770 resultados para clusterizing of learning activities
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This article presents the findings of a field research, not experimental, observational, correlating, basic, of mixed data, micro sociologic, leading to a study of surveys.The object of study is to find learning kinds, and the unit of analysis were 529 high school students between 16 and 21 years old. Its purpose is to understand the impact of learning by rote, guided, self learned and meaningful learning and its achievement degree besides the learning outcomes of differentiated curriculum based on David Ausubel's thoughts, associated with different economic specialties (MINEDUC, 1998) where the population of the study is trained. To collect data, the test TADA - DO2 was used, this test has a reliability index of 0.911 according to Cronbach. From the hits it can be stated from the null hypothesis that there is a significant association (a = 0,05) between the learning kinds and the learning expected of differentiated training plan for both, male and female. It is complex to state that the training of the middle-level technicians leads to a successful employment.
Resumo:
This article presents the findings of a field research, not experimental, observational, correlating, basic, of mixed data, micro sociologic, leading to a study of surveys.The object of study is to find learning kinds, and the unit of analysis were 529 high school students between 16 and 21 years old. Its purpose is to understand the impact of learning by rote, guided, self learned and meaningful learning and its achievement degree besides the learning outcomes of differentiated curriculum based on David Ausubel's thoughts, associated with different economic specialties (MINEDUC, 1998) where the population of the study is trained. To collect data, the test TADA - DO2 was used, this test has a reliability index of 0.911 according to Cronbach. From the hits it can be stated from the null hypothesis that there is a significant association (a = 0,05) between the learning kinds and the learning expected of differentiated training plan for both, male and female. It is complex to state that the training of the middle-level technicians leads to a successful employment.
Resumo:
This article presents the findings of a field research, not experimental, observational, correlating, basic, of mixed data, micro sociologic, leading to a study of surveys.The object of study is to find learning kinds, and the unit of analysis were 529 high school students between 16 and 21 years old. Its purpose is to understand the impact of learning by rote, guided, self learned and meaningful learning and its achievement degree besides the learning outcomes of differentiated curriculum based on David Ausubel's thoughts, associated with different economic specialties (MINEDUC, 1998) where the population of the study is trained. To collect data, the test TADA - DO2 was used, this test has a reliability index of 0.911 according to Cronbach. From the hits it can be stated from the null hypothesis that there is a significant association (a = 0,05) between the learning kinds and the learning expected of differentiated training plan for both, male and female. It is complex to state that the training of the middle-level technicians leads to a successful employment.
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The present study aimed to contribute to the knowledge on the intraspecific variations of enzyme activities in populations of Calanus finmarchicus from different longitudes across the North Atlantic Ocean and their relation to changing environmental conditions. C. finmarchicus was sampled across the North Atlantic in basins with decreasing temperature regimes from east to west (Iceland Basin, Irminger Basin and Labrador Basin) in late March/early April 2013. Potential maximum enzyme activities of digestive (proteinases and lipases/esterases) and metabolic (citrate synthase) enzymes of copepods from all sampling stations were analysed and thermal profiles (5-50°C) of enzyme activities were determined. In order to investigate its acclimation potential, C. finmarchicus were acclimated to 4°C and 15°C for two weeks and thermal profiles of enzyme activities were compared afterwards.
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Ocean acidification has the potential to cause dramatic changes in marine ecosystems. Larval damselfish exposed to concentrations of CO2 predicted to occur in the mid- to late-century show maladaptive responses to predator cues. However, there is considerable variation both within and between species in CO2 effects, whereby some individuals are unaffected at particular CO2 concentrations while others show maladaptive responses to predator odour. Our goal was to test whether learning via chemical or visual information would be impaired by ocean acidification and ultimately, whether learning can mitigate the effects of ocean acidification by restoring the appropriate responses of prey to predators. Using two highly efficient and widespread mechanisms for predator learning, we compared the behaviour of pre-settlement damselfish Pomacentrus amboinensis that were exposed to 440 µatm CO2 (current day levels) or 850 µatm CO2, a concentration predicted to occur in the ocean before the end of this century. We found that, regardless of the method of learning, damselfish exposed to elevated CO2 failed to learn to respond appropriately to a common predator, the dottyback, Pseudochromis fuscus. To determine whether the lack of response was due to a failure in learning or rather a short-term shift in trade-offs preventing the fish from displaying overt antipredator responses, we conditioned 440 or 700 µatm-CO2 fish to learn to recognize a dottyback as a predator using injured conspecific cues, as in Experiment 1. When tested one day post-conditioning, CO2 exposed fish failed to respond to predator odour. When tested 5 days post-conditioning, CO2 exposed fish still failed to show an antipredator response to the dottyback odour, despite the fact that both control and CO2-treated fish responded to a general risk cue (injured conspecific cues). These results indicate that exposure to CO2 may alter the cognitive ability of juvenile fish and render learning ineffective.
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In a degree course such as Forestry Engineering, the general teaching objectives consist of explaining and helping students to understand the principles of Mechanics. For some time now we have encountered significant difficulties in teaching this subject due to the students' lack of motivation and to their insufficient prior preparation for the topic. If we add to this the discipline's inherent complexity and the students' preconceptions about the subject, these teaching difficulties become considerable. For this reason a series of didactic activities have been introduced sequentially in the teaching of this subject. This work describes the methodology, procedure and results for the action of developing a work project in groups using Descartes software. The results of this experiment can be considered very positive. Some of the critical preconceptions for learning the subject can be corrected, and the tutoring process in the classroom contributes to an improvement in teacherstudent communication. Since this scheme was established, the number of students taking part each academic year has increased, and this is the group with the greatest percentage of passing scores.
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The results obtained after incorporating the competence “creativity” to the subject Technical Drawing of the first course of the Degree in Forestry, Technical University of Madrid, are presented in this study.At first, learning activities which could serve two functions at the same time -developing students’ creativity and developing other specific competences of the subject- were considered. Besides, changes in the assessment procedure were made and a method which analyzes two aspects of the assessment of the competence creativity was established. On the one hand, the products are evaluated by analyzing the outcomes obtained by students in the essays suggested and by establishing a parameter to assess the creativity expressed in those essays. On the other, an assessment of the student is directly carried out through a psychometric test which has been previously chosen by the team.Moreover, these results can be applied to similar or could be of general application
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Las Tecnologías de la Información y de las Comunicaciones, ofrecen una buena oportunidad para el desarrollo de comunidades virtuales de aprendizaje, especialmente en el caso de las titulaciones conjuntas entre organizaciones. Estas comunidades permiten a las organizaciones aprovechar mejor las oportunidades de aprendizaje que brindan las tecnologías de Internet, aportando mejores contenidos y experiencias de aprendizaje (Recursos de aprendizaje) tanto para los profesores como para los alumnos. Sin embargo, actualmente no existe una tecnología clara con la que poder federar plataformas de gestión e impartición de titulaciones virtuales (LMS), con la que dar un adecuado soporte a las titulaciones conjuntas. En este trabajo, se presenta una metodología y una arquitectura de federación de plataformas LMS para poder gestionar titulaciones conjuntas en ambiente de e-learning. Actualmente, existe escaso conocimiento acerca de los problemas que están imposibilitando la utilización de estos escenarios. Por ello, este trabajo se presenta como una solución para los miembros de la comunidad (directores, docentes, investigadores y estudiantes), ofreciendo un marco conceptual, que ayuda a entender estos escenarios e identifica los requisitos de diseño que son útiles para generar servicios de aprendizaje accesibles a los miembros de la comunidad (Grid de recursos de aprendizaje) y para integrar los LMS en una nube de titulaciones conjuntas en ambientes de e-learning. Así mismo, en el presente documento se presentan varias experiencias, en las que se han implementado comunidades virtuales de aprendizaje en la ciudad de Cartagena de Indias (Colombia), que han servido para inspirar y validar la solución propuesta en este trabajo. ABSTRACT Information and communication technologies offer a great opportunity for the development of virtual learning communities, like as joint degrees between Organizations. Virtual Learning Communities allow organizations to be more cooperative during training activities via the Internet, with the provision of their learning expertise (learning resource). Internet enables multiple organizations to share their learning expertise with others. In these cooperative knowledge spaces, each organization contributes with their partners providing learning resources that they offer to students and teachers. However, currently there is no clear technology with which to federate Learning Management Systems (LMS) to give adequate support to joint degrees. In this work, we present a description of the problems that would face the generation of the Joint degrees in e-learning environments. Currently little is known about the problems that prevent the formation of virtual learning communities generated from the experience contributed by multiple organizations, so, this work is important for community members (Directors, Teachers, Researchers and practitioners) because it offers a conceptual framework that helps understand these scenarios and can provide useful design requirements when generating learning services for the community (Grid of Learning Resources) and to integrate the LMS in a cloud of joint degrees in e-learning environments. We also propose various experiences in which virtual learning communities have been integrated in Cartagena de Indias (Colombia) which have served to inspire and validate the solution proposed in this paper.
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Web-based education or „e-learning‟ has become a critical component in higher education for the last decade, replacing other distance learning methods, such as traditional computer training or correspondence learning. The number of university students who take on-line courses is continuously increasing all over the world. In Spain, nearly a 90% of the universities have an institutional e-learning platform and over 60% of the traditional on-site courses use this technology as a supplement to the traditional face-to-face classes. This new form of learning allows the disappearance of geographical barriers and enables students to schedule their own learning process, among some other advantages. On-line education is developed through specific software called „e-learning platform‟ or „virtual learning environment‟ (VLE). A considerable number of web-based tools to deliver distance courses are currently available. Open source software packages such as Moodle, Sakai, dotLRN or Dokeos are the most commonly used in the virtual campuses of Spanish universities. This paper analyzes the possibilities that virtual learning environments provide university teachers and learners and offers a technical comparison among some of the most popular e-learning learning platforms.
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Analysis of learning data (learning analytics) is a new research field with high growth potential. The main objective of Learning analytics is the analysis of data (interactions being the basic data unit) generated in virtual learning environments, in order to maximize the outcomes of the learning process; however, a consensus has not been reached yet on which interactions must be measured and what is their influence on learning outcomes. This research is grounded on the study of e-learning interaction typologies and their relationship with students? academic performance, by means of a comparative study between different interaction typologies (based on the agents involved, frequency of use and participation mode). The main conclusions are a) that classifications based on agents offer a better explanation of academic performance; and b) that each of the three typologies are able to explain academic performance in terms of some of their components (student-teacher and student-student interactions, evaluating students interactions and active interactions, respectively), with the other components being nonrelevant.
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Purpose – The purpose of this paper is to analyze how team management affects team-learning activities. Design/methodology/approach – The authors empirically study 68 teams as they operate in the natural business context of a major Spanish bank. Quantitative research utilizing multiple regression analyses is used to test hypotheses. Findings – The leadership behaviour (consideration, initiation of structure) displayed by the team leader plays a key role in facilitating team learning. Team leader behaviour characterised by consideration and in particular by initiation of structure are both positively related to team-learning activities. Cross-training of team members also contributes to team-learning behaviour. Research limitations/implications – A specific setting may limit the generalizability of findings. Further research may accordingly investigate to what extent these results can be generalized to other settings or other aspects of team learning. Practical implications – The leadership style adopted by the team leader, as well as cross-training of members, affect team-learning activities. These results link leadership theory to collective learning in teams and organizations, and suggest ways leaders can contribute to improved learning. Originality/value – The study provides new insight into how management of teams facilitates team-learning activities. While consideration is somewhat related to team learning, initiation of structure as well as cross-training appear as key variables.
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The objective of this dissertation is to analyze, design, and implement an activity module for a larger educational platform with the use of gamification techniques with the purpose to improve learning, pass rates, and feedback. The project investigates how to better incentivize student learning. A software requirement specification was delineated to establish the system guidelines and behavior. Following, a definition of the activities in the module was created. This definition encompassed a detailed description of each activity, together with elements that compose it, available customizations and the involved formulas. The activity high-level design process includes the design of the defined activities by use of the software methodology UWE (UML-based Web Engineering) for their future implementation, modeling requirements, content, navigation and presentation. The low-level design is composed of the database schema and types and the relating EER (Enhanced Entity-Relationship) diagram. After this, the implementation of the designed module began, together with testing in the later stages. We expect that by using the implemented activity module, students will become more interested in learning, as well as more engaged in the process, resulting in a continuous progress during the course.---RESUMEN---El objetivo de este trabajo es analizar, diseñar e implementar un módulo de actividades didácticas que formará parte de una plataforma educativa, haciendo uso de técnicas de gamificación con la finalidad de mejorar el aprendizaje, ratio de aprobados y retroalimentación para los alumnos. El proyecto investiga como incentivar mejor el aprendizaje estudiantil. Se trazó una especificación de requisitos de software para establecer las pautas del sistema y su comportamiento. A continuación, se definieron las actividades del módulo. Esta definición abarca una descripción detallada de cada actividad, junto a los elementos que la componen, las configuraciones disponibles y las formulas involucradas. El proceso de diseño de alto nivel incluye el diseño de las actividades definidas usando la metodología de software UWE (UML-based Web Engineering) para su futura implementación, requisitos de modelaje, contenido, navegación y presentación. El diseño de bajo nivel está compuesto por el esquema y tipos de la base de datos y el diagrama de entidad-relación correspondiente. Tras esto se realizó la implementación y pruebas de parte del sistema. Se espera que usando el módulo de actividades implementado, los estudiantes muestren un mayor interés por aprender, así como estar más involucrados en el proceso, resultando en un progreso más continuo durante el curso.
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The School of Industrial Engineering at Universidad Politécnica de Madrid (ETSII-UPM) has been promoting student-centred teaching-learning activities, according to the aims of the Bologna Declaration, well before the official establishment of the European Area of Higher Education. Such student-centred teaching-learning experiences led us to the conviction that project based learning is rewarding, both for students and academics, and should be additionally promoted in our new engineering programmes, adapted to the Grade-Master structure. The level of commitment of our teachers with these activities is noteworthy, as the teaching innovation experiences carried out in the last ten years have led to the foundation of 17 Teaching Innovation Groups at ETSII-UPM, hence leading the ranking of teaching innovation among all UPM centres. Among interesting CDIO activities our students have taken part in especially complex projects, including the Formula Student, linked to the complete development of a competition car, and the Cybertech competition, aimed at the design, construction and operation of robots for different purposes. Additional project-based learning teamwork activities have been linked to toy design, to the development of medical devices, to the implementation of virtual laboratories, to the design of complete industrial installations and factories, among other activities detailed in present study. The implementation of Bologna process will culminate at ETSII-UPM with the beginning of the Master’s Degree in Industrial Engineering, in academic year 2014-15. The program has been successfully approved by the Spanish Agency for Accreditation (ANECA), with the inclusion of a set of subjects based upon the CDIO methodology denominated generally “INGENIA”, linked to the Spanish “ingeniar” (to provide ingenious solutions), also related etymologically in Spanish with “ingeniero”, engineer. INGENIA students will live through the complete development process of a complex product or system and there will be different kind of projects covering most of the engineering majors at ETSII-UPM.
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Probabilistic graphical models are a huge research field in artificial intelligence nowadays. The scope of this work is the study of directed graphical models for the representation of discrete distributions. Two of the main research topics related to this area focus on performing inference over graphical models and on learning graphical models from data. Traditionally, the inference process and the learning process have been treated separately, but given that the learned models structure marks the inference complexity, this kind of strategies will sometimes produce very inefficient models. With the purpose of learning thinner models, in this master thesis we propose a new model for the representation of network polynomials, which we call polynomial trees. Polynomial trees are a complementary representation for Bayesian networks that allows an efficient evaluation of the inference complexity and provides a framework for exact inference. We also propose a set of methods for the incremental compilation of polynomial trees and an algorithm for learning polynomial trees from data using a greedy score+search method that includes the inference complexity as a penalization in the scoring function.
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La adquisición de la competencia grupal es algo básico en la docencia universitaria. Esta tarea va a suponer evaluar diferentes factores en un número elevado de alumnos, lo que puede supone gran complejidad y un esfuerzo elevado. De cara a evitar este esfuerzo se puede pensar en emplear los registros de la interacción de los usuarios almacenados en las plataformas de aprendizaje. Para ello el presente trabajo se basa en el desarrollo de un sistema de Learning Analytics que es utilizado como herramienta para analizar las evidencias individuales de los distintos miembros de un equipo de trabajo. El trabajo desarrolla un modelo teórico apoyado en la herramienta, que permite relacionar las evidencias observadas de forma empírica para cada alumno, con indicadores obtenidos tanto de la acción individual como cooperativo de los miembros de un equipo realizadas a través de los foros de trabajo. Abstract — The development of the group work competence is something basic in university teaching. It should be evaluated, but this means to analyze different issues about the participation of a high number of students which is very complex and implies a lot of effort. In order to facilitate this evaluation it is possible to analyze the logs of students’ interaction in Learning Management Systems. The present work describes the development of a Learning Analytics system that analyzes the interaction of each of the members of working group. This tool is supported by a theoretical model, which allows establishing links between the empirical evidences of each student and the indicators of their action in working forums.