This study analyzes the polarization of narratives on social media during the protests that occurred in Puno, Peru, in 2023, using advanced natural language processing (NLP) and machine learning techniques. 1,378 comments from Facebook and 1,400 from YouTube were collected and preprocessed, applying cleaning, normalization, and stop word removal procedures in Spanish. For sentiment analysis, the VADER model was used, classifying opinions into positive and negative, with an overwhelming predominance of negative comments (96.2%). Additionally, the Latent Dirichlet Allocation (LDA) algorithm was implemented to identify five key narratives: popular power, support for Pedro Castillo, the demand for Dina Baluarte's resignation, references to symbolic figures, and demands for justice for deaths during the protests. These results show significant sociopolitical polarization on digital platforms, reflecting latent tensions in the population. This analysis demonstrates the potential of NLP and topic modeling tools to monitor and detect polarizing discursive trends in real time, allowing for an early assessment of emerging narratives in crisis contexts. The methodological and predictive implications of the present approach suggest its applicability in future studies on sociopolitical conflicts and digital polarization dynamics.

This study presents a solution for predicting university dropout rates, leveraging advanced digital technologies and the Random Forest algorithm. The model was developed using key academic variables, such as year of enrollment, program of study, semester attended, and academic performance, represented by the grade point average (GPA). A dropout threshold was established for students whose GPA fell below 11. The dataset was partitioned into 70% for training and 30% for testing, yielding an overal

El desarrollo de las actividades académicas durante la pandemia trajo consigo muchos cambios y nos permitió adaptarnos a los diferentes modos de llevar a cabo tareas del quehacer académico, obtener la valoración de los estudiantes universita- rios sobre la clases virtuales fue el objetivo principal de este estudio, donde median- te las técnicas provistas por la Inteligencia Artificial (IA) se ha logrado identificar una valoración negativa en general, y esto nos ha servido para categorizar también las características más relevantes de esta valoración, como consecuencias a la adaptación de estos cambios en las clases virtuales.

The aim was to determine the factors that influence the development of stress in college students during nonface-to-face classes during the COVID-19 pandemic in 4 universities in southern Peru. To achieve the objectives, 570 students were sampled using Google Forms. The approach was quantitative, transactional design, and descriptive-correlational type. The instrument used to measure stress was the Perceived Stress Scale (PSS) with 10 items (dependent variable) and 21 possible stress-causing fac

An effective speech signal chat bot’s concept and evolution are discussed in this study. A technological demonstration is presented in the study to test a suggested framework needed to enable such a fake account (a online service). All types of clients can communicate with the public server from any location thanks to web solutions. device, even if a black box method is utilised by regulating the framework between and to the webserver. The service is made available via a created interface that enables easy XML reading, and the flexibility increases the service’s longevity. The screen bot creates personalised user replies that are linked to the intended character by incorporating an artificial heart. Ununderstood questions sent to the bot are analysed further utilising a second classification model (a scientist doing online cognitive study), and the outcome is retained, improving the skills of the cybernetic organisms for the production of answers in the later.

The objective of this study was to analyze gross motor development in preschoolers on the islands of Lake Titicaca, considering the variables sex and age. The study corresponds to the descriptive-comparative cross-sectional design. 57 preschool children (31 boys and 26 girls, age M = 5.0, TD = .54) from the islands of Amantaní, Taquile and Uros, located in the province of Puno (Peru), at an altitude of 3810 m.a.s.l. participated. TGMD-2, Spanish version (reproducibility of .82) was used. The results show an average gross motor development (50.9%), with an age equivalent to six years (M = 6.0, TD = .82), one year above its chronological age (M = 5.0, TD = .54). Differences were found between islands (p = .01 <.05). No gender differences were found in gross motor development (p = .15> .05) or in locomotion development (p = .74> .05), but in object control (p = .00 <.05). , as well as in age (p = .00 <.05). It is concluded that the preschoolers present an average gross motor development with an equivalent age of one year older than their chronological age, of which preschool children from Taquile stand out by presenting a higher – above average development, with an equivalent age of one year and nine months older than their chronological age, being superior to those of Amantaní and Uros, who present an average development and a lower equivalent age. Women show more development than men only in object control. Those of four years present more development than those of five. Resumen. El objetivo de este estudio fue analizar el desarrollo motor grueso en preescolares de las islas del lago Titicaca, considerando las variables sexo y edad. El estudio corresponde al diseño transversal descriptivo-comparativo. Participaron 57 niños de etapa preescolar (31 varones y 26 mujeres; edad M=5.0, DT= .54) de las islas de Amantaní, Taquile y Uros, localizadas en la provincia de Puno (Perú), a una altitud de 3810 m s. n. m. Se utilizó el TGMD-2, versión en español (reproductividad de .82). Los resultados demuestran un desarrollo motor grueso promedio (50.9%), con una edad equivalente a seis años (M=6.0, DT= .82), un año por encima de su edad cronológica (M=5.0, DT= .54). Se encontraron diferencias entre islas (p= .01< .05). No se encontraron diferencias de género en el desarrollo motor grueso (p= .15> .05) ni en el de locomoción (p= .74> .05), pero sí en control de objetos (p= .00< .05), al igual que en edad (p= .00< .05). Se concluye en que los preescolares presentan un desarrollo motor grueso promedio con una edad equivalente de un año mayor a su edad cronológica, de los que destacan preescolares de Taquile al presentar un desarrollo superior-por encima del promedio, con una edad equivalente de un año y nueve meses mayor a su edad cronológica, siendo superior a los de Amantaní y Uros, quienes presentan un desarrollo promedio y edad equivalente menor. Las mujeres presentan mayor desarrollo que los varones solo en control de objetos. Los de cuatro años presentan mayor desarrollo que los de cinco.