47 research outputs found

    Estrategias de aprendizaje cooperativo y habilidades cognitivas en los estudiantes de la Facultad de Educación de la Universidad Nacional Mayor de San Marcos

    Get PDF
    Identifica y analiza las características del aprendizaje cooperativo relacionado a las habilidades cognitivas establecidas. Es el resultado de la intervención aplicado en un análisis estadístico a partir del recojo de información de los estudiantes mediante la técnica de la encuesta con la aplicación de un instrumento que es el cuestionario para evidenciar el desarrollo de las estrategias que se utilizan en las actividades de aprendizaje de los estudiantes del octavo semestre en la facultad de Educación de la Universidad Nacional Mayor de San Marcos. Para ello se asume una hipótesis donde se establece la relación directa y significativa de acuerdo a la naturaleza de organización y que nos orientará según la percepción de los estudiantes sus preocupaciones, permitiéndonos determinar con realidad sus necesidades y potencialidades, logrando así un adecuado seguimiento y plantear recomendaciones, en base al perfil diseñado a partir de reconocer las dimensiones en cada variable con el propósito de mejorar el proceso de aprendizaje en los estudiantes a partir de los lineamientos del enfoque cooperativo, sus implicancias que favorecen al desarrollo de habilidades cognitivas, descriptivas, analíticas, críticas y creativas. El tipo de investigación es básico, cuantitativo por el método de estudio, por el diseño de investigación es correlacional y de corte transversal en un nivel descriptivo por que se busca medir las variables en estudio. Para ello se ha utilizado un cuestionario con 56 item dirigida a estudiantes universitarios sobre las variables indicadas como instrumento con un recojo de información de un solo momento en un tiempo único, con alumnos del octavo semestre, haciendo uso de un muestreo probabilístico. Se analizaron los resultados con un programa SPSS que permitió describir de manera gráfica las conclusiones reafirmando de manera positiva la relación que existe entre las estrategias de aprendizaje cooperativo y la variable de habilidades cognitivas, con las habilidades descriptivas, con las habilidades analíticas, con las habilidades críticas y las habilidades creativas en los estudiantes de la facultad de educación de la UNMSM, permitiendo establecer logros de aprendizaje.Tesi

    Reaching and grasping kitchenware objects

    Get PDF
    We integrate software components that allow ef- ficient and successful grasping of kitchenware objects. The contributed components include: The object pose detector, the gripper reaching motion and the grasp hypothesis selection. The object pose detector of Drost et. al. [10] is improved, considering rotationally symmetric objects. The reaching motion execution combines two independent dynamical systems: The approach direction system and its tangent space [21]. The coupling provides a robust reaching component that copes with several gripper configurations. The grasp hypothesis selection filters the object poses by considering the table orientation

    The global biogeography of tree leaf form and habit

    Get PDF
    Understanding what controls global leaf type variation in trees is crucial for comprehending their role in terrestrial ecosystems, including carbon, water and nutrient dynamics. Yet our understanding of the factors influencing forest leaf types remains incomplete, leaving us uncertain about the global proportions of needle-leaved, broadleaved, evergreen and deciduous trees. To address these gaps, we conducted a global, ground-sourced assessment of forest leaf-type variation by integrating forest inventory data with comprehensive leaf form (broadleaf vs needle-leaf) and habit (evergreen vs deciduous) records. We found that global variation in leaf habit is primarily driven by isothermality and soil characteristics, while leaf form is predominantly driven by temperature. Given these relationships, we estimate that 38% of global tree individuals are needle-leaved evergreen, 29% are broadleaved evergreen, 27% are broadleaved deciduous and 5% are needle-leaved deciduous. The aboveground biomass distribution among these tree types is approximately 21% (126.4 Gt), 54% (335.7 Gt), 22% (136.2 Gt) and 3% (18.7 Gt), respectively. We further project that, depending on future emissions pathways, 17-34% of forested areas will experience climate conditions by the end of the century that currently support a different forest type, highlighting the intensification of climatic stress on existing forests. By quantifying the distribution of tree leaf types and their corresponding biomass, and identifying regions where climate change will exert greatest pressure on current leaf types, our results can help improve predictions of future terrestrial ecosystem functioning and carbon cycling

    The global biogeography of tree leaf form and habit.

    Get PDF
    Understanding what controls global leaf type variation in trees is crucial for comprehending their role in terrestrial ecosystems, including carbon, water and nutrient dynamics. Yet our understanding of the factors influencing forest leaf types remains incomplete, leaving us uncertain about the global proportions of needle-leaved, broadleaved, evergreen and deciduous trees. To address these gaps, we conducted a global, ground-sourced assessment of forest leaf-type variation by integrating forest inventory data with comprehensive leaf form (broadleaf vs needle-leaf) and habit (evergreen vs deciduous) records. We found that global variation in leaf habit is primarily driven by isothermality and soil characteristics, while leaf form is predominantly driven by temperature. Given these relationships, we estimate that 38% of global tree individuals are needle-leaved evergreen, 29% are broadleaved evergreen, 27% are broadleaved deciduous and 5% are needle-leaved deciduous. The aboveground biomass distribution among these tree types is approximately 21% (126.4 Gt), 54% (335.7 Gt), 22% (136.2 Gt) and 3% (18.7 Gt), respectively. We further project that, depending on future emissions pathways, 17-34% of forested areas will experience climate conditions by the end of the century that currently support a different forest type, highlighting the intensification of climatic stress on existing forests. By quantifying the distribution of tree leaf types and their corresponding biomass, and identifying regions where climate change will exert greatest pressure on current leaf types, our results can help improve predictions of future terrestrial ecosystem functioning and carbon cycling
    corecore