Núñez-Naranjo, Aracelly Fernanda
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Núñez-Naranjo, Aracelly Fernanda
Main Affiliation
Ambato
Email
fernandanunez@uti.edu.ec
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Scopus Author ID
57918896500

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Subjective Well-Being and Corruption in Latin America

2024 , Núñez-Naranjo, Aracelly Fernanda , Ximena Morales-Urrutia , Rodrigo Villegas

This study explores the impact of corruption on subjective well-being in Latin American countries, focusing on Chile, Ecuador, Argentina, Uruguay, Venezuela, Bolivia, Colombia, and Peru during the period 2017-2021. The research examines how perceptions of corruption affect key indicators such as education, health, income, and life satisfaction. Utilizing secondary data from the World Values Survey, a descriptive and explanatory methodology was employed, incorporating statistical analysis and ordinal logistic regression models. Findings reveal a complex relationship between corruption and subjective well-being, indicating that higher levels of education are associated with increased awareness of corruption, while economic stability, political trust, and life satisfaction show varied associations with perceived corruption. The study highlights regional differences and contextual factors influencing these dynamics, providing insights into the multifaceted effects of corruption on human development and overall well-being in Latin American populations.

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Teaching Tools Based on Artificial Intelligence to Strengthen English Language Skills

2024 , Núñez-Naranjo, Aracelly Fernanda , Elizabeth Morales-Urrutia , Ximena Tapia

The use of tools based on artificial intelligence is taking an important role every day in the teaching and learning processes, which is why this study promotes the use of a repository of tools based on artificial intelligence to strengthen language skills. English seeking to help students develop the four skills necessary for learning English (listening, speaking, writing and reading). For the investigative process, a mixed methodology was used, a pretest was applied, obtaining an average value of 6.3 and once the repository was used with practical activities supported by artificial intelligence tools, a post test was applied with an average rating of 9, demonstrating a very notable improvement which evidenced the improvement of language skills. It is concluded that the proposed activities based on artificial intelligence tools motivated and stimulated students, improving their academic performance in learning the English language.

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Work Environment and its Influence on Organizational Commitment: A Study in the Financial Sector

2025 , España Rivadeneyra, Martina , Taruchaín Pozo, Fernando , Núñez-Naranjo, Aracelly Fernanda , Diego Escobar-Bermudes

This study examines the relationship between work climate and organizational commitment within a financial institution using a cross-sectional quantitative approach. A total of 200 administrative staff members participated, selected through purposive sampling. Data collection was conducted using validated instruments: the CL-SPC Work Climate Scale and the Organizational Commitment Questionnaire, ensuring robust reliability and validity. Results indicate that specific dimensions of the work climate, such as autonomy, equity, and transparency, are significantly associated with employee engagement and organizational loyalty. Notably, gender differences were observed, with women reporting higher levels of affective commitment compared to men. This research contributes to the literature by addressing these demographic disparities and proposing actionable interventions tailored to enhance workplace dynamics in the financial sector. Practical recommendations emphasize strategies to improve autonomy and transparency while fostering equity to strengthen organizational commitment. These findings provide valuable insights for managers and decision-makers aiming to create inclusive and supportive work environments.

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Learning Service: Transforming Secondary Education

2024 , Núñez-Naranjo, Aracelly Fernanda , Erika Urgilez , Marco Pérez-Narváez , Diego Escobar-Bermudes

This study investigates the impact of Learning Service on the teaching-learning process and the academic development of second-year high school students at the Ecuadorian Dutch Educational Unit during the academic year 2023-2024. A quantitative and descriptive approach was employed, using surveys and academic performance evaluations. The results show a significant improvement in students' cognitive and psychosocial development, supported by a positive perception of teachers regarding the effectiveness of Learning Service. The conclusions highlight the importance of integrating innovative educational strategies that promote meaningful learning and students' social engagement. Increased implementation of Learning Service in the school curriculum is recommended to strengthen students' social and cognitive skills

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Governance and subjective well-being in the Countries of the Andean Community (CAN)

2024 , Núñez-Naranjo, Aracelly Fernanda , Ximena Morales-Urrutia , Ariel Martínez-Jumbo

This study presents an analysis of the relationship between governance and subjective well-being in the Andean Community of Nations. The analyzed data is sourced from the World Values Survey of Wave 7. A quantitative approach was employed to investigate perceptions and political attitudes in the region. It highlights a positive, albeit slight, connection between subjective well-being and governmental trust, along with the positive influence of perception on wealth redistribution in well-being. Despite receiving subsidies, the unemployed consistently exhibit lower satisfaction levels. Significant associations were identified between governmental trust and opinions on wealth redistribution and surveillance. Additionally, political interest is positively correlated with the preference for men to excel in politics, indicating disparities in attitudes toward gender equality. These findings underscore the complex interaction between governance, well-being, and political perceptions in the Andean region.

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Validation of a teaching model instrument for university education in Ecuador through an artificial intelligence algorithm

2025 , Jenniffer Sobeida Moreira-Choez , Tibisay Milene Lamus de Rodríguez , Núñez-Naranjo, Aracelly Fernanda , Ángel Ramón Sabando-García , María Belén Reinoso-Ávalos , Cynthia Michel Olguín-Martínez , Daniel Omar Nieves-Lizárraga , Julieta Elizabeth Salazar-Echeagaray

Introduction: In the context of university education in Ecuador, the application of Artificial Intelligence (AI) for the assessment and adaptation of teaching models marks significant progress toward enhancing educational quality. The integration of AI into pedagogical processes is increasingly recognized as a strategic component for fostering innovation and improving instructional outcomes in higher education. Methods: This study focused on the validation of an AI-based instrument, specifically designed for the evaluation and adaptation of pedagogical strategies in the Ecuadorian university environment. A quantitative methodology was adopted, employing multivariate statistical analyses and structural equation modeling (SEM) to examine the internal consistency, construct validity, and interrelations among various didactic dimensions. The instrument was applied to a statistically representative sample of university professors across both undergraduate and graduate levels. Results: The statistical analysis demonstrated high levels of internal consistency and discriminative validity among the constructs representing different teaching models. The confirmatory factor analysis and SEM procedures verified the adequacy of the theoretical structure and the robustness of the proposed measurement model. Coefficients obtained for reliability and model fit met or exceeded established thresholds in educational research. Discussion: The findings confirm the empirical soundness of the AI-based instrument and support the feasibility of using such tools to assess and enhance teaching models in higher education. These results underscore the importance of adopting innovative, data-driven methodologies that respond to the demands of contemporary educational environments. Furthermore, the use of AI in the validation process enables a more precise interpretation of educational information, reinforcing the relevance of AI-supported models in optimizing teaching and learning processes.

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The Natural Environment and Investment in Economic Growth: From the Perspective of the Prosperity of Developed and Developing Countries

2025 , Ximena Morales-Urrutia , Núñez-Naranjo, Aracelly Fernanda , Rubén Nogales-Portero , Evelin Yanez-Toapanta

This research aims to identify the environmental factors that affect economic growth in developed and developing countries using a panel data regression model. In advanced economies, restrictions on international investment, emissions, the use of natural resources, and environmental preservation efforts stand out as influential variables. In contrast, in developing countries, contract enforcement, emissions, and exposure to air pollution are key determinants of economic performance. This study concludes that the natural environment plays a more significant role in the economic growth of developed countries, due to their greater capacity to implement sustainability policies. In developing countries, institutional conditions and environmental management are more relevant, highlighting the need to strengthen legal frameworks and invest in mitigation measures to achieve sustainable economic development.

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Critical thinking and AI: Enhancing history teaching through ChatGPT simulations

2025 , Santamaría Velasco, Juan Pablo , Núñez-Naranjo, Aracelly Fernanda , Ximena Morales-Urrutia

This work investigates the incorporation of ChatGPT into history education to enhance critical thinking and promote student engagement. A qualitative research design was utilized in this study. The interactions of 40 students with ChatGPT, which mimicked conversations with Simón Bolívar, were examined. Thematic content analysis was used to assess these interactions. The results demonstrate significant progress in students' critical thinking skills, understanding of history, and overall participation. Students exhibited enhanced analytical capabilities and a deeper comprehension of historical events, particularly related to the concept of sustainable development. The results indicate that ChatGPT serves as a valuable resource for enhancing history education. Through the promotion of critical thinking and involvement, it contributes to the development of creative and inclusive educational settings. This research offers a detailed examination of the educational potential inherent in artificial intelligence, highlighting its capacity to revolutionize conventional history teaching methods and equip learners with the skills necessary to confront global challenges.

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The role of intangible metrics in achieving sustainable development goals

2025 , Núñez-Naranjo, Aracelly Fernanda , Ana Córdova-Pacheco , Santiago Chicaiza-Moreta

The fulfillment of the Sustainable Development Goals at a global level must be approached from the perspective of human, structural and employee capital, because their fulfillment stems from the productivity that stands out in the observation of intangible metrics. The research focuses on investigating how intangible metrics contribute to the financial performance of companies listed on the Quito Stock Exchange (BVQ), as well as determining how SDG 8 (Decent Work and Economic Growth) and SDG 9 (Industry, Innovation and Infrastructure) are affected by the results of the measurement of intangible metrics. Sixty-seven companies are considered which have been studied in the calculation of the Value-Added Intellectual Value (VAIC), to evaluate the intangible metrics on the other hand the calculation of return on assets (ROA) and return on equity (ROE). Results show that capital employed, and structural capital have an impact on profitability (ROA) and (ROE), however, human capital did not have an effect on the variable. It can be concluded that the importance of inquiring about structural capital and capital employed in the performance of companies is emphasized, since this contributes to the fulfillment of sustainability, which are contributing to the fulfillment of the (SDGs).

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Determining of university desertion: survival analysis

2022 , Núñez-Naranjo, Aracelly Fernanda

University desertion is the subject of analysis by several authors over the years. The different causes for which a student abandons his studies and the ways to reduce it, entail the interest of the study. The research was positive with a quantitative approach. The data collection was carried out through a survey, and an observation sheet to the student’s files, we proceeded with the analysis of the Kaplan Meier survival curve, on a base made up of 1078 undergraduate students enrolled in the first semester. in 2014 with follow-up to 2019. It is concluded that the existing university dropout factors are personal and social. The incident variables are age, gender, marital status, region, school, family, venue, modality, homologation, and career. There are no significant differences in ethnicity, school, age and quintile, averages. © 2022, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.

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