Ramos Galarza, Carlos
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Ramos Galarza, Carlos
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Quito
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carlosramos@uti.edu.ec
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Scopus Author ID
57219164869

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Technological Innovation to Assess Cognitive Functions in Attention Deficit Hyperactivity Disorder

2021 , Ramos Galarza, Carlos , Acosta-Rodas M. , Acosta-Vargas P. , Salvador-Ullauri L.

The development of a neuropsychological assessment procedure through a technological platform for children with ADHD. This platform is based on Python programming language, where stimuli have been inserted and, to which, children evaluated must respond freely (letters P), and others to which must inhibit his/her responses (letters R), using an adapted button box (greater attraction for children with ADHD). Variables of interest to the clinician are (a) number of responses to impulse control stimuli, (b) total time of execution of the task, (c) time in milliseconds from the moment when the stimulus is presented until getting a response from the child, and (d) total answers made. This study was applied in children with ADHD versus children without the disorder, finding that children with ADHD presented a mean error of M = 5.05 while children without ADHD M = 3.42. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Implementation of Virtual Learning Objects in the Development of Mathematical Skills: A Qualitative Analysis from the Student Experience

2021 , Cóndor-Herrera, Omar , Ramos Galarza, Carlos , Acosta-Rodas P.

This article reports a research of a qualitative methodology that analyzed narratives of students aged between 10 and 14 years old, who received a learning technological program based on Virtual Learning Objects. As results, it was found that the program applied propitiate significant willingness, happiness, motivation, and innovation towards learning mathematics. There is discussed about the need of the implementation of this methodology in benefit of learning mathematics. © 2021, Springer Nature Switzerland AG.

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Factorial Structure of the EOCL-1 Scale to Assess Executive Functions

2021 , Ramos Galarza, Carlos , Cruz Cárdenas, Jorge , Bolaños-Pasquel M. , Acosta-Rodas P.

The process of assessing executive functions through behavioral observation scales is still under theoretical and empirical construction. This article reports on the analysis of the factorial structure of the EOCL-1 scale that assesses executive functions, as proposed by the theory developed by Luria, which has not been previously considered in this type of evaluation. In this scale, the executive functions taken into account are error correction, internal behavioral and cognition regulatory language, limbic system conscious regulation, decision making, future consideration of consequences of actions, goal-directed behavior, inhibitory control of automatic responses, creation of new behavioral repertoires, and cognitive–behavioral activity verification. A variety of validity and reliability analyses were carried out, with the following results: (a) an adequate internal consistency level of executive functions between α = 0.70 and α = 0.83, (b) significant convergent validity with a scale that assesses frontal deficits between r = −0.07 and r = 0.28, and (c) the scale’s construct validity that proposes a model with an executive central factor comparative fit index (CFI) = 0.93, root mean square error of approximation (RMSEA) = 0.04 (LO.04 and HI.04), standardized root mean square residual (SRMR) = 0.04, and x2(312) = 789.29, p = 0.001. The findings are discussed based on previous literature reports and in terms of the benefits of using a scale to assess the proposed executive functions. © Copyright © 2021 Ramos-Galarza, Cruz-Cárdenas, Bolaños-Pasquel and Acosta-Rodas.

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Moderator Role of Monitoring in the Inhibitory Control of Adolescents With ADHD

2021 , Ramos Galarza, Carlos , Pérez-Salas C.

Objective: The aim of this research was to analyze the role of monitoring in the causal relationship between inhibitory control and symptoms of combined ADHD. Method: It has been conducted a quantitative investigation of two phases. Results: In the first study, a moderation model was analyzed (N = 144 adolescents with combined ADHD), where monitoring was considered as a moderating variable in the causal relationship between the inhibitory control and the symptomatology of ADHD F(3, 140) = 28.03, p <.001; R2 =.37. In the second study, the model through an experimental study was tested (N = 52 adolescents with and without ADHD) where it was found that adolescents with ADHD improve in their inhibitory control when they receive external support to the monitoring F(1, 50) = 21.38, p <.001, η2 =.30. Conclusion: Results suggest that monitoring compensates the poor performance of inhibitory control in adolescents with ADHD, which is a contribution to the theoretical construction of ADHD and to the treatments proposed for this condition because it goes beyond the classic conception of a causality chain among the deficit of inhibitory control and ADHD symptomatology to propose a new explanation about this disorder, where neuropsychology intervention of monitoring would diminish ADHD’s symptomatology impact on adolescents. © ©The Author(s) 2018.

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Drivers for the Intention to Buy Wearables in a Latin American Country

2025 , Cruz Cárdenas, Jorge , Andrés Palacio-Fierro , Ramos Galarza, Carlos , Guacyra Nascimento-Queiroz

The daily conduct of millions of people worldwide demonstrates the profound impact of technology on contemporary civilization. Wearables are a prominent example of this transformation. Due to their significance, companies in this sector are considering nearly tripling their sales of these devices by 2028. However, understanding the factors that influence user adoption has become crucial. Most studies have been conducted in developed countries, so this research aims to explore these factors in a developing country to determine if there are differences compared to developed nations. The study uses a personal survey with a sample of 360 individuals and employs a multiple approach for the prediction model. Results show that an innovative attitude and hedonic motivation are key drivers in predicting the intention to buy wearable technology devices. The main conclusion of this study is that certain factors do not contribute to explaining the intention to purchase wearables in developing countries, as they do in higher-income nations. This finding suggests a need to adjust marketing strategies to better target Latin American markets

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Enhancing mathematics learning with 3D augmented reality escape room

2024 , Zapata, Mireya , Ramos Galarza, Carlos , Valencia-Aragón, Kevin , Lidia Guachi

Learning mathematics is a challenge for many students, especially because of the traditionalist method with which its contents are taught. To a large extent, mathematics classes generate little motivation in students, so in this research, a novel technological method based on augmented reality is applied to improve the mathematics learning process, particularly the techniques of solving systems of linear equations. The research design used was a two-phase mixed sequential confirmatory type. The research worked with a sample of 65 students (Mage=17.72, SD=0.65; 58.5% female and 41.5% male). In the first phase, a quasi-experimental study was designed with an experimental group (M=32) and a control group (M=33). The experimental group received a mathematics teaching and learning intervention based on augmented reality vs. the control group, which received a traditional educational process. The experimental group showed improvements in acquired knowledge and motivation compared to the control group students. In the qualitative phase, two focus groups were conducted with students from their respective groups. In the experimental group, the following categories were identified: interesting, fun, innovative, and entertaining. The control group identified the following categories: little attention, low interest in learning, tired knowledge, and lack of motivation. The results are discussed in relation to the need to generate educational processes that benefit mathematics learning

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Technological Intervention Through the Virtual Assistant Alexa in the Development of Linguistic Skills of a New Language

2021 , Cóndor-Herrera, Omar , Jadán Guerrero, Janio , Acosta Rodas P. , Ramos Galarza, Carlos

Nowadays, technological advances have made possible the constant innovation of education, adding resources, tools, and technological devices that are rapidly updated, and improved, is in this scenario where it is proposed to take advantage of the benefits that technology offers, plus the set of informatic abilities that current students have developed from early stages, in benefit of education, since these abilities make easier for teachers to introduce tools, and technological devices into the teaching-learning process. The present research consisted on a technological intervention using the virtual assistant Alexa, with the aim of working on linguistic abilities to learn a new language. The study was conducted with a sample of 32 children aged between 9 and 12 years old. The procedure consisted in the application of an initial assessment (pre-test), then, along 6 weeks an intervention based on the application of Alexa virtual assistant was made, and, at the end of the intervention, a post-test was applied. The intervention focused on four abilities: vocabulary, comprehension of English language, communication skills, and skills of meaning. As results, in vocabulary, there were found statistically significant differences between the pre (M = 4.06), and post-test (M = 7.19); in the comprehension of English language, pre (M = 2.38), and post-test (M = 3.47); regarding communication skills, pre (M = 2.28), and post-test (M = 3.09); and, in skills of meaning, the mean obtained in the pre-test was (M = 3.31), and post-test (M = 4.66); these results contribute with empirical evidence about the improvement in learning a new language. From this research, it is proposed to continue using, and discovering the benefits of different innovations in educative context. © 2021, Springer Nature Switzerland AG.

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Cognitive and emotional predictors of self-regulated learning: a structural model based on executive functions, learning strategies, and sense of coherence

2025 , Ramos Galarza, Carlos , Jennifer Obregón , Nancy Lepe-Martínez , Milenko Del Valle , Brenda Guerrero-Tates , Cruz Cárdenas, Jorge

Self-Regulated Learning (SRL) is a complex process that enables university students to consciously manage their learning and achieve strong academic performance throughout their academic career. This process is influenced by various factors, particularly within the cognitive and emotional domains. Specifically, SRL is shaped by variables such as Executive Functions, Sense of Coherence, and Learning Management Strategies. In this study, we hypothesized that Conscious Monitoring of Responsibilities, Supervisory Attentional System, Deliberate Emotion Regulation, Manageability, Meaningfulness, and Conscious Motivational Strategies contribute significantly to the variance observed in SRL. Two explanatory models were proposed to represent the dynamic relationships among these variables. The study involved a sample of 1316 university students from two Latin American countries: Chile (n = 631, Mage=20.18, SD=2.06) and Ecuador (n = 685, Mage=20.71, SD=1.99). Three scales were used to assess the variables included in the models, each demonstrating acceptable to strong internal consistency (α=0.70 to 0.85). The results revealed moderate to strong correlations among the variables (r = 0.27 to 0.64). The explained variance of SRL was 24% for the emotional and 30% for the cognitive dimensions. Both proposed models demonstrated adequate fit indices (CFI=0.96, RMSEA=0.05, SRMR=0.04), supporting the structural validity of the models. These findings suggest that SRL is the result of a complex interaction between cognitive and emotional factors. The models proposed in this study offer a valuable foundation for the development of targeted interventions aimed at enhancing SRL in university students and, consequently, improving their academic performance

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Interactive Model of Executive Functions to Understand Error Correction

2022 , Ramos Galarza, Carlos , Cruz Cárdenas, Jorge , Ramos V.

This article reports an investigation aimed at analyzing an interactive model of executive functions, which seeks to explain the process followed by human beings to correct their mistakes. The method followed was an analysis based on structural equations, considering the maximum likelihood process around a model that considered six executive functions. We worked with a randomized sample of 771 subjects (mean age = 39.86, SD = 15.47; 50.5%, women, 50.50%). The findings suggest that error correction is a complex executive function as it is the product of the internal language capacity that regulates behavior and cognition, adequate regulation of the limbic system, adequate decision-making, and control of automatic impulses, determining how to act and verify the thoughts and behavior of the subject. The contribution of the proposed theoretical model lies in understanding the process by which human beings manage to correct errors. In addition, how this explanatory model could help neuropsychological intervention processes to work on this cognitive ability in individuals with difficulties in correcting errors. © 2022 by the authors. Licensee ESJ, Italy.

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Drivers of technology readiness and motivations for consumption in explaining the tendency of consumers to use technology-based services

2021 , Cruz Cárdenas, Jorge , Guadalupe-Lanas, Jorge , Ramos Galarza, Carlos , Palacio-Fierro A.

This study aimed to identify the way in which the optimism and innovativeness of consumers (drivers of technology readiness) affect their tendency to use technology-based services, an area that merits additional research. The study was conducted in two phases in Quito, Ecuador. In the first phase, three services were selected to be studied: online shopping, online banking, and online music streaming. In the second phase, the hypotheses were tested with a random sample of 754 adults. The results were consistent in the three structural equation models (one for each service). Optimism acts indirectly, through the mediation of hedonic and utilitarian motivations. Innovativeness acts through a similar indirect channel, but it also acts directly. One of the marketing implications of this study is that simply concentrating on consumer attitudes towards technology is not enough, since it is necessary to consider their indirect effects on the tendency to use a service. © 2020 Elsevier Inc.

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