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https://purl.org/pe-repo/ocde/ford#5.03.01 459 http://purl.org/pe-repo/ocde/ford#5.03.01 179 Rendimiento académico 173 Aprendizaje 108 Gestión 95 http://purl.org/pe-repo/ocde/ford#5.03.00 95 https://purl.org/pe-repo/ocde/ford#2.02.04 50 más ...
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El objetivo de este trabajo de investigación fue como pudimos ver, existen muchas técnicas que pueden ser utilizadas por los docentes, para la mejor aprendizaje de los alumnos de los diferentes idiomas, así como adaptarse a las mejores método para llevar a cabo una clase donde los alumnos se sientan satisfechos de aprender de una forma más forma cómoda. didáctico y con una metodología que les ayude a comprender y aprender el idioma que quieren saber. El presente trabajo de investigación da a conocer las técnicas utilizadas por profesores, explicando cada uno de ellos para que puedan ser adaptados según los criterios del profesor que quiere enseñar, pudiendo utilizar más de una técnica a la vez tiempo en una sola clase, buscando siempre llegar al alumno y lograr el éxito en el aprendizaje, pudiendo llevar a cabo una clase dinámica ya la vez muy fructífera para el alumno. ...
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In this paper, an analysis of deep learning techniques for weather forecasting using statistical downscaling approaches was developed. These are important, since they allow adjusting large-scale climate projections generated by the GCM climate model to more accurate and defined forecasts for specific areas, thus allowing overcoming the limitations of traditional numerical models in the representation of local and small-scale phenomena. Studies implementing Convolutional Neural Networks (CNN) and Generative Adversarial Networks (GAN) were analyzed in order to improve the spatial and temporal resolution of climate data. Both tools and techniques have proven to be effective in projects such as VALUE, which is in charge of evaluating downscaling methods in Europe, and DL4DS, a Python library in charge of applying deep learning algorithms to empirical downscaling of climate data. The main obj...
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Phishing is the theft of personal data through fake websites. Victims of this type of theft are directed to a fake website, where they are asked to enter their data to validate their identity. At that moment, theft is carried out, since entered data are stored and used by the hacker responsible for said attack to sell them or enter to websites and perform a fraud or scam. In order to conduct this work, we researched different methods for detecting phishing websites by using machine learning techniques. Thus, the purpose of this work is to compare machine learning techniques that have demonstrated to be the most effective methods to detect phishing websites. The results show that decision tree classifiers such as Decision Tree and Random Forest have achieved the highest accuracy and efficacy rates, with values between 97% and 99%, in detecting these types of websites.
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Phishing is the theft of personal data through fake websites. Victims of this type of theft are directed to a fake website, where they are asked to enter their data to validate their identity. At that moment, theft is carried out, since entered data are stored and used by the hacker responsible for said attack to sell them or enter to websites and perform a fraud or scam. In order to conduct this work, we researched different methods for detecting phishing websites by using machine learning techniques. Thus, the purpose of this work is to compare machine learning techniques that have demonstrated to be the most effective methods to detect phishing websites. The results show that decision tree classifiers such as Decision Tree and Random Forest have achieved the highest accuracy and efficacy rates, with values between 97% and 99%, in detecting these types of websites.
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tesis de grado
Staff turnover in large Peruvian manufacturing industries has been increasing in recent years. While job rotation is a natural effect in organizations, it generates higher training costs for new staff and impacts work performance and climate when unwanted. Given this problem arises the need to identify the possible causes of rotation of operational personnel and predict these events through data analysis at an early stage to avoid and reduce its impact on the company. This article of quantitative approach and exploratory scope-explanatory aims to identify the propensity of rotation of the operation of a company manufacturing cleaning and disinfection through a model of forecast by collecting data using Machine Learning and encourage proposals that enable solutions to be found to the factors influencing staff turnover. MS Excel and Orange software were used for data analysis, where the da...
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The present research studies the problem of whether or not signicant differences in reading comprehension in students of the subject of English II at the Faculty of Law and Political Science at the University of Huánuco 2013-II, a group working with the cloze technique , with respect to the group of students which does not apply this technique. The hypothesis formulated is "The Technical CLOZE inuences on the development of reading comprehension in learning English Foreign Language students of the Second Cycle of the Faculty of Law and Political Science at the University of Huánuco 2013-II". The study population consisted of 160 students in the second cycle of the Faculty of Law and Political Science, which was extracted a sample of 39 students. Test was administered at the inferential reading comprehension using pretest and post-test, the ...
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The Klingler dissection technique is a modified brain fixation and dissection strategy that uses freezing and thawing to reveal white matter tracts. It has been widely employed in brain anatomical investigations, allowing a better understanding of the cerebral hemispheres’ complex organization. It is notable for its usefulness in the separation of white and gray matters, facilitating the dissection of fiber tracts and providing a three-dimensional understanding of the architecture of white matter systems. Objective: Examine the historical evolution, protocols, and educational, medical, and surgical applications of the Klingler dissection technique. Method: A literature review of academic articles on the topic was conducted through the exploration of databases such as SciELO, Scopus, Medline, and Google Scholar. A total of 3,521 articles of interest were identified, of which 53 were sel...
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This article presents different approaches to user interface design through machine learning techniques. It reviews various approaches to interface design, such as combinational optimizers, frameworks, and free-of-text interface design. Moreover, it shows how interface design with machine learning techniques is based on usability and user experience (UX). Likewise, the design process uses interactions stored in persistence systems or databases, which are then analyzed with machine learning techniques. Another design approach uses sketches and graphic layouts and, after evaluating their usability, uses image recognition algorithms to generate the interfaces; these designs are generally for mobile devices. Some techniques also analyze usability but focus more on the user’s bodily functions (movement, biological functions such as blood pressure, heartbeat, etcetera); this data can also be...
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This article presents different approaches to user interface design through machine learning techniques. It reviews various approaches to interface design, such as combinational optimizers, frameworks, and free-of-text interface design. Moreover, it shows how interface design with machine learning techniques is based on usability and user experience (UX). Likewise, the design process uses interactions stored in persistence systems or databases, which are then analyzed with machine learning techniques. Another design approach uses sketches and graphic layouts and, after evaluating their usability, uses image recognition algorithms to generate the interfaces; these designs are generally for mobile devices. Some techniques also analyze usability but focus more on the user’s bodily functions (movement, biological functions such as blood pressure, heartbeat, etcetera); this data can also be...
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El objetivo de la investigación es la determinación de la forma en que la aplicación de la técnica LECRETEXOR (lectura y creación de textos ortográficos) influye en el aprendizaje de la ortografía. La metodología empleada fue la cuasiexperimental. Los sujetos de la muestra constituyeron las alumnas del primer grado de secundaria (Primero A, Grupo Experimental) y (Primero B, Grupo Control) de la I. E. P. de Señoritas “Juan Landázuri Ricketts” – Cusco. Las principales conclusiones a que se arribaron son: que aplicando la técnica LECRETEXOR en varias sesiones de aprendizaje, se logra que las alumnas aprendan la ortografía en forma efectiva y la empleen, en la misma medida, las alumnas se habitúan a la autocorrección; que infieran las reglas ortográficas a partir de los textos ortográficos leídos por ellas. Estos resultados coinciden con la investigación de Quiñones ...
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tesis de grado
En los últimos años, la demanda de combustibles fósiles ha ido en aumento y esto ha generado una escasez en las reservas mundiales lo que limita el crecimiento económico; ejemplo de ello es Tocache, una de las provincias más aisladas y pobres del Perú. En este estudio se aborda el uso de residuos lignocelulósicos como la cáscara de cacao para generar biocombustible, cuyo objetivo es comparar los resultados experimentales con los obtenidos de la simulación. Asimismo, se realizaron los procesos de pretratamiento, hidrólisis enzimática y fermentación en la Universidad Técnica de Machala. El Machine Learning se realizó con el software Orange, el cual se basó en los datos y las variables experimentales halladas previamente. El mejor resultado corresponde al método Random Forest, con el que se obtuvo una precisión con el R2 (0.83). Por consiguiente, la glucosa predicha fue 1.0...
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To see the student as a unique being in every way, in any of its dimensions, is elementary to achieve learning, although today it is set up as a very difficult task taking into account the peculiarity of our current world and our country; But beyond the inherent difficulties of educating, that is the work of the teacher, who must see and help each of his students to discover the world of potentialities that has, always, beyond a label or a health or social condition. To learn to see the diversity of the group and accept the peculiarity of each student, will only be possible through a personal change, and by following a few steps that will help to see the only thing the student: observe and pre-deal, investigate, experience and build.
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To see the student as a unique being in every way, in any of its dimensions, is elementary to achieve learning, although today it is set up as a very difficult task taking into account the peculiarity of our current world and our country; But beyond the inherent difficulties of educating, that is the work of the teacher, who must see and help each of his students to discover the world of potentialities that has, always, beyond a label or a health or social condition. To learn to see the diversity of the group and accept the peculiarity of each student, will only be possible through a personal change, and by following a few steps that will help to see the only thing the student: observe and pre-deal, investigate, experience and build.
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Today, mobile devices are an essential part of daily life, making them an attractive target for malware attacks. Traditional malware protection techniques, while effective, face increasing challenges due to constantly evolving threats. This article explores artificial intelligence (AI)-powered malware protection techniques in mobile environments, evaluating their effectiveness compared to traditional methods. Through a systematic analysis of the literature, the advantages of using AI, such as machine and deep learning, to improve malware detection and mitigation on mobile devices are highlighted. Additionally, limitations and challenges of implementing these advanced techniques are identified.
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This study examines the issues of teaching foreign students to read in English in the period of distance learning. The relevance of the problem under study is driven by the need for implementation of non-standard systems of teaching students the reading techniques in response to the quarantine isolation, due to the inability to undergo training according to the standard scheme. The purpose of the paper is to investigate and determine the main directions to consider the problem at hand, with an indication of its specific innovative solutions. A combination of analytical and logical research methods with a detailed analysis of available studies in the chosen field was chosen as the leading approach to the investigation of this question. The main results of this paper are: a statement of the availability of unlimited opportunities in this field, with the development of the Internet-based te...
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Technological development has awakened interest on the part of the scientific community in researching to predict earthquakes. The article's objective is to know what variables, techniques, tools, and methodologies have been used in the different studies to predict earthquakes using machine learning techniques. To carry out the study, the Kitchenham methodology was used, which consists of three development phases: review planning, conducting, and reporting. In the planning phase, four research questions were posed; for this purpose, an exhaustive literature search was carried out. After carrying out the selection and exclusion criteria, the questions posed were developed, of which it was found that 15% of the variables to predict earthquakes were latitude, longitude, and depth. In comparison, 13% were the seismic magnitude. 17% of the most used techniques were Random Forest, followed by ...
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The studies of gamification in education have increased due to the difficulty of the teaching staff to tackle rigid learning. In this sense, mathematics is complex for didactics in schooling. Therefore, this research describes two quantitative studies, with experimental design. The purpose was to determine the effects of two types of gamification: a) selfconstructive and b) ethnocultural, in the variables learning of addition and subtraction and problem solving respectively. We included 80 fourth grade students in experiment A (M = 10.3 years old, SD = 1.54), and in experiment B we induced 36 first grade students (M = 6.4 years old, SD = 1.36).  We used two instruments: Problem Solving Test and Measurement Test for Learning Addition and Subtraction. From experiment A, we concluded that, ethnocultural techniques developed the resolution of problems with significant effects in the exp...
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The studies of gamification in education have increased due to the difficulty of the teaching staff to tackle rigid learning. In this sense, mathematics is complex for didactics in schooling. Therefore, this research describes two quantitative studies, with experimental design. The purpose was to determine the effects of two types of gamification: a) selfconstructive and b) ethnocultural, in the variables learning of addition and subtraction and problem solving respectively. We included 80 fourth grade students in experiment A (M = 10.3 years old, SD = 1.54), and in experiment B we induced 36 first grade students (M = 6.4 years old, SD = 1.36).  We used two instruments: Problem Solving Test and Measurement Test for Learning Addition and Subtraction. From experiment A, we concluded that, ethnocultural techniques developed the resolution of problems with significant effects in the exp...
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El presente título “Aplicación del modelo E-learning y su efecto en el desarrollo de la técnica e interpretación musical en estudiantes de violín del Conservatorio regional de música del Norte “Carlos Valderrama” 2021, determinará el papel del e-learning en el desarrollo de la técnica e interpretación musical y su efecto en la aplicación de estudiantes de violín en instituciones superiores. La investigación es de tipo aplicada, correspondiente a un estudio explicativo de un diseño cuasi-experimental. Se utilizaron como población un total de 60 estudiantes de violín del conservatorio regional de música, de los cuales (30 personas) pertenecían al grupo experimental y (30 personas) al grupo control. Se realizó un diseño hipotético de investigación cuasi-experimental, se testeó el proceso de aprendizaje antes de utilizar el modelo e-learning (pretest) y se testeó...