13 resultados para Circulation of education models

em Brock University, Canada


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Signed sweatshirt from the class of 1996-97.

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Although alcohol problems and alcohol consumption are related, consumption does not fully account for differences in vulnerability to alcohol problems. Therefore, other factors should account for these differences. Based on previous research, it was hypothesized that risky drinking behaviours, illicit and prescription drug use, affect and sex differences would account for differences in vulnerability to alcohol problems while statistically controlling for overall alcohol consumption. Four models were developed that were intended to test the predictive ability of these factors, three of which tested the predictor sets separately and a fourth which tested them in a combined model. In addition, two distinct criterion variables were regressed on the predictors. One was a measure of the frequency that participants experienced negative consequences that they attributed to their drinking and the other was a measure of the extent to which participants perceived themselves to be problem drinkers. Each of the models was tested on four samples from different populations, including fIrst year university students, university students in their graduating year, a clinical sample of people in treatment for addiction, and a community sample of young adults randomly selected from the general population. Overall, support was found for each of the models and each of the predictors in accounting for differences in vulnerability to alcohol problems. In particular, the frequency with which people become intoxicated, frequency of illicit drug use and high levels of negative affect were strong and consistent predictors of vulnerability to alcohol problems across samples and criterion variables. With the exception of the clinical sample, the combined models predicted vulnerability to negative consequences better than vulnerability to problem drinker status. Among the clinical and community samples the combined model predicted problem drinker status better than in the student samples.

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This study examined how the athletic career of Roderick R. McLennan contributed to the popularization and subsequent development of Caledonian games in Ontario during the latter nineteenth century. Initially, the development of Caledonian games during the 1800s was examined to provide a contextual framework for McLennan's career. This investigation revealed that the games emerged from rural athletic events at pioneer working bees in the first quarter of the nineteenth century to regional sporting events by the mid-1800s, and finally into annual federated Caledonian games in 1870. Noteworthy primary source material for this chapter included the John MacGillivray Papers at the National Archives of Canada, the Scottish American Journal (NY) and the files retained by the Glengarry Sport Hall of Fame in Maxville, Ontario. Following the investigation of Caledonian games, McLennan's early athletic career was studied. Analysis of the Roderick and Farquhar McLennan Papers at the Archives of Ontario and the newspapers from the period revealed that McLennan rose to popularity in 1865 through a "Championship of the World" hammer throwing match in Cornwall and two "Starring Tours". The next chapter examined the height of McLennan's career through an investigation of the Roderick McLennan versus Donald Dinnie rivalry of the early .. n 1870s. It was detennined that the rivalry between McLennan and Dinnie, the champion athlete of Highland games in Scotland, was a popular attraction and had an impact on the Toronto and Montreal games of 1870 and the Toronto games of 1872. Finally, the athletic records established by McLennan during the 1860s and 1870s were investigated. These records were examined through the context of a media controversy over McLennan's feats that developed in the early 1880s between two newspapers. This controversy erupted between the Toronto Mail and the Spirit of the Times. Caledonian games in Canada have only been briefly examined and a thorough examination of prominent Canadian figures in this context has yet to be undertaken. This study unearths a prominent Canadian athlete of Scottish decent and details his involvement in the Caledonian games of nineteenth century Ontario.

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Fifteen mentoring pairs of teachers were randomly selected from each group of teachers that had participated in the Halton Board of Education "Partners in the Classroom" program during 1988/89, 1989/90, and 1990/91. Each teacher was personally interviewed. Interviews were recorded, transcriptions were prepared and examined and analyzed. During the first part of the interview questions were asked regarding personal and professional demographics. The purpose of the second part of the interview was to gain information relating to the development of the relationships, over a three-year period, between mentor and mentee teacher participants in the "Partners in the Classroom" program. The analysis of the data suggest that there are identifiable changes in the development of the relationship between the mentor teacher and the mentee teacher over time. Implications from the study results that could enhance the induction program for new teachers are discussed.

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The study determined students' perceptions of self-directed learning in their courses. Tests to assess perceptions are not being used in many programs. Assessments such as the Self-Directed Readiness Scale (SDLRS) and the Oddi continuing Learning Inventory (OCLI) have weaknesses that may have affected the use of tests. In this study, the creation of the Self-Directed Learning Test (SDLT) monitored students' perceptions by addressing what students were told before registration, how much input students had in developing the structure of the course, how much input students have in determining the evaluation for the course, what style of learning is taking place, and the characteristics of learning found among students. Fifty-one students in the pre-service program at Brock University completed the SDLT. Results showed that 47.1% of the sample liked self-directed learning. Several students who stated that they did not like selfdirected learning did not know what self-directed learning was. Results supported Brookfield's (1986) claim for more education on what self-directed learning is. The study did not support Knowles' (1980) assumption that adult students know and want to follow self-directed approaches to learning. The SDLT is a good method for monitoring self-directed learning and how students perceive their courses.

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The purpose of this study was to examine the relationship between the level of education that Canadian women have and their use of breast self-examination (BSE). The secondary objective of this study was to do some exploratory research to measure how the demographic characteristics of these women, and the behaviours that they chose to participate in, might be associated to their use of BSE. This exploratory research was done to gain a better understanding of what kinds of lifestyle and behavioural factors are associated with the use of BSE, and how these factors impact on the relationship that education has on women's use of BSE. The data for the women in the sample were taken from the 1990 Population Health Survey, conducted by Statistics Canada. This survey included questions related to both the demographic characteristics of this population, and their behavioural choices in regards to various healthy lifestyle factors. Education was found to be significantly related to the use of BSE. Many of the demographic variables (age, income, marital status and language) were also found to be significantly related to the use of BSE. The behavioural variables (tobacco use, alcohol use) did not reflect such a strong relationship.

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This study addressed the problem of the quality of life in the Brock Master of Education program. Survey and interview data were used to gain an understanding of satisfaction with the learning achieved and student life experienced. Eighty-seven percent of the study sample reported satisfaction with the program overall. Results suggested the higher the overall satisfaction with a program, the greater the likelihood learning and student life satisfaction were also more positive. Student reflections suggested satisfaction with the quality of life in the program was associated with the program's focus on the student, the use of self-directed learning, and the support of professors to meet student needs. Comparison of the Brock Master of Education survey with the Brock Pre-Service Teacher Education program showed both student groups shared a similar satisfaction with student life in the Faculty. Comparison of Master of Education programs suggested the difference between two programs, a difference which may be influenced by time in the program. The results from the three programs suggested that students beyond the first undergraduate degree favored the school domains of learning acquisition. Supplementary data on the relationship between cognitive and affective opinions suggested the more positive the affective dimension of learning, the greater the likelihood the cognitive dimensions of student life were also more positive. It was concluded that time was a chief factor influencing part-time student satisfaction with both learning and student life in the program. Part-time students, as. the majority in the survey, expressed comments about the need for clarity of communication between the organization and student to promote the effective use of limited time.

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The present research focused on the pathways through which the symptoms of posttraumatic stress disorder (PTSD) may negatively impact intimacy. Previous research has confirmed a link between self-reported PTSD symptoms and intimacy; however, a thorough examination of mediating paths, partner effects, and secondary traumatization has not yet been realized. With a sample of 297 heterosexual couples, intraindividual and dyadic models were developed to explain the relationships between PTSD symptoms and intimacy in the context of interdependence theory, attachment theory, and models of selfpreservation (e.g., fight-or-flight). The current study replicated the findings of others and has supported a process in which affective (alexithymia, negative affect, positive affect) and communication (demand-withdraw behaviour, self-concealment, and constructive communication) pathways mediate the intraindividual and dyadic relationships between PTSD symptoms and intimacy. Moreover, it also found that the PTSD symptoms of each partner were significantly related; however, this was only the case for those dyads in which the partners had disclosed most everything about their traumatic experiences. As such, secondary traumatization was supported. Finally, although the overall pattern of results suggest a total negative effect of PTSD symptoms on intimacy, a sex difference was evident such that the direct effect of the woman's PTSD symptoms were positively associated with both her and her partner's intimacy. I t is possible that the Tend-andBefriend model of threat response, wherein women are said to foster social bonds in the face of distress, may account for this sex difference. Overall, however, it is clear that PTSD symptoms were negatively associated with relationship quality and attention to this impact in the development of diagnostic criteria and treatment protocols is necessary.

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This study followed a qualitative research approach to investigate how welleducated professionals see the role of formal education in building human capital. Individuals need to understand the relationship between education and their human capital to justify the time and money they invested to get their education. Colleges and universities need to know the value of their output, to better value and promote the process of knowledge production and transmission and help the general public appreciate their work more. While the importance of a good education is a key factor in the success of learners, this study revealed the power of social capital in making this success a reality. It may not be enough for an individual to acquire good education to guarantee a better future. The power of social connections can be the main determinant in one’s wellbeing. This study shows that it is important to address students’ life outside school beside the importance of a classroom education.

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Complex networks can arise naturally and spontaneously from all things that act as a part of a larger system. From the patterns of socialization between people to the way biological systems organize themselves, complex networks are ubiquitous, but are currently poorly understood. A number of algorithms, designed by humans, have been proposed to describe the organizational behaviour of real-world networks. Consequently, breakthroughs in genetics, medicine, epidemiology, neuroscience, telecommunications and the social sciences have recently resulted. The algorithms, called graph models, represent significant human effort. Deriving accurate graph models is non-trivial, time-intensive, challenging and may only yield useful results for very specific phenomena. An automated approach can greatly reduce the human effort required and if effective, provide a valuable tool for understanding the large decentralized systems of interrelated things around us. To the best of the author's knowledge this thesis proposes the first method for the automatic inference of graph models for complex networks with varied properties, with and without community structure. Furthermore, to the best of the author's knowledge it is the first application of genetic programming for the automatic inference of graph models. The system and methodology was tested against benchmark data, and was shown to be capable of reproducing close approximations to well-known algorithms designed by humans. Furthermore, when used to infer a model for real biological data the resulting model was more representative than models currently used in the literature.

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This is a study of education students’ conceptions of and experiences with academic stress and help-seeking. The study explored teacher education and Master of Education students’ academic stress by examining causes of academic stress and how these stressors affect students’ academic and university experiences. Stress-related help-seeking was also a focus of this study, and was explored using inquiries regarding where participants sought stress-related support. Additionally, exploring students’ use of the Internet for stress-related information or support was a goal of this study. These research goals were pursued using a qualitative methodology that applied grounded theory design. Consequently, data were used to develop a theory that would contribute to existing literature. Specifically, participant descriptions related to causes of and responses to academic stress aligned with Maslow’s (1954) theory of human motivation and Alderfer’s (1969) E. R. G. theory, and led to theoretical contributions that took a hierarchy of student needs and motivation into consideration.

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A complex network is an abstract representation of an intricate system of interrelated elements where the patterns of connection hold significant meaning. One particular complex network is a social network whereby the vertices represent people and edges denote their daily interactions. Understanding social network dynamics can be vital to the mitigation of disease spread as these networks model the interactions, and thus avenues of spread, between individuals. To better understand complex networks, algorithms which generate graphs exhibiting observed properties of real-world networks, known as graph models, are often constructed. While various efforts to aid with the construction of graph models have been proposed using statistical and probabilistic methods, genetic programming (GP) has only recently been considered. However, determining that a graph model of a complex network accurately describes the target network(s) is not a trivial task as the graph models are often stochastic in nature and the notion of similarity is dependent upon the expected behavior of the network. This thesis examines a number of well-known network properties to determine which measures best allowed networks generated by different graph models, and thus the models themselves, to be distinguished. A proposed meta-analysis procedure was used to demonstrate how these network measures interact when used together as classifiers to determine network, and thus model, (dis)similarity. The analytical results form the basis of the fitness evaluation for a GP system used to automatically construct graph models for complex networks. The GP-based automatic inference system was used to reproduce existing, well-known graph models as well as a real-world network. Results indicated that the automatically inferred models exemplified functional similarity when compared to their respective target networks. This approach also showed promise when used to infer a model for a mammalian brain network.

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Complex networks are systems of entities that are interconnected through meaningful relationships. The result of the relations between entities forms a structure that has a statistical complexity that is not formed by random chance. In the study of complex networks, many graph models have been proposed to model the behaviours observed. However, constructing graph models manually is tedious and problematic. Many of the models proposed in the literature have been cited as having inaccuracies with respect to the complex networks they represent. However, recently, an approach that automates the inference of graph models was proposed by Bailey [10] The proposed methodology employs genetic programming (GP) to produce graph models that approximate various properties of an exemplary graph of a targeted complex network. However, there is a great deal already known about complex networks, in general, and often specific knowledge is held about the network being modelled. The knowledge, albeit incomplete, is important in constructing a graph model. However it is difficult to incorporate such knowledge using existing GP techniques. Thus, this thesis proposes a novel GP system which can incorporate incomplete expert knowledge that assists in the evolution of a graph model. Inspired by existing graph models, an abstract graph model was developed to serve as an embryo for inferring graph models of some complex networks. The GP system and abstract model were used to reproduce well-known graph models. The results indicated that the system was able to evolve models that produced networks that had structural similarities to the networks generated by the respective target models.