Facultad de Ciencias Sociales y Humanas
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Cognitive Flexibility and Attitude Toward AI: A Correlational Study

2025 , Subia Arellano, Andrés , Pérez Vega, Doris , Rocio Patiño-Fernández , Buele, Jorge

Artificial intelligence plays a leading role across various sectors, underscoring the importance of understanding the individual factors influencing their acceptance. Previous research has pointed out that variables such as age, gender, and cognitive flexibility impact attitudes toward these technologies. However, the interaction among these variables still requires further analysis. This study sought to explore the relationships between cognitive flexibility, age, gender, and attitudes toward artificial intelligence in a sample of 342 participants, with an average age of 26.80 years. Employing a descriptive-correlational design, two scales were used: one to measure cognitive flexibility and another to assess attitudes toward this technology. Due to the lack of normality in the distributions of the variables, Spearman's correlation was used for the analysis. The results show that cognitive flexibility and educational level have a positive and significant relationship with the attitude toward artificial intelligences (r = 0.245, p < 0.001 and r = 0.140, p = 0.009, respectively). On the other hand, age presents a weak negative relationship (r = -0.117, p < 0.05), while no significant relationship was observed with gender. These findings provide an initial basis for understanding individual differences in technology acceptance, although further research is needed to delve into the underlying mechanisms and evaluate other contextual factors.

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Psychological and sociodemographic factors associated with hypoactive sexual desire in Ecuadorian women

2024 , Pérez Vega, Doris , Subia Arellano, Andrés , Buele, Jorge

Introduction: Human sexuality is a multifaceted process, and sexual desire plays a central role in the triphasic model of the sexual response cycle, as proposed by Helen Singer Kaplan. Methods: In this cross-sectional correlational study, we examined the relationship between various sociodemographic factors, such as age and motherhood, and sexual variables, including erotophobia, erotophilia, homophobia, and unconventional sex, with hypoactive sexual desire in women from Quito, Ecuador. The study sample comprised 421 women between the ages of 18 and 50, who were administered the Revised Sexual Opinion Survey and the Inhibited Sexual Desire Scale to assess their sexual attitudes and levels of desire. Results: The findings revealed that age (F = 7.13, p < 0.001) and motherhood (F = 13.72, p < 0.001) had a significant impact on inhibited sexual desire. Furthermore, significant correlations were observed between inhibited sexual desire and age (r = 0.16, p < 0.001), motherhood (r = 0.18, p < 0.001), erotophobia (r = 0.19, p < 0.001), erotophilia (r = −0.21, p < 0.001), and homophobia (r = −0.18, p < 0.001). Discussion: These results suggest that women who are older, mothers, or have higher levels of erotophobia are more likely to experience hypoactive sexual desire. In contrast, higher levels of erotophilia and homophobia were inversely related to hypoactive sexual desire. This contributes to a deeper understanding of how different personal and sexual attitudes influence sexual desire in Ecuadorian women.

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Social Networks, Masculinity and Emotional Intelligence in Men in the City of Quito

2023 , Freire Muñoz, Irina , Jirón Jiménez, Jonathan , Iriarte Pérez, Luis

This study aims to analyze the role played by social networks, as de-territorialized spaces, in the manifestation of emotional intelligence concerning the positioning of hegemonic masculinity among men in Quito. The research design is non-experimental and cross-sectional, using a quantitative method with a descriptive-correlational scope. Two data collection instruments were used, the MASC-1 scale and the Emotional Intelligence Test. The sample consisted of 306 men from the city of Quito. The results were 41,2% each in medium and high positioning on hegemonic masculinity, and 100% of participants use social networks, mainly Facebook, Instagram and WhatsApp. On Emotional Intelligence, there is a high percentage of the Attention Factor and a low percentage in Excellence concerning the demonstration and ability to express emotions. There is a significant correlation between the use of social networks and a more remarkable ability to understand and recognize emotions in the participants. © 2023 IEEE.

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Predicting Academic Performance in Psychology Students from Their Social Skills Using Classification Algorithms

2023 , Espinosa-Pinos C.A. , Vasco-Álvarez M.M. , Cisneros-Bedón J.L. , Labre Tarco, Verónica

The high academic performance of students is the result of several factors, one of them being the development of social skills. Social skills allow students to face different circumstances, such as academic, personal, or professional. Students who develop these skills can quickly adapt to stressful and conflictive situations, generating complete well-being that facilitates learning, reflected in their academic performance. This study is critical because it helps educators identify students at risk of poor academic performance and provide adequate academic support. The research aims to identify predictors of academic performance based on social skills through knowledge discovery in databases (KDD) to clean data using classification algorithms, specifically Random Forest. To collect the data, a sociodemographic form, and the Social Skills Scale (SSS) were applied to 93 students of General Psychology, face-to-face modality, at Indoamerica University. The research results indicate that academic performance predictors are linked to gender and social skills, such as the ability to say no and cut interactions and the expression of states or disagreement. These findings suggest structuring support programs, academic guidance, and social skills development to improve academic performance and future career success. In conclusion, the research provides a new perspective to work in student welfare departments to improve students' academic performance. © 2023 IEEE.

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Family functioning and social network addiction in college students of the city of Quito

2024 , Jirón Jiménez, Jonathan , Freire Muñoz, Irina , Iriarte Pérez, Luis

This research aims to analyze the relationship between family functioning and social network addiction in college students in the city of Quito. The research design is nonexperimental cross-sectional, with a quantitative method and a descriptive - correlative scope. Two data collection instruments are used: 1. Social Networks Addiction Questionnaire (ARS) and 2. Family Functioning Perception Questionnaire (FF-SIL). The sample consisted of 274 college students from the city of Quito. The results were 50% of moderately functional families, in addition to a higher prevalence of students with an 'obsession to be informed' and a 'need/obsession to be connected' with 51.8% and 42.3% respectively. Likewise, there is a statistically significant correlation, directly proportional between family functioning and the 'problem' dimension of social networks addiction.

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Organizational communication in change management: A narrative review

2026 , Taruchaín Pozo, Fernando , Avilés-Castillo, Fátima , Evelyn Cuesta-Andaluz , Buele, Jorge

In an increasingly digital and competitive business landscape, communication practices within organizations are evolving to meet new operational and cultural demands. These shifts have redefined how companies engage with internal and external stakeholders across different levels. Despite the growing importance of communication, many organizations continue to face structural and strategic challenges that hinder effective message delivery and alignment. This review aims to identify key trends, persistent challenges, and the reported benefits of organizational communication, offering a synthesized view of recent academic contributions to the topic. A structured narrative review was conducted using thematic analysis of 52 peer-reviewed studies published in English and Spanish over the last decade. Using thematic analysis, the study identifies prevailing trends, key challenges, and reported benefits within organizational communication in the context of change management. Major trends include the adoption of digital communication tools, personalized messaging, strategic utilization of social media, and the incorporation of storytelling techniques. Challenges highlighted encompass resistance to change, message fragmentation, data security concerns, and information overload. The review also underscores significant benefits such as enhanced decision-making processes, improved stakeholder alignment, innovation facilitation, reputation management, and talent retention. These findings contribute to a comprehensive understanding of the evolving role of communication as a strategic asset in organizational change processes. The study concludes by emphasizing the necessity of integrated, adaptive, and inclusive communication strategies that not only support change initiatives but also foster organizational resilience and competitiveness in dynamic environments. Together, these findings provide a solid foundation for developing more effective communication practices aligned with the current demands of organizational transformation.

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Applying Classification Techniques in Machine Learning to Predict Job Satisfaction of University Professors: A Sociodemographic and Occupational Perspective

2024 , Espinosa Pinos, Carlos Alberto , Acosta Pérez, Paul Bladimir , Camila Alessandra Valarezo-Calero

This article investigates the factors that affect the job satisfaction of university teachers for which 400 teachers from 4 institutions (public and private) in Ecuador were stratified, resulting in a total of 1600 data points collected through online forms. The research was of a cross-sectional design and quantitative and used machine learning techniques of classification and prediction to analyze variables such as ethnic identity, field of knowledge, gender, number of children, job burnout, perceived stress, and occupational risk. The results indicate that the best classification model is neural networks with a precision of 0.7304; the most significant variables for predicting the job satisfaction of university teachers are: the number of children they have, scores related to perceived stress, professional risk, and burnout, province of the university at which the university teacher surveyed works, and city where the teacher works. This is in contrast to marital status, which does not contribute to its prediction. These findings highlight the need for inclusive policies and effective strategies to improve teacher well-being in the university academic environment.

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Impact of Social Networking Use in Youth and the Relationship of Mood States

2024 , Albuja Urvina, María Gabriela

This research has focused on identifying the levels of aggression and irritability observed in a group of young participants due to the use of social networks. Since their beginnings, social networks have captured the attention of several users, with the youngest being those who use them most frequently. This excessive use has generated changes in the habitual behavior of young people and has caused the content they observe to affect their moods significantly. This research carried out with 45 participants shows that although the levels of irritability and aggression are located at low and average levels, it can also be observed that the more time they spend on these networks, the more aggression and irritability increase.

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Design of the Attitudinal Assessment Scale Towards Artificial Intelligence (EVAIA-1)

2023 , Subia Arellano, Andrés , Pérez-Vega D. , Guillen-Garcia S. , Cáceres-Fierro N.

In recent years, the exponential growth of artificial intelligence as a technological tool at the service of human beings has led to an ethical debate about its future implication. The existing instruments to evaluate attitudes towards artificial intelligence have non-specific dimensions and are designed for populations different from the Spanish-speaking. In this sense, it is necessary to have valid, reliable, and contextualized tools to evaluate people's attitudes toward the use of artificial intelligence. Therefore, the present study aimed to develop an attitudinal rating scale for artificial intelligence. There were 604 volunteer participants between 18 and 55 years of age, 311 men and 293 women. Bartlett's test of sphericity showed a significant result (approximate chi-square = 1502. 7862387833S;p <.001), and the Kaiser-Meyer-Olkin test of sample adequacy showed an index of.825. With this, it was considered feasible to factorize the data matrix, and thanks to the factor analysis, three components explain 52.76% of the total rotated variance. In addition, a high internal consistency index was obtained for the 12 items of the inventory (0.768). These findings indicate that the EVAIA-I is a valid and reliable tool to evaluate the attitude towards artificial intelligence in Ecuador and other Latin American countries. © 2023 IEEE.

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Virtual learning environments as an alternative in the teaching of critical medicine

2022 , Dillon F. , Jara F. , Rojas, David , Freire Muñoz, Irina

The general objective of this research work was to determine the feasibility of incorporating EVA as a didactic alternative in the teaching of critical medicine in postgraduate students. The research paradigm was of a propositive critical type with a mixed descriptive, explanatory, and correlational approach. The study population was selected through an intentional sampling for convenience and was made up of 90 students and 23 teachers of the postgraduate degree in Critical Medicine from two private universities in Ecuador. The research instruments used were two multiple-choice surveys with a single response on a Likert scale that, prior to their application, were validated and are reliable. The results obtained made it possible to determine the feasibility of incorporating EVAs in the academic training of critical medicine postgraduate students, thus also allowing the reduction of hospital absence times due to the academic training received virtually. © 2022, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.

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