Augmented reality (AR) is revolutionising education by integrating virtual elements into physical environments, enhancing interactivity and participation in learning processes. This study analyses the impact of AR in higher education, examining its influence on ease of adoption, student interaction, academic motivation and educational sustainability. A quantitative and explanatory design was employed, applying structural equation modelling (SmartPLS) to a sample of 4900 students from public and private universities. The results indicate that AR significantly improves the ease of adoption (β = 0.867), favouring its implementation. In addition, student interaction increases academic motivation (β = 0.597), impacting on perceived academic performance (β = 0.722) and educational sustainability (β = 0.729). These findings highlight the need to design effective learning experiences with AR to maximise their impact. However, challenges such as technological infrastructure, teacher training and equitable access must be addressed to ensure sustainable adoption. This study provides empirical evidence on the potential of AR to enhance motivation, learning and educational transformation. Future research should explore its effectiveness in diverse contexts to optimise pedagogical strategies and institutional policies.

The study aimed to interpret how citizen participation mechanisms contribute to rebuilding public trust in the Peruvian state, considering how citizens evaluate transparency, institutional legitimacy, and state responsiveness. A qualitative approach with an explanatory-interpretive scope was developed, based on a phenomenological-hermeneutic method, and included 4124 participants selected through purposive sampling, whose semi-structured interviews were analyzed through open and axial coding in Atlas.ti v23. The results showed that public trust is mainly shaped by the perceived consistency between institutional discourse and action, clarity of information, accessibility of services, ethical conduct of officials, and responsiveness to social demands. Likewise, it was identified that citizen participation is valued positively when it produces verifiable results, feedback, and continuity, while it is perceived as symbolic when it does not influence decision-making, there is one-way communication, or bureaucratic and technological barriers persist. In conclusion, the study shows that public trust is rebuilt when institutions guarantee transparency, clear communication, and participatory mechanisms with real impact, shaping governance oriented toward openness, shared responsibility, and democratic legitimacy.

This study examines the relationship between social media use for political information, digital citizen participation, and media credibility in Arequipa, Peru's second-largest city. The sample consisted of 4,769 adults residing in urban areas of four provinces. A quantitative, non-experimental, cross-sectional design with a correlational-explanatory scope was used. Data were collected using a structured questionnaire administered in person between November and December 2024. The analysis was performed using structural equation modeling with Partial Least Squares (PLS-SEM) using SmartPLS 4.0. The main findings are: (1) the use of social media for political information is positively associated with digital citizen participation (β = 0.614, p < 0.001); (2) the use of social media is negatively associated with media credibility (β = -0.312, p < 0.001); (3) digital citizen participation is negatively associated with media credibility (β = -0.418, p < 0.001); (4) digital citizen participation partially mediates the relationship between social media use and media credibility (VAF = 45.2%); (5) age moderates platform preference, with young users adopting TikTok and Instagram more intensely; and (6) socioeconomic status moderates the relationship between social media use and media credibility, being more negative in lower socioeconomic strata. Facebook dominates with 75.1% among social media and 42% among all information sources, while 66% of respondents report a negative image of journalists. The results show changes in information consumption patterns, with digital platforms replacing traditional media and eroding media credibility.

Augmented reality (AR) is revolutionising education by integrating virtual elements into physical environments, enhancing interactivity and participation in learning processes. This study analyses the impact of AR in higher education, examining its influence on ease of adoption, student interaction, academic motivation and educational sustainability. A quantitative and explanatory design was employed, applying structural equation modelling (SmartPLS) to a sample of 4,900 students from public and private universities. The results indicate that AR significantly improves the ease of adoption (β = 0.867), favouring its implementation. In addition, student interaction increases academic motivation (β = 0.597), impacting on perceived academic performance (β = 0.722) and educational sustainability (β = 0.729). These findings highlight the need to design effective learning experiences with AR to maximise their impact. However, challenges such as technological infrastructure, teacher training and equitable access must be addressed to ensure sustainable adoption. This study provides empirical evidence on the potential of AR to enhance motivation, learning and educational transformation. Future research should explore its effectiveness in diverse contexts to optimise pedagogical strategies and institutional policies.

El desarrollo de un sistema financiero sólido que impulse el crecimiento económico es de suma importancia para generar mejoras en los niveles de bienestar social de un país o región. Según cifras estimadas por el Instituto Nacional de Estadística e Informática (INEI), en la región Arequipa persiste un elevado porcentaje de personas que no utilizan servicios financieros formales. De esta manera, las políticas que promuevan la inclusión financiera surgen como pieza fundamental para brindar igualdad de oportunidades de acceso a servicios financieros en aquellos hogares que poseen bajos niveles de ingresos. En ese sentido, la presente investigación tuvo como objetivo determinar si los aspectos económicos y sociodemográficos influyen de manera significativa al acceso a servicios financieros en los hogares de la región Arequipa, haciendo uso de modelos econométricos con variables dependientes binarias (logit y probit). La información proviene de la Encuesta Nacional de Hogares (ENAHO), tomando en cuenta una muestra total de 1781 hogares para dicha región. Los resultados permitieron concluir que el acceso a servicios financieros en los hogares de la región Arequipa es influenciado principalmente por: poseer un contrato laboral, encontrarse afiliado al sistema de pensiones, disponer de un seguro de salud privado, contar con celular propio, acceso a internet y un aumento en el nivel del ingreso.

Cash transfer programs are a key tool for reducing poverty and improving the well-being of vulnerable households in developing countries. However, the accurate selection of beneficiaries remains a challenge. This study evaluates different machine learning techniques to predict participation in the Juntos program in Peru, using data from the 2023 National Household Survey (ENAHO). Models such as logistic regression, decision trees, support vector machine, gradient boosting machine, random forest, LightGBM, XGBoost, and CatBoost were compared. The results show that XGBoost achieves the best performance in beneficiary classification. These findings highlight the potential of machine learning techniques to enhance the allocation of resources in social programs. Their implementation would drive the modernization of public management, enabling data-driven economic resource management.