Ramos Galarza, Carlos
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Preferred name
Ramos Galarza, Carlos
Main Affiliation
Quito
Email
carlosramos@uti.edu.ec
ORCID
Scopus Author ID
57219164869

Research Output
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Publication

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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Advancements in Assistive Robotics: A Systematic Review of Inclusive Technologies for People With Disabilities

2025 , Zapata, Mireya , Diego Guevara , Jennifer Obregón , Arias Flores, Hugo Patricio , Ramos Galarza, Carlos

According to the World Health Organization, approximately 16% of the global population lives with some form of disability, be it physical, sensory, intellectual, or psychosocial. Individuals with disabilities face numerous challenges related to mobility, communication, access to education, and other essential aspects of daily life. In this context, robotic technologies have emerged as innovative solutions aimed at improving autonomy, rehabilitation, and social inclusion. The aim of this systematic review was to identify and synthesize the scientific evidence on robotic technologies developed to support people with disabilities. More specifically, the review sought to analyze the temporal and geographical distribution of research, classify the types of robotic technologies and their applications, examine methodological characteristics and participant demographics, and highlight the key contributions and gaps reported in the included studies. Following PRISMA guidelines, a comprehensive search was conducted in Scopus, PubMed, and IEEE Xplore. From an initial pool of 6,290 articles, 89 studies met the inclusion criteria and were analyzed. The results were categorized into five main themes: publication trends, types of robotic technologies and applications, methodological characteristics, participant demographics, and key contributions. The findings reveal a strong concentration of research on articulated robots for physical disabilities, alongside limited exploration of intellectual, sensory, and psychosocial contexts. While robotic interventions demonstrate significant potential for rehabilitation and daily assistance, challenges remain regarding sample sizes, diversity of disabilities addressed, and long-term validation studies. This review contributes to a deeper understanding of the state of the art in assistive robotics and identifies future research directions to enhance inclusion, accessibility, and clinical integration

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