Revista de Investigación en Tecnologías de la Información

Teachers and the use of artificial intelligence (AI) as a learning process

2025-03-15T03:14:06+00:00

Artificial Intelligence (AI) refers to the use of computer systems that perform tasks that require human intelligence to generate learning experiences and optimize processes through software that feeds on information and algorithms that collect, process, apply rules and numerical models that interpret data. This includes natural language processing, robotics, machine learning, personalizing learning, adapting to student needs, and providing solutions to complex problems. This study defines the research objective to identify teachers' perception of the use of artificial intelligence (AI) in the classroom. The research design was non-experimental and quantitative, applied to a sample of 50 professors who teach classes in higher education. The results report that 44% of the teaching staff almost always stays updated on technological trends, 48% know the learning dynamics of the students and 66% their adaptation capacities. In this intervention, the study concludes that the teachers have extensive experience in teaching and are in a transition stage towards the incorporation of (AI) in their pedagogical strategies.

The Impact of artificial intelligence and digital tools on core subjects in higher education

2025-09-01T17:03:44+00:00

The integration of artificial intelligence (AI) and digital tools in higher education has transformed pedagogical methodologies, creating both opportunities and challenges in core subjects. This study examines the differential impact of these technologies on Mathematics, Language and Literature, Natural Sciences, Social Sciences, and Foreign Languages through a sequential explanatory mixed-methods design, combining a systematic review of 312 indexed studies with semi-structured interviews of 15 experts. Results reveal significant performance improvements, particularly in STEM and language disciplines, though with limited effects on critical thinking and creativity. Key paradoxes are identified, such as the tension between learning personalization and outcome homogenization, alongside gaps in teacher training and equitable access. The conclusions emphasize the need for hybrid models integrating AI with traditional pedagogy, ethical protocols to mitigate biases, and discipline-specific strategies, proposing a framework for responsible implementations that balance technological innovation with educational quality.

Design of an Edge IoT sensor node for air pollutant monitoring

2025-03-27T14:55:12+00:00

Air pollution is an environmental and public health issue that requires effective monitoring solutions. This work presents a low-cost Edge IoT sensor node for air pollutant monitoring, designed to expand geographic coverage and improve accessibility to environmental data. The system uses an ESP32 as the processing unit, sensors to measure particulate matter and pollutant gases, and a LoRa module for long-distance data transmission. An exponential moving average filter was implemented to reduce measurement noise, and comparative calibrations were conducted with reference stations. Results indicate that the node provides reliable measurements of PM10, PM2.5, CO, and NO2, although with lower accuracy compared to specialized monitoring stations. However, its integration with robust platforms allows it to complement traditional monitoring networks. This solution represents a scalable and accessible alternative to support decision-making related to air quality and environmental policies.

Web application built with the Laravel Framework integrated with MikroTik routers to manage clients, billing, and generating hotspot vouchers.

2025-06-09T18:51:49+00:00

The use of hotspot networks to provide controlled internet access is common in public and community environments. However, their administration often involves manual processes that hinder efficient user management, sales reporting, and voucher generation. This study demonstrates how applying an agile methodology such as Scrum, combined with modern web tools, enables the development of an effective application to automate these processes. Scrum was adopted as the development framework, organizing functionality into planned sprints based on user stories. The system was built using Laravel, Livewire, MySQL, and other web technologies, integrating features for managing clients, hotspot vouchers, sales reports, and vending machines connected via NodeMCU and MikroTik routers. Functional, integration, and performance testing confirmed the system's stability, efficiency, and alignment with project goals. Operational time improvements of up to 96% were observed in key tasks, along with a significant reduction in human error. These findings suggest that the combination of agile development and specialized automation provides an effective and adaptable solution for the technical administration of hotspot networks.