Facultad de Ciencias de la Educación

Parent Organisation

Universidad Indoamérica

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Chemical profiling and cholinesterase inhibitory activity of five phaedranassa herb. (amaryllidaceae) species from ecuador
(2020)
Moreno R.
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Tallini L.R.
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Castillo Salazar, David Ricardo
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Osorio E.H.
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Montero E.
It is estimated that 50 million people in the world live with dementia, 60-70% of whom suffer from Alzheimer's disease (AD). Different factors are involved in the development of AD, including a reduction in the cholinergic neurotransmission level. The Amaryllidaceae plant family contains an exclusive, large, and still understudied alkaloid group characterized by a singular skeleton arrangement and a broad spectrum of biological activities. The chemistry and biodiversity of Ecuadorian representatives of the Phaedranassa genus (Amaryllidaceae) have not been widely studied. In this work, five Ecuadorian Phaedranassa species were examined in vitro for their activity towards the enzymes acetyl- (AChE) and butyrylcholinesterase (BuChE), and the alkaloid profile of bulb extracts was analyzed by GC-MS. The species Phaedranassa cuencana and Phaedranassa dubia showed the most AChE and BuChE inhibitory activity, respectively. To obtain insight into the potential role of the identified alkaloids in these inhibitory effects, docking experiments were carried out, and cantabricine showed in silico inhibitory activity against both cholinesterase structures. Our results show that Amaryllidaceae species from Ecuador are a potential source of new drugs for the palliative treatment of AD. © 2020 by the authors.
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Development of Behavior Profile of Users with Visual Impairment
(2020)
Guevara Maldonado, César Byron
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Arias Flores, Hugo Patricio
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Varela Aldas, José
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Castillo Salazar, David Ricardo
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Borja M.
The interaction of the user with visual impairment with assistive technologies, and in particular with screen readers, generates a group of actions and events during their navigation. These interactions are defined as behavioral patterns, which have a sequence that occurs at specific time slot. Understanding user behavior by analyzing their interaction with applications, in addition, details the characteristics, relationships, structures and functions of the sequence of actions in a specific application domain. The objective of this document is to find activity patterns from a set of commands used by the user, combining data mining and a Bayesian model. This model calculates the probability of the functions used with the screen reader and generates a behavior profile to improve the user experience. For this study, the screen reader JAWS version 2018, the Open Journal Systems platform version 3.0.1 and a computer with Windows 10 operating system were used. During the first phase, command history used by the user by interacting with the Open Journal Systems platform were collected. The result is that the accessibility of users with visual impairment to interact with the computer and its applications has been improved by applying this model. © Springer Nature Switzerland AG 2020.
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Improving PV Power Prediction Based on GRU and Meteorological Factors
(2026)
Cumbajín Alferez, Myriam
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Ruxandra Stoean
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José Aguado
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Gonzalo Joya
The gradual integration of renewable solar energy sources represents a major step toward sustainability, which is why the main objective of this study is to design an optimized GRU architecture for hourly prediction of photovoltaic generation, considering both single-step and multi-step forecasting. A recurrent neural network with a four-layer GRU structure was implemented, selected after a comparative validation process in which different depths were evaluated. This configuration balanced accuracy, stability, and generalization capacity, improving the model’s ability to capture complex relationships between the endogenous variable (photovoltaic generation) and a set of eight exogenous meteorological variables. This architecture proved robust to different sets of predictors, maintaining consistent performance under different input configurations. The result is a reliable prediction and forecast error for a power generation system with meteorological factors typical of Ibarra, Ecuador. Among the evaluation metrics used, the mean square error decreased by 19.61% and 23.69% for single-step prediction and multi-step forecasting, respectively. Therefore, the GRU model has managed to reduce the error by a moderate percentage, with a significant difference, supported by the evaluation metrics and the Wilcoxon-Mann-Whitney U test, it was possible to reduce the error obtaining a p-value less than 0.05, which represents that the data groups without meteorological factors and the data groups with meteorological factors are statistically different and therefore the error reduction is significant. Through this, it is demonstrated that including eight exogenous attributes reduces prediction and forecasting errors
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Student Perceptions of an AI-Based Assistant for Formative Feedback in Higher Education
(2026)
SOTAMINGA CINILIN, MARCELO JAVIER
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Miguel Ángel Uribe-Laverde
The integration of artificial intelligence (AI) in higher educationHigher education is transforming assessment and feedback practices, yet empirical evidence from Latin America remains scarce. This study examines students’ perceptions of an AI-based assistant (ChatGPT) for formative feedbackFormative feedback and assessment in an undergraduate instructional design course in Ecuador. Using a mixed-methods design, results show high levels of Perceived Usefulness, Ease of Use, and Motivational Value, while concerns emerged regarding transparencyTransparency, privacy, and equitable access. Students valued the immediacy and objectivity of AI-generated feedback but emphasized the need for clearer grading criteria and continued human mediation. These findings provide one of the first regional contributions to understanding the role of AI-based assistants in higher educationHigher education, underscoring their potential to complement traditional feedback in resource-constrained environments while highlighting ethical and practical challenges that must be addressed for equitable adoption. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
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Learning Natural Science Through Interactive Resources
(2025)
Becerra García, Eulalia
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Yánez Rueda, Hugo
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Mora Rosales, José
Learning Natural Sciences through interactive resources enhances the understanding of complex concepts by offering visual and hands-on experiences. These tools allow students to explore natural phenomena, perform simulated experiments and visualize processes invisible in real life. Objective: Examine how interactive tools influence the retention of complex natural science concepts. Methodology: It follows a positivist paradigm, with a quantitative approach, a field study and a sample of 60 elementary school students to whom a questionnaire was applied to measure knowledge before and after applying the interactive resources. Results: A course was created within the Moodle virtual learning environment focused on improving the learning of Natural Sciences with interactive resources elaborated in the technological tools: powtoon, Phet Interactive Simulations and H5p Interactive with selected topics of natural sciences based on their pedagogical relevance and the capacity of concepts to be exploited with interactive simulators. Conclusions: Interactive resources were developed to improve natural science learning, with technological tools that made the contents more interactive, visual and accessible.
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Editorial Design Based on User Experience Design
(2020)
Borja Galeas, Carlos
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Guevara Maldonado, César Byron
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Castillo Salazar, David Ricardo
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Arias Flores, Hugo Patricio
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Fierro-Saltos, W.
This research deals with editorial design based on user experience design. The traditional editorial design has had to adapt to the new digital media composition, where multimedia audiovisual elements unthinkable a few years ago need to be integrated. The participation of the reader, as an external observer who only receives information through texts and images, now has new scenarios in which he can actively participate and decide what will come to his hands. In this study, a work methodology based on UxD User Experience Design is presented, in which will generate the editorial design of an educational book on environmental issues, which includes augmented reality for children from 6 to 8 years of age. The aim of this study is to know if an editorial product with augmented reality and developed from the user experience design can improve meaningful learning in a playful and active way. For its development, a composition model based on the Fibonacci sequence and the golden ratio will be used. Additionally, its graphic composition will be guided by the Massimo Vignelli canon and will be complemented by the reticular model of Beth Tondreau. The augmented reality markers position will also be based on the composition model previously mentioned, which will allow keeping the attention of the reader in the printed document and in the augmented reality animations. The user experience design will be applied with teachers, parents and students from 4 schools in Quito and Ambato. Once the production is completed, the impact on teaching-learning process will be evaluated with a control and a test group, and the methodology with which they will work in the classroom with the educational material developed will be defined. At the end of the study, copies of the book will be delivered to the participating schools of this research for its implementation. © Springer Nature Switzerland AG 2020.
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Technological Pedagogical Strategies in the Improvement of Basic Functions and Management of Mathematical Operations
(2024)
Núñez-Naranjo, Aracelly Fernanda
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Mora Rosales, José
This study aimed to analyze the contribution of techno-pedagogical strategies in strengthening mastery in mathematical multiplication with students at the basic elementary level in Ecuador. The post-positivist paradigm, quantitative approach, quasi-experimental and comparative design was used, with pre-test and post-test to 4 groups (A, N, B and G) of 30 students each. The first A was the control and the remaining three N, B and G, the experimental ones. During the pre-test, the groups received training through demonstration strategies in the classroom, exercises and teamwork, evaluated with a knowledge test of ten exercises with true and false options. The following week (post-test), group A received reinforcement with the same strategies, while the others received it simultaneously in separate classrooms, with different teachers, using technological strategies based on the tools Nearpod, Blooket and Genially, to be evaluated again using the same strategy. The results indicate that for group A, there were no significant differences between the median scores (p ≥ 0.05) while, in the remaining groups, a significant improvement was observed (p = 0.000), where group B, using the Blooket resource, reflected a greater increase in the median score. It is concluded that these resources can be integrated as pedagogical strategies and significantly favor the mastery of the basic mathematical function in multiplication and specifically with the use of Blooket, highlighting the importance of technological innovation in educational training.
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Proposal of a theoretical-practical evaluation model for the accreditation of university courses in Ecuador
(2024)
Dillon Pérez, Francisco
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Rojas, David
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Espinosa, Diana
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Jiménez, Silvia Aguirre
The objective of this research work was to design a theoretical-practical model for evaluating university courses for accreditation purposes. The paradigm used was mixed (quali-quantitative) of a descriptive, explanatory, exploratory and correlational type; interpretive in nature and focused on action research. Furthermore, to support the construction of the proposed model, bibliographic, documentary and field analysis processes were used. One of the main conclusions obtained because of the research process has allowed us to determine that the approach of this model could help improve the designs of the different academic careers and programs at a macro, meso and micro curricular level for accreditation purposes, also allowing in this way, comply with the evaluation parameters established by the Ecuadorian university higher education control bodies.
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Impact of E-Learning on Literacy Learning in the New Academic Normality
(2024)
Freire Pazmiño, Julio
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Chacón-Castro M.
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Chacon-Rangel J.G.
The research of this topic is important at national and international level because it analyzes what happened on March 11, 2020, date on which the World Health Organization declares the coronavirus pandemic; in the same declaration several actions such as forced confinement, social distancing and paralysis of face-to-face activities around the world are provoked. Education was not the exception, challenges were created to comply with academic tasks of all kinds; unfortunately, it was expected that certain areas of education would face great difficulties such as the process of reading and writing. This research visualizes the process of teaching and learning of literacy in virtual education during the new academic normality, diagnoses the process of training and acquisition of knowledge virtually during the pandemic, determines the predominant difficulties of literacy in post-pandemic and analyzes the impact of virtual education during the pandemic. From the qualitative method, it is possible to assess the impact of educational learning on students at the national level through three phases: Phase 1 establishes a diagnosis of the virtual teaching of literacy, Phase 2 determines the predominant difficulties of literacy in post pandemic, and finally, Phase 3 analyzes the impact of virtual teaching during the pandemic. With respect to the above, the data collection instruments applied to 120 basic education students of a public institution in Ecuador were validated through external peer review. The results obtained are the diagnosis of virtual teaching during the COVID 19 pandemic, predominant difficulties of reading and writing in post pandemic, analysis of the reeducation of reading and writing in post pandemic. Finally, the results were socialized with the teachers in order to support the educational processes in literacy. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
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Narrative as a Key Element for Learning Through Videos
(2023)
Salvador P.
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Cobos, Miguel
This article explores the role of narrative in video-based learning and its impact on comprehension. The authors conducted a mixed research study, combining qualitative and quantitative analyses, to determine the influence of narrative on students' comprehension of educational videos. Several videos were selected and presented to students from different disciplines, and their comprehension and perception was assessed using questionnaires and observational techniques. The analysis focused on identifying narrative elements in the videos and assessing their presence and impact on students' comprehension. The results showed that videos with a stronger narrative structure had higher levels of comprehension among students. In addition, factors such as video length, content type, video type, and language also influenced comprehension. These results highlight the importance of incorporating narrative techniques, such as story arc and character development, into educational videos to improve learning outcomes. The study underscores the potential of videos as effective educational resources that stimulate critical thinking and provide a more dynamic and meaningful learning experience. © 2023 IEEE.
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