The study aimed to analyze the relationship and predictive capacity of ChatGPT use with respect to self-regulated learning skills in university students, considering frequency of use, quality of use, and strategic academic use. It was conducted using a basic quantitative approach with an explanatory-predictive scope and a non-experimental, cross-sectional design. A total of 335 university students, representing the accessible population, participated through a population census. A Likert-scale questionnaire was administered, and the data were analyzed using partial least squares structural equation modeling (PLS -SEM) with SmartPLS 4.0. The results showed adequate levels of reliability and validity for the measurement model, with factor loadings between 0.791 and 0.902, composite reliability between 0.903 and 0.941, and AVE values between 0.700 and 0.742. The structural model showed positive and statistically significant relationships between frequency of use (β = 0.184; p < 0.001), quality of use (β = 0.327; p < 0.001), and strategic academic use (β = 0.421; p < 0.001) with self-regulated learning competencies. The model explained 61.8% of the variance (R² = 0.618) and demonstrated predictive relevance (Q² = 0.406). It is concluded that strategic academic use has the strongest association and predictive capacity, followed by quality and frequency of use.

School leadership is a strategic factor in strengthening educational quality due to its influence on teachers' professional performance and the achievement of institutional objectives. This study aimed to analyze the explanatory model of school leadership and its influence on teacher performance in regular basic education institutions in the Junín region of Peru. A quantitative, non-experimental, explanatory, cross-sectional study was conducted. The sample consisted of 358 teachers, selected through stratified sampling. Structural Equation Modeling using Partial Least Squares (SEM- PLS ) was employed to analyze the relationships between the variables. The results showed that institutional planning exerts a positive and significant influence on task performance (β = 0.62; p < 0.001), followed by pedagogical support (β = 0.56; p < 0.001) and decision-making (β = 0.31; p < 0.001). Likewise, pedagogical support (β = 0.51; p < 0.001) and decision-making (β = 0.45; p < 0.001) showed significant effects on organizational civic behaviors. The model demonstrated substantial explanatory power, reaching R² values of 0.64 for task performance and 0.59 for organizational civic behaviors. The effect sizes indicated a moderate to high contribution from the dimensions of managerial leadership. It is concluded that managerial leadership constitutes a key mechanism to strengthen teacher performance since the findings support instructional and transformational leadership approaches; while, in practical terms, they suggest strengthening institutional planning, pedagogical support and teacher participation in decision-making to promote continuous improvement and educational quality.

This study analyzes the influence of community-based business management, focused on vicuña conservation, on socioeconomic development in a National Reserve in Peru. Using a quantitative approach and Partial Least Squares Structural Equation Modeling (PLS-SEM), a model integrating operations management (Oa), resource management (Ro), and environmental impact (Ia) was evaluated as determinants of business performance (De) and social welfare (Sc). The results reveal that the model has high explanatory power, with an R² of 0.63 for performance and 0.59 for socioeconomic development. Environmental impact was identified as the strongest predictor of community welfare (β = 0.420, t = 8.115), followed by operations management on organizational performance (β = 0.350, t = 7.778). All hypotheses were accepted with significance levels of p < 0.001, demonstrating that efficiency in vicuña fiber harvesting (chaccu) and sound environmental governance reduce the economic vulnerability of Andean populations. It is concluded that vicuña conservation is not only an ecological imperative but also a strategic asset that, under an organized community-based business structure, allows for poverty alleviation and the sustainability of livelihoods. The study provides empirical evidence for the design of public policies that harmonize biodiversity preservation with economic growth.

The objective of this research was to analyze the mediating role of academic motivation in the relationship between academic tutoring and academic performance among students at a private university in Huancayo. The study adopted a quantitative, explanatory, and non-experimental cross-sectional design. The population consisted of 10,000 students, from which a stratified probability sample of 370 participants was obtained. Data collection was carried out using Likert-type questionnaires validated by expert judgment and with adequate internal consistency (α > 0.84). The analysis was performed using Partial Least Squares Structural Equation Modeling (PLS-SEM), applying bootstrapping of 5,000 subsamples to evaluate the statistical significance of the coefficients. The results showed that academic guidance (β = 0.401, p < 0.001) and pedagogical support (β = 0.385, p < 0.001) significantly influence academic motivation, while the latter directly and significantly impacts academic performance (β = 0.540, p < 0.001). Furthermore, the mediation effect of academic motivation was found to be partial, given that the dimensions of tutoring also had significant direct effects on performance. The structural model explained 58% of the variance in academic performance (R² = 0.58), indicating a substantial explanatory capacity of the set of variables included. It is concluded that academic tutoring is most effective when it strengthens students' internal motivational processes, consolidating an integrative approach to improving university performance.

University Social Responsibility (USR) programs are closely linked to comprehensive student education, as they integrate academic learning with ethical, social, and civic development; these programs not only strengthen students' technical knowledge, but also promote values such as solidarity, commitment, and empathy by involving them in community actions and projects oriented to the common good; This study sought to establish the degree of connection between USR and comprehensive university education. A basic type study with a quantitative approach and correlational level, the survey technique and the instrument were used, the questionnaire called University Social Responsibility and Comprehensive Student Education. The population consisted of 221 students from the Faculty of Engineering of a public university in the department of Junín - Peru , the inclusion criterion being enrolled in the 2025-I academic period. The data were processed through structural equations (SEM); Within the results, we can see a Spearman Rho correlation coefficient of 0.831 with a significance level of 0.001, which demonstrates a positive and strong association between the variables studied. Furthermore, the general hypothesis of a significant relationship between University Social Responsibility and the comprehensive development of students is validated.

Social media plays a fundamental role in shaping eating habits, especially among young people, since their use through digital platforms has transformed the way they access information about nutrition, recipes, diets, and healthy lifestyles. Constant exposure to visual content and messages related to food directly influences daily decisions about what, how, and when to eat. The study aimed to establish the relationship of social media with eating habits in university students from a private university in the city of Huancayo, located in the Junín region of Peru. The research was basic under a quantitative approach with a cross-sectional section, the population was made up of 311 university students enrolled in the 2025-I academic period. The results were processed through structural equations using the Jamovi program. These results indicate a high degree of relationship between the study variables, given that the Spearman Rho correlation coefficient was 0.832 and 0.000 as the significance level, demonstrating a strong, positive relationship. The study concluded that there was a strong, significant relationship between the dimensions of the social media use variable (network use, platform type, social interaction, and personal and social impact) and eating habits.

Public management seeks to balance efficiency and effectiveness to ensure that administrative simplification benefits both institutions and users. This study aims to determine the extent to which service quality optimizes administrative simplification. This is an applied research study, with a quantitative approach and explanatory-correlational level, conducted with 122 students from the Faculty of Animal Husbandry at the National University of Central Peru - Huancayo. Inductive-deductive, experimental, comparative, and statistical methods were used, with a longitudinal design. A questionnaire based on the Technical Standard for Service Quality Management in the Public Sector was administered. The results, analyzed using the Z statistical test with a 95% confidence interval, showed a value of 3.527, accepting the alternative hypothesis (μD > 0). This demonstrates that administrative simplification improved significantly after the implementation of strategies designed to correct weaknesses detected in the diagnosis. Consequently, the improvement in service quality resulted in improved administrative simplification, reducing service times and costs. It is concluded that the implementation of strategic actions led to improved service quality, directly benefiting the student population.

The COVID-19 pandemic generated significant social transformations in different sectors of society, one of the most important being the labor market. This research establishes the relationship between these transformations and employment trends among repowered item vendors in the city of Huancayo, Peru. Three key dimensions were addressed: destruction, expansion, and modification of employment. The research adopted a quantitative approach, with an exploratory, descriptive, and correlational design. Validated questionnaires were administered to a representative sample of 331 repowered item vendors. The results indicate a significant relationship between social transformation and employment trends, which is reflected in a reconfiguration of employment in this sector. A loss of job opportunities was evident; however, an expansion of employment was also observed through adaptation to new forms of marketing and the growing demand for repowered products. Likewise, changes in labor dynamics were identified, including the use of new sales strategies and the digitization of processes. In conclusion, the pandemic not only negatively affected employment in this sector, but also encouraged resilience and adaptation strategies.

Websites have become the digital showcase for companies, organizations, and people in a globalized world. These platforms are essential for communication, e-commerce, education, and entertainment. The objective of this study is to analyze the relationship between the quality of information on websites and user satisfaction in public higher education in Tarma. This is basic research with a quantitative and correlational approach, carried out with a sample of 428 students of the professional careers of Administration, Nursing, and Agroindustrial Engineering enrolled in 2024 at the Universidad Nacional Autónoma Altoandina de Tarma, located in the Department of Junín. The data were processed and modeled using structural equations based on PLS. The results show a Spearman's Rho correlation coefficient of 0.852 and a significance level of 0.000, which shows a high positive correlation between the variables studied. Likewise, the general hypothesis is confirmed, which establishes a significant relationship between usability, information quality, service interaction quality and user satisfaction of the university website.

Job satisfaction and digital talent are topics of growing interest in the context of digital transformation. Digitalization is changing the way organizations operate and how employees perceive their work. The state and its administrative staff is no exception, as these capabilities are essential to perform operational tasks that underpin the public institution's documentary processes. This study investigates the influence of digital talent (independent variable) on job satisfaction (dependent variable), employing structural equation modeling (SEM) using WarpPLS software. Digital Talent is broken down into three sub-variables: Digital Competencies of Employees (DCE), Capacity for Digital Innovation and Creativity (CIDC) and Adaptability and Continuous Learning (ACL), while Job Satisfaction is measured through two sub-variables: Work Environment (WE) and Professional Development Opportunities (PDO). The analyses revealed that Capacity for Innovation and Digital Creativity (CIDC) has a significant impact on Work Environment, with a path coefficient (β) of 0.13 (p = 0.01). Similarly, adaptability and continuous learning (ACL) positively influence the work environment, with a path coefficient (β) of 0.10 (p = 0.04). In addition, a strong relationship was found between professional development opportunities (PDO) and work environment, with a path coefficient (β) of 0.68 (p < 0.001). For the relationship between digital competencies (DCE) and career development opportunities, the path coefficient was 0.10 (p = 0.04). Digital talent is a key predictor of job satisfaction in administrative staff. The results suggest that investing in the development of digital capabilities, especially innovation and creativity, as well as adaptability, is essential to improve the work environment and career development opportunities.