Castillo Salazar, David Ricardo
Preferred name
Castillo Salazar, David Ricardo
Main Affiliation
Ambato
Email
davidcastillo@uti.edu.ec
Scopus Author ID
57210800584
16 results
Now showing 1 - 10 of 16
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Item type:Publication, Impact of Machine Learning on the Development of Mathematical Operations Using Scratch(2025); ; ; Darío Castillo SalazarThis research focused on analyzing the impact of Machine Learning (ML) applied through the Scratch platform on the development of mathematical operations in secondary school students. The quantitative, descriptive, and field-based study was conducted with a sample of 30 students from public schools in educational zone three. A survey technique was used with a questionnaire validated by education experts, and the instrument’s reliability was measured with a Cronbach’s Alpha of 0.89. The results obtained from pretest and posttest, as well as the application of the t-student test and ANOVA analysis, demonstrated that the experimental group, which used Scratch with ML, showed significant improvements in their mathematical performance compared to the control group. Additionally, the impact analysis based on Cohen’s D revealed a considerable effect on academic performance, reinforcing the effectiveness of the proposal. These findings not only highlight the importance of incorporating emerging technologies in education but also suggest that the use of interactive and adaptive approaches can optimize the learning of mathematics. The research concludes that integrating ML and Scratch in mathematics education is an effective tool for enhancing students’ understanding and developing critical skills11 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Chemical profiling and cholinesterase inhibitory activity of five phaedranassa herb. (amaryllidaceae) species from ecuador(2020); 29 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Development of Behavior Profile of Users with Visual Impairment(2020); ; ; ; 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 2020.20 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Editorial Design Based on User Experience Design(2020); ; ; ; 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 2020.38 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Small Robotic Step for the Therapeutic Treatment of Mental Illnesses: First Round(2020); 39 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Detection and Classification of Facial Features Through the Use of Convolutional Neural Networks (CNN) in Alzheimer PatientsIn recent years, the widespread use of artificial neural networks in the field of image processing has been of vital relevance to research. The main objective of this research work is to present an effective and efficient method for the detection of eyes, nose and lips in images that include faces of Alzheimer’s patients. The methods to be used are based on the extraction of deep features from a well-designed convolutional neural network (CNN). The result focuses on the processing and detection of facial features of people with and without Alzheimer’s disease. © Springer Nature Switzerland AG 2020.28 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Application of Machine Learning for the Development of Logical-Mathematical Thinking in Basic Education Students(2025); ; ; Dario Castillo SalazarThe research involves upper basic education students in arguments related to Scratch software, focusing on teaching mathematics from the perspective of the theory that suggests learners construct their own knowledge through experience and reflection. Using Scratch and artificial intelligence processes to generate projects promotes active and meaningful learning. From this perspective, the goal is for students to develop logical-mathematical thinking, which is essential for analyzing, evaluating, and effectively applying information, thereby strengthening creativity and problem-solving skills centered on knowledge assessment. This approach allows for the application of theoretical and practical AI in educational software applications. The results indicate that mathematical competencies improve with the use of Scratch software. Additionally, the research identifies students’ skills and interest in the potential of AI technologies to enhance the understanding of computational mathematical concepts. The research concludes that the integration of the AI module in Scratch strengthens mathematical competencies in the field of education26 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Autonomous Learning Mediated by Digital Technology Processes in Higher Education: A Systematic Review(2020); The concept of autonomous learning has been resignified in recent years as a result of the expansion of the different types of study. Online education in higher education institutions has become an effective option to increase and diversify opportunities for access and learning, however, high rates of dropout, reprisal and low averages still persist. academic performance. Recent research shows that the problem is accentuated because most students have difficulty self-regulating their own learning process autonomously. From this perspective, the purpose of the study was to examine and analyze, through a systematic review of the literature, on autonomous/self-regulated learning, theoretical models and determine which variables influence a learning process mediated by technology processes in the higher education. The findings indicate that: (1) autonomous learning is a synonym of self-regulation; (2) Pintrich’s self-regulatory model is the most used in digital contexts; and (3) the self-regulatory variables identified are wide and varied. © Springer Nature Switzerland AG 2020.38 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Scaffolding quantum entanglement in secondary school: from tangible analogy to computational simulation(2026); 10 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Ontological Model in the Identification of Emotional Aspects in Alzheimer Patients(2023); 29