Beyond the Veil: A Case Study of Context, Culture, Curriculum, and Constructivism at Dubai Women's College

This case study of curriculum at Dubai Women's College (DWC) examines perceptions of international educators who designed and implemented curriculum for female Emirati higher-educational students in the UAE, and sheds light on the complex social, cultural, and religious factors affecting educational practice. Participants were faculty and supervisors, mainly foreign nationals, while students at DWC are exclusively Emirati. Theories prominent in this study are: constructivist learning theory, trans formative curriculum theory, and sociological theory. Change and empowerment theory figure prominently in this study. Findings reveal this unique group of educators understand curriculum theory as a "contextualized" construct and argue that theory and practice must be viewed through an international lens of religious, cultural, and social contexts. As well, the study explores how mandated "standards" in education-in the form of the International English Language Testing System (IEL TS) and integrated, constructivist curriculum, as taught in the Higher Diploma Year 1 program-function as dual curricular emphases in this context. The study found that tensions among these dual emphases existed and were mediated through specific strategies, including the use of authentic texts to mirror the IEL TS examination during in-class activities, and the relevance of curricular tasks.

Imagery, Technology, and Remote Adult Aboriginal Teacher Candidates: A Brock University Pilot Project

The aim of this thesis is to explore the relationship between imagery, technology, and remote adult Aboriginal teacher candidates through the computer software Elluminate Live. It focuses on the implications that the role imagery plays in third generation distance education with these learners and the new media associated therein. The thesis honours the Medicine Wheel teachings and is presented within this cyclical framework that reflects Indigenous philosophies and belief systems. In accordance, Sharing Circle as methodology is used to keep the research culturally grounded, and tenets of narrative inquiry further support the study. Results indicate there are strong connections to curricula enhanced with imagery—most notably a spiritual connection. Findings also reveal that identity associated to geographical location is significant, as are supportive networks. Third generation distance education, such as Elluminate Live, needs to be addressed before Aboriginal communities open the doors to all it encompasses, and although previous literature peers into various elements, this study delves into why the graphical interface resonates with members of these communities. Of utmost importance is the insight this thesis lends to the pedagogy that may possibly evoke a transformative learning process contributing to the success rate of Aboriginal learners and benefit Aboriginal communities as a whole.

Top-down and Bottom-up influences on ACC activation: Evaluation of a proposed model of the feedback-related negativity

The Feedback-Related Negativity (FRN) is thought to reflect the dopaminergic prediction error signal from the subcortical areas to the ACC (i.e., a bottom-up signal). Two studies were conducted in order to test a new model of FRN generation, which includes direct modulating influences of medial PFC (i.e., top-down signals) on the ACC at the time of the FRN. Study 1 examined the effects of one’s sense of control (top-down) and of informative cues (bottom-up) on the FRN measures. In Study 2, sense of control and instruction-based (top-down) and probability-based expectations (bottom-up) were manipulated to test the proposed model. The results suggest that any influences of medial PFC on the activity of the ACC that occur in the context of incentive tasks are not direct. The FRN was shown to be sensitive to salient stimulus characteristics. The results of this dissertation partially support the reinforcement learning theory, in that the FRN is a marker for prediction error signal from subcortical areas. However, the pattern of results outlined here suggests that prediction errors are based on salient stimulus characteristics and are not reward specific. A second goal of this dissertation was to examine whether ACC activity, measured through the FRN, is altered in individuals at-risk for problem-gambling behaviour (PG). Individuals in this group were more sensitive to the valence of the outcome in a gambling task compared to not at-risk individuals, suggesting that gambling contexts increase the sensitivity of the reward system to valence of the outcome in individuals at risk for PG. Furthermore, at-risk participants showed an increased sensitivity to reward characteristics and a decreased response to loss outcomes. This contrasts with those not at risk whose FRNs were sensitive to losses. As the results did not replicate previous research showing attenuated FRNs in pathological gamblers, it is likely that the size and time of the FRN does not change gradually with increasing risk of maladaptive behaviour. Instead, changes in ACC activity reflected by the FRN in general can be observed only after behaviour becomes clinically maladaptive or through comparison between different types of gain/loss outcomes.

The Impact of Mindfulness Meditation on Educator Growth and Professional Development: A Personal Account

This study examined the use of mindfulness meditation in educator growth and professional development. The purpose was to create recommendations for an effective mindfulness meditation practice for educators. To this end, as the researcher is an educator as well as an experienced mindfulness meditation practitioner, the research methodology was self-study through narrative inquiry. The exploration of mindfulness meditation on the researcher’s personal and professional development was viewed through the lenses of Maslow’s hierarchy of needs and Mezirow’s transformational learning theory. These theories provided an analytical framework that guided this research. Themes were drawn from the exploration and connected with academic literature. The results were a mindfulness meditation framework for educators that is based on the Socratic Method, and utilizes the conceptual frameworks of Maslow’s hierarchy of needs and Mezirow’s transformational learning theory.

Les apprentissages impliqués dans le développement spirituel d'adultes qui commencent ou recommencent une démarche d'éducation catholique

Mémoire numérisé par la Division de la gestion de documents et des archives de l'Université de Montréal

Operational Flexibility: A Model for Effective Project Management

The aim of this study is to investigate the role of operational flexibility for effective project management in the construction industry. The specific objectives are to: a) Identify the determinants of operational flexibility potential in construction project management b) Investigate the contribution of each of the determinants to operational flexibility potential in the construction industry c) Investigate on the moderating factors of operational flexibility potential in a construction project environment d) Investigate whether moderated operational flexibility potential mediates the path between predictors and effective construction project management e) Develop and test a conceptual model of achieving operational flexibility for effective project management The purpose of this study is to findout ways to utilize flexibility inorder to manage uncertain project environment and ultimately achieve effective project management. In what configuration these operational flexibility determinants are demanded by construction project environment in order to achieve project success. This research was conducted in three phases, namely: (i) exploratory phase (ii) questionnaire development phase; and (iii) data collection and analysis phase. The study needs firm level analysis and therefore real estate developers who are members of CREDAI, Kerala Chapter were considered. This study provides a framework on the functioning of operational flexibility, offering guidance to researchers and practitioners for discovering means to gain operational flexibility in construction firms. The findings provide an empirical understanding on kinds of resources and capabilities a construction firm must accumulate to respond flexibly to the changing project environment offering practitioners insights into practices that build firms operational flexibility potential. Firms are dealing with complex, continuous changing and uncertain environments due trends of globalization, technical changes and innovations and changes in the customers’ needs and expectations. To cope with the increasingly uncertain and quickly changing environment firms strive for flexibility. To achieve the level of flexibility that adds value to the customers, firms should look to flexibility from a day to day operational perspective. Each dimension of operational flexibility is derived from competences and capabilities. In this thesis only the influence on customer satisfaction and learning exploitation of flexibility dimensions which directly add value in the customers eyes are studied to answer the followingresearch questions: “What is the impact of operational flexibility on customer satisfaction?.” What are the predictors of operational flexibility in construction industry? .These questions can only be answered after answering the questions like “Why do firms need operational flexibility?” and “how can firms achieve operational flexibility?” in the context of the construction industry. The need for construction firms to be flexible, via the effective utilization of organizational resources and capabilities for improved responsiveness, is important because of the increasing rate of changes in the business environment within which they operate. Achieving operational flexibility is also important because it has a significant correlation with a project effectiveness and hence a firm’s turnover. It is essential for academics and practitioners to recognize that the attainment of operational flexibility involves different types namely: (i) Modification (ii) new product development and (iii) demand management requires different configurations of predictors (i.e., resources, capabilities and strategies). Construction firms should consider these relationships and implement appropriate management practices for developing and configuring the right kind of resources, capabilities and strategies towards achieving different operational flexibility types.

A Note on the Generalization Performance of Kernel Classifiers with Margin

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.

Comparing Support Vector Machines with Gaussian Kernels to Radial Basis Function Classifiers

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.

Neural Networks

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.

A Note on Support Vector Machines Degeneracy

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.

La comprensión temprana de la adquisición del conocimiento: viejas propuestas, nuevos horizontes

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.

Uso y efectividad de la relación estratégica comunitaria y el marketing en empresas del sector aeronáutico

La relación estratégica comunitaria busca la atracción y retención de clientes a través del entendimiento de los consumidores dentro del contexto social que los rodea, es decir, una estrategia de mercadeo que busca relaciones duraderas con sus clientes a través del desarrollo de las comunidades en las cuales están insertos, logrando así beneficios para ambas partes, empresa y comunidad, y una relación de negocios sostenible a través del tiempo. Este trabajo busca determinar cuál es el uso y la efectividad de la relación estratégica comunitaria y el marketing en el sector aeronáutico, pasando por la identificación de las estrategias de mercadeo, los conceptos comunitarios y el uso de las estrategias comunitarias al interior del sector. Para determinar esto, se tomó a Avianca como muestra en el período 2004-2014 y se buscó la relación de su mercadeo y sus acciones sociales con las estrategias comunitarias, sin embargo los resultados arrojaron que no existe una relación estratégica comunitaria en la compañía, a pesar de manejar conceptos comunitarios en sus proyectos sociales.

A importância dos conceitos prévios na Aprendizagem da história e da Geografia: as dificuldades de aprendizagem do conceito de qualidade de vida, no 9º ano de escolaridade, num meio psicossocial rural

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.

Investigation of support vector machine for the detection of architectural distortion in mammographic images

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.

Acquisition of automatic imitation is sensitive to sensorimotor contingency

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.