with a 6% prevalence in Mexico, experiences disabilities, underscoring the imperative to address their unique needs. This study focuses on Tecnológico de Monterrey's program, ‘Design and Analysis of Experiments for Engineering Innovation’ (DAEEI), which integrates Design Thinking and Design of Experiments. Investigating the impact of this integration on empathy and user-centered prototypes, the research took place within the DAEEI course, where students designed disability-friendly furniture with significant social impact. Key competencies cultivated include problem-solving, empathy, and innovation, fostering comprehensive engineering education by bridging interdisciplinary and disciplinary knowledge. The results highlight the effectiveness of the DAEEI course, showcasing a transformative impact. Engaged in designing socially impactful furniture, students exhibit enhanced problem-solving skills, heightened empathy, and a propensity for innovative thinking. This approach positions Tecnológico de Monterrey as a pioneer in shaping socially conscious and innovative engineers, poised to meet the evolving needs of an inclusive society.

The widespread use of Generative Artificial Intelligence (GenAI) tools in higher education, particularly among university students, has raised ethical concerns regarding unintentional plagiarism. Although these tools offer benefits such as time-saving and improved quality, with over 100 available applications, they may inadvertently include borrowed content, posing challenges to academic integrity. Ethical concerns arise within educational institutions, faculty, and integrity committees, complicating evaluations of originality. To address these concerns, universities must establish clear guidelines and educational programs for responsible use of GenAI applications. Educators need to remain current with the latest AI technologies, become proficient in their use, and utilize advanced techniques to teach students how to use them appropriately. This mixed-methods study examines undergraduate engineering students' understanding of GenAI, its usage and ethical implications. The findings demonstrate that ChatGPT is the most popular GenAI application among the students, but also highlight the professors' unfavorable attitudes towards GenAI. The study endeavors to improve understanding of perspectives on GenAI in higher education, facilitating responsible technology integration in classrooms and fostering students' ethical growth. The investigation provides valuable insights for professors, institutions, and research communities engaged in student development and educational advancement. This study also shows a panorama of strategies that could be implemented by teachers to incorporate GenAI in higher education.

This article explores the potential of the metaverse as a tool to reinforce collaborative work and improve student participation. A Rally was conducted as a playful activity in the metaverse, and data were collected through a validated survey to assess the impact on student motivation, participation, and collaboration. The main idea was to take advantage of the features of the metaverse to create an interactive and motivating learning environment that fosters collaboration and the exchange of ideas among students. To achieve this, interdisciplinary teams were formed that allowed students to interact and work together in problem solving and knowledge construction. The results of the research show that the use of playful activities in the metaverse improves student participation and motivation, as well as their ability to collaborate and communicate effectively. In conclusion, the proposal presented in this article offers an innovative and effective alternative for the reinforcement of collaborative work in the context of online education and collaboration.

Building photometric databases usually requires the gathering of images of a still object under different light source directions. During this process, unexpected artifacts such as noise, shadows, inter-reflections and other unwanted effects introduced by the sensibility of the camera may appear along the database, diminishing its consistency as a whole and therefore its suitability for the purposes of photometric analysis. This paper describes a method for improving photometric consistency in image databases acquired under photometric rigs. The main idea of our approach is to build and analyze a luminance matrix storing the reflectance behavior of each pixel under the different light source directions. To this end, we propose to fit sinusoidal functions to the singular vectors of this luminance matrix in order to improve its agreement with Lambertian reflectance. Experiments demonstrate that our method improves the photometric consistency of the database, providing stability for the purposes of photometric analysis of the database and surface shape recovery.