740 resultados para Cognitive learning theory


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In der vorliegenden wissenschaftlichen Hausarbeit zur Ersten Staatsprüfung für das Lehramt an Gymnasien im Fach Biologie wurde der Einfluss der kognitiven Leistungsfähigkeit von Schülerinnen und Schülern auf die Bewertungskompetenz im bilingualen Biologieunterricht empirisch untersucht. Die theoretische Grundlage der Untersuchung bildet die Cognitive Load Theory von John Sweller, die besagt, dass der Mensch nur über ein limitiertes Arbeitsgedächtnis verfügt, sodass bei Überforderung kein Lernprozess einsetzen kann. Basierend auf dieser Theorie wurden die Hypothesen aufgestellt, dass Schülerinnen und Schüler, die bilingualen Biologieunterricht belegen, in komplexen und abstrakten Unterrichtsinhalten kognitiv überfordert sind, und folglich schlechtere Leistungen bringen können. Untersucht wurden dabei beispielhaft die Themenkomplexe Bioethik und nachhaltige Entwicklung, abgefragt wurde die Bewertungskompetenz der Schülerinnen und Schüler gemäß der Bildungsstandards der KMK. Jeder Teilnehmer an der Befragung füllte einen Fragebogen aus, anhand dessen einerseits die kognitive Leistungsfähigkeit, andererseits die Bewertungskompetenz ermittelt wurde. Letztlich wurden die Werte korreliert, um die Hypothesen zu überprüfen, wobei herauskam, dass die Schülerinnen und Schüler aus bilingualen Kursen keine signifikant schlechteren Leistungen erzielten als die Teilnehmer aus den Regelklassen. Somit wurde nachgewiesen, dass bilingualer Biologieunterricht auch in sehr komplexen und abstrakten Unterrichtseinheiten keine kognitive Überforderung darstellt.

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We present distribution independent bounds on the generalization misclassification performance of a family of kernel classifiers with margin. Support Vector Machine classifiers (SVM) stem out of this class of machines. The bounds are derived through computations of the $V_gamma$ dimension of a family of loss functions where the SVM one belongs to. Bounds that use functions of margin distributions (i.e. functions of the slack variables of SVM) are derived.

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The Support Vector (SV) machine is a novel type of learning machine, based on statistical learning theory, which contains polynomial classifiers, neural networks, and radial basis function (RBF) networks as special cases. In the RBF case, the SV algorithm automatically determines centers, weights and threshold such as to minimize an upper bound on the expected test error. The present study is devoted to an experimental comparison of these machines with a classical approach, where the centers are determined by $k$--means clustering and the weights are found using error backpropagation. We consider three machines, namely a classical RBF machine, an SV machine with Gaussian kernel, and a hybrid system with the centers determined by the SV method and the weights trained by error backpropagation. Our results show that on the US postal service database of handwritten digits, the SV machine achieves the highest test accuracy, followed by the hybrid approach. The SV approach is thus not only theoretically well--founded, but also superior in a practical application.

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We present an overview of current research on artificial neural networks, emphasizing a statistical perspective. We view neural networks as parameterized graphs that make probabilistic assumptions about data, and view learning algorithms as methods for finding parameter values that look probable in the light of the data. We discuss basic issues in representation and learning, and treat some of the practical issues that arise in fitting networks to data. We also discuss links between neural networks and the general formalism of graphical models.

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When training Support Vector Machines (SVMs) over non-separable data sets, one sets the threshold $b$ using any dual cost coefficient that is strictly between the bounds of $0$ and $C$. We show that there exist SVM training problems with dual optimal solutions with all coefficients at bounds, but that all such problems are degenerate in the sense that the "optimal separating hyperplane" is given by ${f w} = {f 0}$, and the resulting (degenerate) SVM will classify all future points identically (to the class that supplies more training data). We also derive necessary and sufficient conditions on the input data for this to occur. Finally, we show that an SVM training problem can always be made degenerate by the addition of a single data point belonging to a certain unboundedspolyhedron, which we characterize in terms of its extreme points and rays.

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Este artículo revisa hallazgos y modelos teóricos en torno a un aspecto del desarrollo de la teoría de la mente, a saber: la comprensión temprana de cómo se adquiere el conocimiento. La revisión realizada indica que mientras la investigación inicial sugiere que esta comprensión emerge a los cuatro años de edad, hallazgos recientes indican que se encuentra ya presente al final del primer año de vida. A partir de esto, la teoría emergente sobre el aprendizaje cultural propuesta por Tomasello y colaboradores propone la integración de ambos hallazgos en una misma trayectoria de desarrollo. A pesar de sus contribuciones, esta novedosa propuesta podría enriquecerse de dos distintas formas: 1) esclareciendo las diferencias específicas en cuanto a la capacidad del infante y la del niño preescolar para comprender los estados mentales como representaciones internas, y 2) especificando los mecanismos que subyacen la trayectoria de desarrollo de la comprensión del comportamiento como el producto de la actividad mental.

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O presente trabalho de investigação incide na análise e interpretação de uma experiência educativa, desenvolvida em contexto de sala de aula, que teve como referência e critérios de abordagem a teoria construtivista da aprendizagem, mais concretamente a teoria da aprendizagem significativa de Ausubel e partiu da análise das conceções prévias de alunos de uma turma de 9º Ano, do 3º Ciclo do Ensino Básico, sobre o conceito de qualidade de vida, numa escola inserida num dado contexto psicossocial, o meio rural. Trata-se de uma experiência educativa desenvolvida no domínio da cognição histórica e geográfica, relativamente à construção científica do conceito de qualidade de vida, inserido nas disciplinas de História e de Geografia. De modo a concretizar a experiência educativa foram utilizados três instrumentos diferentes, em três momentos distintos da aprendizagem dos alunos, para que no final fosse possível verificar e identificar as principais dificuldades de aprendizagem do conceito de qualidade de vida. A análise e interpretação dos dados recolhidos e as conclusões retiradas remetem para a necessidade de compreensão das conceções prévias dos alunos, em História e em Geografia, no que diz respeito ao conceito de qualidade de vida para que os professores possam melhorar a sua a prática pedagógica e para que a aprendizagem tenha mais significado para os alunos.

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The aims of the study were to test the hypotheses that some symptoms of starvation/severe dietary restraint are interpreted by patients with eating disorders in terms or control. Sixty-nine women satisfying the Diagnostic and Statistical Manual of Mental Disorders - IV edition (DSM-IV) criteria for a clinical eating disorder and 107 controls participated in the Study. All the participants completed an ambiguous scenarios paradigm, the Eating Disorder Lamination Questionnaire (EDE-Q) and the Beck Depression Inventory (BDI). Significantly more eating disorder patients than non clinical participants interpreted the starvation/dietary restraint symptoms of hunger, heightened satiety, and dizziness in terms of control. The data give further Support to the recent cognitive-behavioural theory of eating disorders suggesting that eating disorder patients interpret some starvation/dietary restraint symptoms in terms of control.

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This paper investigates detection of architectural distortion in mammographic images using support vector machine. Hausdorff dimension is used to characterise the texture feature of mammographic images. Support vector machine, a learning machine based on statistical learning theory, is trained through supervised learning to detect architectural distortion. Compared to the Radial Basis Function neural networks, SVM produced more accurate classification results in distinguishing architectural distortion abnormality from normal breast parenchyma.

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The associative sequence learning model proposes that the development of the mirror system depends on the same mechanisms of associative learning that mediate Pavlovian and instrumental conditioning. To test this model, two experiments used the reduction of automatic imitation through incompatible sensorimotor training to assess whether mirror system plasticity is sensitive to contingency (i.e., the extent to which activation of one representation predicts activation of another). In Experiment 1, residual automatic imitation was measured following incompatible training in which the action stimulus was a perfect predictor of the response (contingent) or not at all predictive of the response (noncontingent). A contingency effect was observed: There was less automatic imitation indicative of more learning in the contingent group. Experiment 2 replicated this contingency effect and showed that, as predicted by associative learning theory, it can be abolished by signaling trials in which the response occurs in the absence of an action stimulus. These findings support the view that mirror system development depends on associative learning and indicate that this learning is not purely Hebbian. If this is correct, associative learning theory could be used to explain, predict, and intervene in mirror system development.

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By applying methods of cognitive metaphor theory, Jaworska examines metaphorical scenarios employed in the discourse of anti-Slavism, which featured prominently in radical nationalist propaganda in Germany at the turn of the twentieth century. She does so by analysing metaphorical expressions used to refer to the Polish population living in the eastern provinces of Prussia, in the so-called Ostmark. Her article is based on an analysis of a range of pamphlets and newspaper articles written by some of the leading figures of two nationalist organizations: the Pan-German League (Alldeutscher Verband) and the Eastern Marches Society(Ostmarkenverein). The main research questions it addresses are: What kind of metaphoric scenarios were used to depict the Polish minority, and to what extent were the metaphorical patterns of anti-Slavic imagery similar to those employed in the antisemitic propaganda of the Nazi era? Is there a discursive continuity between the radical nationalism of imperial Germany and the National Socialism of the Third Reich at the level of metaphorical scenarios? Ultimately, Jaworska attempts to contribute to a better understanding of the cognitive mechanisms underlying radical and essentially racist attitudes.

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After a person chooses between two items, preference for the chosen item will increase and preference for the unchosen item will decrease because of the choice made. In other words, we tend to justify or rationalize our past behavior by changing our attitude. This phenomenon of choice-induced preference change has been traditionally explained by cognitive dissonance theory. Choosing something that is disliked or not choosing something that is liked are both cognitively inconsistent, and in order to reduce this inconsistency, people tend to change their subsequently stated preference in accordance with their past choices. Previously, neuroimaging studies identified posterior medial frontal cortex (pMFC) as a key brain region involved in cognitive dissonance. However, it still remains unknown whether the pMFC plays a causal role in inducing preference change following cognitive dissonance. Here, we demonstrate that 25-min 1-Hz repetitive transcranial magnetic stimulation (TMS) applied over the pMFC significantly reduces choice-induced preference change compared to sham stimulation, or control stimulation over a different brain region, demonstrating a causal role for the pMFC.

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This paper explores the idea that stakeholder proximity, that is, how much/little experience a stakeholder has with a focal organization, impacts the extent to which stakeholders rely on strategic group characteristics as an anchor when judging the reputation of higher education institutions. We synthesize theories from psychology (ie, cognitive categorization theory) and management (ie, strategic group theory) to explore how stakeholder proximity may influence the formation of organizational reputation. Specifically, we examine how the proximity of three key stakeholders (N=1,049; prospective students, parents of students and hiring managers of new graduates) influences the perceived strategic character and generalized favorability of three distinct groups of post-secondary institutions (research-intensive universities, teaching-intensive universities and career colleges). Our results suggest that high proximity stakeholders rely less on strategic group characteristics, while reputation at a strategic group level is suggested to have greater influence on stakeholders who have less direct experience of and low proximity to an organization. Interestingly, our findings reveal some consistent differences between perceptions of prospective students and hiring managers that pose important theoretical questions about the role and impact of direct experiences in the reputation-building process, while also suggesting that higher education institutions may benefit significantly from differentiated marketing strategies according to issues of proximity.

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Purpose – The purpose of this paper is twofold: first, to provide a critical assessment of the literature on business incubation effectiveness and second, to submit a situated theoretical perspective on how business incubation management can provide an environment that supports the development of incubatee entrepreneurs and their businesses. Design/methodology/approach – The paper provides a narrative critical assessment of the literature on business incubation effectiveness. Definitional issues, performance aspects and approaches to establishing critical success factors in business incubation are discussed. Business incubation management is identified as an overarching factor for theorising on business incubation effectiveness. Findings – The literature on business incubation effectiveness suffers from several deficiencies, including definitional incongruence, descriptive accounts, fragmentation and lack of strong conceptual grounding. Notwithstanding the growth of research on this domain, understanding of how entrepreneurs and their businesses develop within the business incubator environment remains limited. Given the importance of relational, intangible factors in business incubation and the critical role of business incubation management in orchestrating and optimising such factors, it is suggested that theorising efforts would benefit from a situated perspective. Originality/value – The identification of specific shortcomings in the literature on business incubation highlights the need for more systematic efforts towards theory building. It is suggested that focusing on the role of business incubation management from a situated learning theory perspective can lend itself to a more profound understanding of the development process of incubatee entrepreneurs and their firms. Theoretical propositions are offered to this effect, as well as avenues for future research.

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The purpose of this presentation is to offer a deeper understanding of adult learning and provide tips on how to effectively teach in the online environment. The presenter will compare and contrast two learning theories: andragogy and pedagogy. Furthermore, the roles of the online instructor and e-learner will be outlined. An open discussion at the end of the presentation will allow participants to make implications as to which learning theory is more effective for online learning.