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, 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, Preprocessing Information from a Data Network for the Detection of User Behavior Patterns(2020); This study focuses on the preprocessing of information for the selection of the most significant characteristics of a network traffic database, recovered from an Ecuadorian institution, using a method of classifying optimal entities and attributes, with the In order to achieve a complete understanding of its real composition to be able to generate patterns and identification of trends of behavior in the network, both of patterns that deviate from normal traffic behavior (intrusive), as well as normal, to detect with high precision possible attacks. Network management tools were used as a multifunctional security server software, as well as pre-processing of data tools for the selection of attributes, as well as the elimination of noise from the instances of the database, It allowed to identify which ins- tances and attributes are correct and contribute with effective information in the study. Among them we have: Greedy Stepwise Algorithm (Algoritmo Voráz), K-Means Algorithm, Discrete Chi-square Attributes and the use of computational models as Evolutionary Neural Networks and Gene Algorithms. © Springer Nature Switzerland AG 2020.30 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Active Methodologies: An Approach to Virtual Teaching in Natural Sciences(2023); Viera Muñoz F.During the training process on Natural Science subject in elementary school, it is important for the student to know, understand, respect, conserve, care for and value nature, the benefits it receives, interact with the environment, recognize the characteristics of each element of nature, its cycles, risks and care. The main objective of this work was to implement active methodologies in the science teaching-learning process. The methodology is based on quantitative methods, non-experimental designs, cross-sectional studies, theoretical, empirical and statistical methods. The technique used was a survey as an instrument and a questionnaire for data collection. A survey was applied to 40 people (students, teachers) of eighth grade, to obtain information on the interventions implemented by teachers. As a result of the survey analysis, the need to renew the essential methodological strategies to improve the teaching-learning process was identified, for which three active methodological strategies were developed for Natural Sciences’ teaching associated with the environment (physical, chemical and environmental). The strategies were designed with creativity, the use of environmental and recycling materials together with technology, each with the following elements: title, materials to be used, procedure, graphic representations and application examples. These active methodological strategies allow students to learn through the development of processes and skills that can be used in a variety of emerging situations and also allow teachers to provide a comprehensive and quality education. Based on the experience of the application of strategies in the area of Natural Sciences as future work in the educational context, it is intended to identify a set of abilities and skills in students in various subjects in order to strengthen teaching methodologies in teachers with the application of new technologies and digital resources that generate a new vision in the field of research. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.35 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Twitter Mining for Multiclass Classification Events of Traffic and Pollution(2020); ; During the last decade social media have generated tons of data, that is the primal information resource for multiple applications. Analyzing this information let us to discover almost immediately unusual situations, such as traffic jumps, traffic accidents, state of the roads, etc. This research proposes an approach for classifying pollution and traffic tweets automatically. Taking advantage of the information in tweets, it evaluates several machine learning supervised algorithms for text classification, where it determines that the support vector machine (SVM) algorithm achieves the highest accuracy value of 85,8% classifying events of traffic and not traffic. Furthermore, to determine the events that correspond to traffic or pollution we perform a multiclass classification. Where we obtain an accuracy of 78.9%. © Springer Nature Switzerland AG 2020.38 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Detection of Student Behavior Profiles Applying Neural Networks and Decision Trees(2020); ; ; Education worldwide is a significant aspect for the development of the peoples and much more in developing countries such as those in Latin America, where less than 22% of its inhabitants have higher education. Research in this field is a matter of interest for each of the governments to improve education policies. Therefore, the analysis of data on the behavior of a student in an educational institution is of utmost importance, because multiple aspects of progress or student dropout rates during their professional training period can be identified. The most important variables to identify the student’s behavior are the socio-economic ones, since the psychological state and the economic deficiencies that the student faces while is studying can be detected. This data provides grades, scholarships, attendance and information on student progress. During the first phase of the study, all the information is analyzed and it is determined which provides relevant data to develop a profile of a student behavior, as well as the pre-processing of the data obtained. In this phase, voracious algorithms are applied for the selection of attributes, such as greedy stepwise, Chi-squared test, Anova, RefiefF, Gain Radio, among others. In this work, we apply the artificial intelligence techniques, the results obtained are compared to generate a normal and unusual behavior of each student according to their professional career. In addition, the most optimal model that has had a higher accuracy percentage, false positive rate, false negative rate and mean squared error in the tests results are determined. © Springer Nature Switzerland AG 2020.45