718 resultados para Task-based learning
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For many types of learners one can compute the statistically 'optimal' way to select data. We review how these techniques have been used with feedforward neural networks. We then show how the same principles may be used to select data for two alternative, statistically-based learning architectures: mixtures of Gaussians and locally weighted regression. While the techniques for neural networks are expensive and approximate, the techniques for mixtures of Gaussians and locally weighted regression are both efficient and accurate.
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The proliferation of Web-based learning objects makes finding and evaluating online resources problematic. While established Learning Analytics methods use Web interaction to evaluate learner engagement, there is uncertainty regarding the appropriateness of these measures. In this paper we propose a method for evaluating pedagogical activity in Web-based comments using a pedagogical framework, and present a preliminary study that assigns a Pedagogical Value (PV) to comments. This has value as it categorises discussion in terms of pedagogical activity rather than Web interaction. Results show that PV is distinct from typical interactional measures; there are negative or insignificant correlations with established Learning Analytics methods, but strong correlations with relevant linguistic indicators of learning, suggesting that the use of pedagogical frameworks may produce more accurate indicators than interaction analysis, and that linguistic rather than interaction analysis has the potential to automatically identify learning behaviour.
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El proceso administrativo y de compras de OPL Carga tiene algunas falencias entre ellas: fallas en la Comunicación entre el personal operativo, no se realizan llamadas internas usando con frecuencia el email, produciendo la saturación de solicitudes las cuales terminan sin ser resueltas en cuanto a roles se refiere, no hay enfoque de procesos en vista que no se tiene claras las tareas de cada cargo, adicionalmente no hay claridad en los subprocesos, perjudicando el proceso con el aumento de costos, pérdida de tiempo, las responsabilidades de los funcionario no todas las veces se ejecutan en el tiempo asignado, el liderazgo compartido presenta ambigüedades. Objetivos: Definir el trabajo en equipo en el proceso administrativo y de compras en OPL carga de Bucaramanga. La investigación que a realizar es de tipo descriptivo, busca descubrir las falencias o características que permiten diseñar y desarrollar un modelo de solución para los problemas del equipo de OPL Carga S.A.S. Materiales y métodos: La investigación efectuada es de tipo descriptivo, el objetivo es definir el modelo del trabajo en equipo y describir las falencias en el proceso administrativo y de compras en OPL carga de Bucaramanga, que permitan obtener un diagnóstico integral que conlleve a la implementación de estrategias de solución. Resultados: Se identificaron las falencias en los siguientes aspectos: Variable comunicación, rendimiento, destrezas complementarias, propósito significativo y meta específicas de los funcionarios en OPL carga sección administrativa. Conclusiones: El modelo de trabajo en equipo que OPL aplica es jerárquico, en el que se ofrece estabilidad, seguridad, se toman decisiones en forma piramidal, mediante la planeación de tareas, la colaboración, igualdad y respeto por los miembros, trabajando en pro de la solución de problemas. Se construyó un plano conceptual que permitió exponer la interpretación que la estudiante tiene de las teorías, investigaciones y antecedentes válidos para la comprensión del problema investigado. Área comunicacional: Coordinar acciones tendientes para que los funcionarios respondan a tiempo los emails atenientes a su trabajo. Área condiciones de trabajo: Clarificar y diseñar las reglas de comportamiento al interior de los equipos de trabajo que redunden en el mejoramiento del mismo y la búsqueda de soluciones oportunas. Área metas específicas: Procurar mediante auditorías el cumplimiento de las metas y objetivos propuestos por cada equipo de trabajo.
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Se realizó un estudio transversal, se incluyeron 3 residentes no cardiólogos y se les dio formación básica en ecocardiografía (horas teóricas 22, horas prácticas 65), con recomendaciones de la Sociedad Americana de Ecocardiografia y aportes del aprendizaje basado en problemas, con el desarrollo de competencia técnicas y diagnósticas necesarias, se realizó el análisis de concordancia entre residentes y ecocardiografistas expertos, se recolectaron 122 pacientes hospitalizados que cumplieran con los criterios de inclusión y exclusión, se les realizo un ecocardiograma convencional por el experto y una valoración ecocardiográfica por el residente, se evaluó la ventana acústica, contractilidad, función del ventrículo izquierdo y derrame pericárdico. La hipótesis planteada fue obtener una concordancia moderada. Resultados: Se analizó la concordancia entre observadores para la contractilidad miocárdica (Kappa: 0,57 p=0,000), función sistólica del ventrículo izquierdo (Kappa 0,54 p=0.000) siendo esta moderada por estar entre 0,40 – 0,60 y con una alta significancia estadística, para la calidad de la ventana acústica (Kappa: 0,22 p= 0.000) y presencia de derrame pericárdico (Kappa: 0,26 p= 0.000) se encontró una escasa concordancia ubicándose entre 0,20 – 0,40. Se estableció una sensibilidad de 90%, especificidad de 67%, un valor predictivo positivo de 80% y un valor predictivo negativo de 85% para el diagnóstico de disfunción sistólica del ventrículo izquierdo realizado por los residentes.
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La realidad contemporánea impone nuevos retos al rol de la universidad en la sociedad, y en particular a su función en la formación profesional. Por esta razón, en los escenarios actuales, se hace necesaria la incorporación de estrategias innovadoras que fomenten el desarrollo de pensamiento complejo y competencias profesionales y ciudadanas en los estudiantes universitarios. El libro Pensamiento complejo y competencias en la formación universitaria presenta seis prácticas innovadoras en la Universidad del Rosario en las áreas de las ciencias económicas y administrativas, las relaciones internacionales, la jurisprudencia, las ciencias del lenguaje y las ciencias de la salud. Cada una de estas experiencias nace de las necesidades reales a las que se enfrentan los profesores universitarios hoy en día. También se constituye en un esfuerzo conjunto de un grupo multidisciplinar de profesores por reflexionar sobre las implicaciones de sus prácticas pedagógicas y documentar sus experiencias durante dos años de trabajo compartido, tiempo en el que participaron en el Proyecto INNOVA CESAL, cofinanciado por ALFA III de la Unión Europea.
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No publicado
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Esta investigación está motivada por teorías educativas que sostienen que proporcionar cursos que se adapten al estilo propio de aprendizaje hace que los estudiantes aprendan de forma más fácil y, por lo tanto, mejore el proceso de enseñanza aprendizaje. La propuesta se centra en la incorporación de los estilos de aprendizaje al modelo de usuario en un sistema hipermedia adaptativo, de acuerdo con el modelo de Felder-Silverman. En la fase de inicialización del modelo, este trabajo propone el uso de un cuestionario adaptativo, basado en el cuestionario Index of Learning Styles, para la identificación del estilo de aprendizaje del estudiante. Además se proponen métodos de inferencia para actualizar ese modelo basándose en el comportamiento y las acciones del estudiante. Se ha llevado a cabo la implementación de la adaptación basada en el estilo de aprendizaje del estudiante en TANGOW (Task-based Adaptive learNer Guidance On the Web), un sistema hipermedia adaptativo. Por otra parte, se han realizado investigaciones para determinar el impacto de los estilos de aprendizaje en el trabajo colaborativo. De las conclusiones extraídas se ha desarrollado una agrupación y se ha implementado una herramienta de agrupación supervisada llamada TOGETHER, que facilita la visualización de los resultados de agrupamiento y la modificación de algunos parámetros para obtener el resultado deseado. La evaluación de TOGETHER muestra que los estudiantes agrupados con ella obtuvieron mejores resultados. Concretamente los grupos formados por TOGETHER respondieron correctamente a 1.25 preguntas más, de un total de 10, que los otros grupos. Asimismo, TOGETHER ha sido utilizado directamente por un grupo de profesores con el objetivo de recabar su opinión sobre la utilidad de la misma para el agrupamiento supervisado.
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A self study course for learning to program using the C programming language has been developed. A Learning Object approach was used in the design of the course. One of the benefits of the Learning Object approach is that the learning material can be reused for different purposes. 'Me course developed is designed so that learners can choose the pedagogical approach most suited to their personal learning requirements. For all learning approaches a set of common Assessment Learning Objects (ALOs or tests) have been created. The design of formative assessments with ALOs can be carried out by the Instructional Designer grouping ALOs to correspond to a specific assessment intention. The course is non-credit earning, so there is no summative assessment, all assessment is formative. In this paper examples of ALOs and their uses is presented together with their uses as decided by the Instructional Designer and learner. Personalisation of the formative assessment of skills can be decided by the Instructional Designer or the learner using a repository of pre-designed ALOs. The process of combining ALOs can be carried out manually or in a semi-automated way using metadata that describes the ALO and the skill it is designed to assess.
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It has been suggested that few students graduate with the skills required for many ecological careers, as field-based learning is said to be in decline in academic institutions. Here, we asked if mobile technology could improve field-based learning, using ability to identify birds as the study metric. We divided a class of ninety-one undergraduate students into two groups for field-based sessions where they were taught bird identification skills. The first group has access to a traditional identification book and the second group were provided with an identification app. We found no difference between the groups in the ability of students to identify birds after three field sessions. Furthermore, we found that students using the traditional book were significantly more likely to identify novel species. Therefore, we find no evidence that mobile technology improved students’ ability to retain what they experienced in the field; indeed, there is evidence that traditional field guides were more useful to students as they attempted to identify new species. Nevertheless, students felt positively about using their own smartphone devices for learning, highlighting that while apps did not lead to an improvement in bird identification ability, they gave greater accessibility to relevant information outside allocated teaching times.
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Case-Based Reasoning is a methodology for problem solving based on past experiences. This methodology tries to solve a new problem by retrieving and adapting previously known solutions of similar problems. However, retrieved solutions, in general, require adaptations in order to be applied to new contexts. One of the major challenges in Case-Based Reasoning is the development of an efficient methodology for case adaptation. The most widely used form of adaptation employs hand coded adaptation rules, which demands a significant knowledge acquisition and engineering effort. An alternative to overcome the difficulties associated with the acquisition of knowledge for case adaptation has been the use of hybrid approaches and automatic learning algorithms for the acquisition of the knowledge used for the adaptation. We investigate the use of hybrid approaches for case adaptation employing Machine Learning algorithms. The approaches investigated how to automatically learn adaptation knowledge from a case base and apply it to adapt retrieved solutions. In order to verify the potential of the proposed approaches, they are experimentally compared with individual Machine Learning techniques. The results obtained indicate the potential of these approaches as an efficient approach for acquiring case adaptation knowledge. They show that the combination of Instance-Based Learning and Inductive Learning paradigms and the use of a data set of adaptation patterns yield adaptations of the retrieved solutions with high predictive accuracy.
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The goal of primary science education is to foster children’s interest, develop positive science attitudes and promote science process skills development. Learning by playing and discovering provides several opportunities for children to inquiry and understand science based on the first–hand experience. The current research was conducted in the children’s laboratory in Heureka, the Finnish science centre. Young children (aged 7 years) which came from 4 international schools did a set of chemistry experiments in the laboratory. From the results of the cognitive test, the pre-test, the post-test, supported by observation and interview, we could make the conclusion that children enjoyed studying in the laboratory. Chemistry science was interesting and fascinating for young children; no major gender differences were found between boys and girls learning in the science laboratory. Lab work not only encouraged children to explore and investigate science, but also stimulated children’s cognitive development.
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Considering the following conditions: (1) the fluency demands of students in an undergraduate program in Languages and Literatures/English in the Amazon region; (2) the listening and speaking needs of pre-service teachers of English as a Foreign Language (EFL); (3) my continuing education as a professor of EFL and my academic literacy as a teacher-researcher and pre-service-teacher trainer, this study, which is based on Narrative Inquiry, reports on a teacher experience of working didactically with oral genres through podcasting an activity that emerged with the advent of Information and Communication Technology (ICT). Through this process, I engage with some theorists who promote teaching as a process that is driven by a concept of language as social practice. Subsequently, I make use of the notions of context of culture and context of situation, derived from Systemic Functional Linguistics, as well as the concept of genre and register derived from the perspective of this theory. Based on these principles and beliefs, the Amazon region constitutes the register (situation) of the genres used in this study. These principles also provide, opportunities for building learning strategies appropriate to this local context, and also to teach listening and speaking skills from a task-based approach. During the experience, based on the reflective teacher-education model, the participants produced narratives about the process, which I then analyzed according to Ely, Vinz, Downing and Anzul (2001), who propose possibilities of composing meanings in Narrative Inquiry. Based on this perspective, I discuss the following topics, which were highly emphasized in the participants narratives: the lack of didactic activities using oral genres; the relevance of context within teacher education; and collaborative work as a strategy to overcome gaps in digital literacy, language fluency and teaching skills. The meanings I thereby compose point to a paradigm shift in English language teaching within this context. I also argue for a pedagogical practice that is engaged with historical and socio-cultural issues, and with the development of language skills, also one that promotes the implementation of ICTs at the very start of teacher training programs, adopting teaching and learning strategies that correspond to the demands of fluency in this particular context, and deficiencies imposed by geographical isolation
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The Faculdade de Medicina de Botucatu is changing to, and implementing a new curriculum aimed at integrating teaching and learning in the community. Emphasis is on preparing the community settings for teaching, learning and providing health care. A particular task is staff development with emphasis on problem-based learning (PBL) and training medical and nursing students in the leadership to participate in this process. The new curriculum includes the gradual introduction of clinical practice during First Year, integration of the basic sciences with clinical sciences, through integrated modules studied in small groups, and maintenance of the two year clerkship. The undergraduates are introduced gradually to the community: 8% of the total curriculum during First Year, 10% during Second Year, 10% during Third Year, 20% during Fourth Year, 30% during Fifth and Sixth Years. The basic health units at primary care level, and the regional specialty outpatients and hospitals at the second level, are the main teaching sites. An Education Development Committee was established to discuss the strategies for supporting the changes and to structure the planning for promoting the gradual transformation of staff development. After 18 months of implementation of the curriculum, there followed discussions and monitoring of the objectives of changes in medical education at our school. Successful implementation of the new curriculum would fail, if the objectives were not absorbed by every member of the implementation Committee.
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A etiquetagem morfossintática é uma tarefa básica requerida por muitas aplicações de processamento de linguagem natural, tais como análise gramatical e tradução automática, e por aplicações de processamento de fala, por exemplo, síntese de fala. Essa tarefa consiste em etiquetar palavras em uma sentença com as suas categorias gramaticais. Apesar dessas aplicações requererem etiquetadores que demandem maior precisão, os etiquetadores do estado da arte ainda alcançam acurácia de 96 a 97%. Nesta tese, são investigados recursos de corpus e de software para o desenvolvimento de um etiquetador com acurácia superior à do estado da arte para o português brasileiro. Centrada em uma solução híbrida que combina etiquetagem probabilística com etiquetagem baseada em regras, a proposta de tese se concentra em um estudo exploratório sobre o método de etiquetagem, o tamanho, a qualidade, o conjunto de etiquetas e o gênero dos corpora de treinamento e teste, além de avaliar a desambiguização de palavras novas ou desconhecidas presentes nos textos a serem etiquetados. Quatro corpora foram usados nos experimentos: CETENFolha, Bosque CF 7.4, Mac-Morpho e Selva Científica. O modelo de etiquetagem proposto partiu do uso do método de aprendizado baseado em transformação(TBL) ao qual foram adicionadas três estratégias, combinadas em uma arquitetura que integra as saídas (textos etiquetados) de duas ferramentas de uso livre, o TreeTagger e o -TBL, com os módulos adicionados ao modelo. No modelo de etiquetador treinado com o corpus Mac-Morpho, de gênero jornalístico, foram obtidas taxas de acurácia de 98,05% na etiquetagem de textos do Mac-Morpho e 98,27% em textos do Bosque CF 7.4, ambos de gênero jornalístico. Avaliou-se também o desempenho do modelo de etiquetador híbrido proposto na etiquetagem de textos do corpus Selva Científica, de gênero científico. Foram identificadas necessidades de ajustes no etiquetador e nos corpora e, como resultado, foram alcançadas taxas de acurácia de 98,07% no Selva Científica, 98,06% no conjunto de teste do Mac-Morpho e 98,30% em textos do Bosque CF 7.4. Esses resultados são significativos, pois as taxas de acurácia alcançadas são superiores às do estado da arte, validando o modelo proposto em busca de um etiquetador morfossintático mais confiável.