Centro de Investigación de Ciencias Humanas y de la Educación
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Item type:Publication, Effects of Public Finance Behavior: The Ecuadorian Scenario(Springer Nature Switzerland, 2026); ; The behavior of Ecuador’s public finances is critical to ensuring economic stability and sustainable development. In a context marked by economic crises and fiscal challenges, understanding the effects of fiscal policies is essential for designing strategies that promote growth and social well-being. This research analyzes the recent behavior of Ecuador’s public finances, identifying challenges and opportunities in fiscal management while evaluating the impact of fiscal policies on the economy and society. Using a mixed qualitative and quantitative approach, the study includes a review of prior research, analysis of economic data from government and international organizations, and interviews with public finance officials. The findings reveal significant progress, such as increased tax collection and investments in infrastructure, education, and health. However, persistent issues such as economic informality, inefficiencies in spending, and corruption limit the effectiveness of these efforts. The study emphasizes the need for sustainable fiscal policies, greater transparency, and accountability to foster inclusive growth and reduce reliance on oil exports. In conclusion, Ecuador’s public finance dynamics have a profound impact on the economy and society. Overcoming challenges requires sustained reforms, improved efficiency, and diversified growth strategies to ensure long-term economic resilience and equity. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Green transition and productive structure in Latin America: the role of innovation, finance, and the energy matrix in ALADI countries(Frontiers Media SA, 2026-06-22); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Immersive Digital Twin for Industrial Control Education(Springer Nature Switzerland, 2026-08-15); Culqui-Tipan, JavierThis paper presents the development and implementation of an immersive Digital Twin for industrial control education, conceived as an experiential learning tool that integrates a real industrial control system, a three-dimensional virtual environment, and a real-time communication infrastructure. The proposed approach follows a layered architecture linking a smart tomato greenhouse as the physical process, a Siemens S7-1500 programmable logic controller, a human–machine interface for supervision and variable adjustment, a Unity-based virtual environment for immersive interaction, and an IoT platform for real-time data transmission and remote visualization. The Digital Twin synchronously replicates the physical process, enabling users to analyze the relationship between environmental variables, control decisions, and system response, as well as to identify normal and critical operating conditions. The system was evaluated through an experimental study with twenty undergraduate engineering students, considering usability and learning outcomes. The System Usability Scale yielded an average score of 82.5 (SD = 6.1), indicating high user acceptance. Learning performance, assessed through a test–retest strategy, increased from 55.3 (pre-test) to 76.8 (post-test), corresponding to a mean gain of 21.5 points after two weeks. Statistical analysis confirmed a significant improvement (p < 0.001) with a large effect size, demonstrating the positive impact of the immersive Digital Twin on understanding industrial control systems. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2027. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Gender Barriers, Equity and Social Sustainability in Rural Agriculture: A Structural Equation Modeling Approach from EcuadorGender equity has become a key component of sustainable rural development and socially sustainable agricultural systems. This study examines the relationship between perceived gender barriers, gender equity, and social sustainability in agriculture in Tungurahua Province, Ecuador. A quantitative, non-experimental, cross-sectional design was employed using survey data collected from 930 farmers during 2025. Descriptive analyses were used to assess perceived levels of gender equity and social sustainability, while structural equation modeling was applied to evaluate the relationships among the study constructs. The findings reveal high perceived levels of gender equity (80.3%) and social sustainability (88.3%) among participants. The structural model indicates that perceived gender barriers are significantly associated with gender equity (β = 0.383, p < 0.001), and gender equity is positively associated with social sustainability (β = 0.350, p < 0.001). No significant direct effect of perceived gender barriers on social sustainability was identified. The results suggest that gender equity may represent an important pathway linking perceived gender barriers and social sustainability in rural agricultural systems. These findings highlight the importance of promoting equitable access to productive resources, training opportunities, and leadership participation to strengthen social sustainability and inform gender-responsive rural development policies in Ecuador. © 2026 by the authors. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Impact of AI on Internal Control and Risk Management Systems in Ecuador(Springer Nature Switzerland, 2026); ; The implementation of artificial intelligence in internal control systems has emerged as a key trend in the improvement of organizational management, enabling comprehensive data analysis and effective risk identification, transforming the way organizations monitor and control their operations. The objective is to analyze the perception and use of AI in internal control systems in Ecuador, focusing on its ability to perform advanced data analysis and accurate identification of risk areas. The research methodology employed a mixed approach. A survey was administered to 30 accounting professionals and business people to evaluate the effectiveness of tools for the purpose of improving internal control systems. The results show that AI can identify patterns and anomalies in large volumes of data with higher accuracy than traditional methods. In conclusion, the study provides a comprehensive view of the potential of AI to transform internal control processes, ensuring greater transparency and reliability in organizational management. The predictive capability of AI allows organizations to anticipate and mitigate risks before they materialize. The integration of artificial intelligence in Ecuadorian internal control systems offers significant improvements in the efficiency and effectiveness of risk management with more effective decision making. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Road Drainage Infrastructure Diagnostics and Deficiency Indexing in ENSO-Vulnerable Andean Corridors: A STEM–PjBL Field Assessment(MDPI AG, 2026-05-15); Benavides-Ortega, Leirys MaríaRoad drainage infrastructure in ENSO-vulnerable Andean regions faces compounding threats from climatic variability, geometric inadequacy, and systemic maintenance neglect. This study presents a STEM-integrated Project-Based Learning (PjBL) diagnostic framework applied to 42 road segments along corridors connecting Loja, Ecuador, selected through a purposive-stratified spatial-coverage protocol. Using ArcGIS Survey123, standardised field data were collected on structure presence, geometry, failure modes, and condition across four structure types: crown gutters, road gutters, hydraulic chutes, and culverts. The Composite Drainage Deficiency Index (DDI, 0–100) was derived from five equally weighted binary indicators and validated through Monte Carlo Dirichlet weight-perturbation analysis and jackknife leave-one-out resampling, confirming rank-order invariance to admissible alternative weightings. The results reveal severe systemic deficiencies, including crown gutters absent at 88.1% (95% CI: 75.0–94.8) and road gutters at 81.0% (95% CI: 66.7–90.0) of sites. Every segment exhibited at least one drainage failure (100%; 95% CI: 91.6–100). The DDI identified 73.8% of segments in the High or Critical band (DDI ≥ 60; mean = 60.2 ± 20.4). Hierarchical clustering isolated one geometric outlier whose exclusion altered the aggregate metrics by <1.2%. These findings establish a georeferenced baseline for maintenance prioritisation and validate the methodological reproducibility of academically integrated field protocols for infrastructure diagnostics. © 2026 by the authors. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Predictive Motivations in Satisfaction and Loyalty in Sustainable Coastal and Marine Destinations: Galapagos National Park, Ecuador(MDPI AG, 2026-08-06); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Analysis of Age to First Calving in Ecuadorian Charolais Cattle Using Linear and Survival Models(Springer Nature Switzerland, 2026); Vargas-Jurado, Napo-leónThe Charolais breed has successfully adapted to the Amazonian conditions of Ecuador. The implementation of reproductive and molecular biotechnologies has positioned this breed as the most genetically significant for improvement programs in the region. The objective of this study was to estimate genetic parameters for age at first calving (AFC) under Normal and survival models. Data included animals born between 2010 and 2021, with calving records spanning from 2012 to 2024. The total number of records was 700 after editing. Sire and animal models were considered for the analysis of AFC. The mean AFC was 3.44 years with a standard deviation of 1.19 years. Contemporary group had a significant effect on AFC, but type of cross and multiple ovulation and embryo transfer status had no impact. Under normality assumptions, heritability estimates ranged from 0.17 to 0.21 for sire and animal models, respectively. On the other hand, for the Weibull survival model heritability ranged from 0.45 to 0.74 for sire and animal model, respectively. Estimates for the sire and animal models under Normal assumptions were similar to those reported in literature and thus suggest appropriate model fit. This constitutes an additional step into routine genetic evaluation in Ecuadorian beef cattle. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, IoT Monitoring to Control a Bicycle Parking Lot(2022); 43 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Inclusive education and psychological wellbeing: Support strategies for students in diverse settingsThis study examines the relationship between inclusive education and psychological wellbeing, emphasizing pedagogical and institutional strategies that promote students’ active participation in diverse educational contexts. The purpose of the research is to analyze the main barriers affecting inclusion and emotional wellbeing in school settings and to identify support strategies with the greatest perceived impact on students’ engagement and retention. A qualitative, hermeneutic-interpretative approach was adopted, based on a documentary review of scientific literature published between 2020 and 2025. Peer-reviewed articles, policy documents, and institutional reports were selected from recognized databases such as Scopus, SciELO, ERIC, and IEEE Xplore. The analysis focused on inclusive education, psychological wellbeing, teacher training, socioemotional strategies, and educational policy. The results reveal that the most significant barriers to inclusive education are insufficient teacher training in inclusive and socioemotional practices (reported in 85% of the reviewed studies), the disconnect between pedagogical strategies and students’ psychological needs (78%), and the lack of adaptive educational resources (72%). Additionally, limited emotional support systems and weak institutional policies oriented toward wellbeing contribute to higher levels of demotivation and school dropout, particularly in vulnerable regions. Conversely, strategies such as Social and Emotional Learning (SEL) and Universal Design for Learning (UDL) showed the highest perceived impact, with effectiveness scores of 4.6 and 4.4 out of 5, respectively. The study concludes that inclusive education cannot be achieved without systematically addressing students’ psychological wellbeing. Integrating socioemotional education, strengthening teacher training, and aligning public policies with inclusive and human-centered approaches are essential to fostering equitable, safe, and meaningful learning environments. These findings highlight the need for comprehensive educational models that connect pedagogical, emotional, and institutional dimensions.</jats:p>4