Sources of perceived support from friends in exercise : an application of self-determination theory /

Background: This study examined three social factors (i.e., autonomy support, structure, and involvement) and their relationship with the motivational processes proposed by Vallerand ( 1 997). This study explored sources of support for exercise participation. -~ ' Methods: Participants (N = 425) completed self-reported instruments which assessed variables outlined within Vallerand's ( 1 997) HMIEM. Results: Structural equation modeling analyses predicting the cognitive/affective and exercise behaviour accounted for 23 percent of variance in positive affect, 10 percent of variance in negative affect, 38 percent of variance in physical self-concept, and 4 percent of variance in exercise behaviour. Exploratory analyses revealed that friends, romantic partners, and educators to be consistent sources for providing autonomy support, structure, and involvement, f !,< r - r* Summary: This study is among the first to examine perceived sources oi autonomy support, structure, and involvement from friends in the exercise context and suggest such perceptions may contribute to motivating exercise behaviour in post-secondary students.

Examining the influence of family support on diabetes education behavioural outcomes

The purpose of this study was to examine the influence of family support on diabetes education behavioural outcomes, specifically in relation to diet, exercise, and blood glucose monitoring in adult individuals with Type 2 diabetes. Fifty-three individuals attending diabetes education for the first time were followed approximately 1 month. The findings for the influence of family support were mixed. Family attending diabetes class with participants had a positive influence with respect to diet. This is consistent with Carl Rogers (1969) who espouses setting a positive climate for learning and that learning new attitudes or information comes when external barriers are at a minimum. However family attending class with participants had no influence with respect to exercise or blood glucose monitoring. The family support action of encouraging with respect to diet overall did not influence healthy eating behaviours except for decreased skipped meals and scheduled snacks. In fact, in the areas of family willing to make healthy choices along with participant, the less the family was involved in encouraging, the better the participant did. Exercise on the other hand was influenced positively by family encouragement. This is consistent with Bandura's theory that enhancement of self-confidence and self-efficacy can lead to desired behaviour changes. Family encouragement however did not appear to influence blood glucose monitoring behaviours. This study has implications for practice in that diabetes education programs can encourage family to attend classes or get involved in encouraging the person with diabetes, so that it may help to increase healthy eating behaviours and exercise. As time is necessary to implement changes in behaviour, future research can look at the influence of family support over a 6-month, I-year, or greater period.

The impact of integrated programming on student attitude and achievement in grade 9 academic mathematics and science

This research studioo the effect of integrated instruction in mathematics and~ science on student achievement in and attitude towards both mathematics and science. A group of grade 9 academic students received instruction in both science and mathematics in an integrated program specifically developed for the purposes of the research. This group was compared to a control group that had received science and mathematics instruction in a traditional, nonintegrated program. The findings showed that in all measures of attitude, there was no significant difference between the students who participated in the integrated science and mathematics program and those who participated in a traditional science and mathematics program. The findings also revealed that integration did improve achievement on some of the measures used. The performance on mathematics open-ended problem-solving tasks improved after participation in the integrated program, suggesting that the integrated students were better able to apply their understanding of mathematics in a real-life context. The performance on the final science exam was also improved for the integrated group. Improvement was not noted on the other measures, which included EQAO scores and laboratory practical tasks. These results raise the issue of the suitability of the instruments used to gauge both achievement and attitude. The accuracy and suitability of traditional measures of achievement are considered. It is argued that they should not necessarily be used as the measure of the value of integrated instruction in a science and mathematics classroom.

KAIRON PROJECT : assessing the role of expressive arts in community-based breast cancer support systems in the Niagara Region

Research Report Written for the Canadian Breast Cancer Foundation.

Genetic programming for the RoboCup Rescue Simulation System

The Robocup Rescue Simulation System (RCRSS) is a dynamic system of multi-agent interaction, simulating a large-scale urban disaster scenario. Teams of rescue agents are charged with the tasks of minimizing civilian casualties and infrastructure damage while competing against limitations on time, communication, and awareness. This thesis provides the first known attempt of applying Genetic Programming (GP) to the development of behaviours necessary to perform well in the RCRSS. Specifically, this thesis studies the suitability of GP to evolve the operational behaviours required of each type of rescue agent in the RCRSS. The system developed is evaluated in terms of the consistency with which expected solutions are the target of convergence as well as by comparison to previous competition results. The results indicate that GP is capable of converging to some forms of expected behaviour, but that additional evolution in strategizing behaviours must be performed in order to become competitive. An enhancement to the standard GP algorithm is proposed which is shown to simplify the initial search space allowing evolution to occur much quicker. In addition, two forms of population are employed and compared in terms of their apparent effects on the evolution of control structures for intelligent rescue agents. The first is a single population in which each individual is comprised of three distinct trees for the respective control of three types of agents, the second is a set of three co-evolving subpopulations one for each type of agent. Multiple populations of cooperating individuals appear to achieve higher proficiencies in training, but testing on unseen instances raises the issue of overfitting.

Predictors of shy children's coping with a social conflict : mediators and moderators

Shy children are at risk for later maladjustment due to ineffective coping with social conflicts through reliance on avoidance, rather than approach-focused, coping. The purpose of the present study was to explore whether the relation between shyness and children's coping was mediated by attributions and moderated by personality selftheories and gender. Participants included a classroom-based sample of 175 children (93 boys), aged 9-13 years (M = 10.11 years, SD = 0.92). Children completed self-report measures assessing shyness, attributions, personality self-theories and coping strategies. Results showed that negative attribution biases partially mediated the negative relations between shyness and social support seeking, as well as problem-solving, and the positive association between shyness and externalizing. Moreover, self-theories moderated the relation between shyness and internalizing coping at the trend level, such that the positive relation was exacerbated among entity-oriented children to a greater degree than incrementally-oriented children. In terms of gender differences, shyness was related to lower use of social support and problem-solving among incrementally-oriented boys and entity-oriented girls. Thus, shy children's perceptions of social conflicts as the outcome of an enduring trait (e.g., social incompetence) may partially explain why they do not act assertively and aggress as a means of social coping. Furthermore, entity-oriented beliefs may exacerbate shy children's reliance on internalizing actions, such as crying. Although an incrementally-oriented stance may enhance shy girls' reliance on approach strategies, it does not appear to serve the same protective role for shy boys. Therefore, copingoriented interventions may need to focus on restructuring shy children's social cognitions and implementing gender-specific programming for their personality biases.

Retrospective on the Experience of Parental Pressure and Support by Male Participants that Withdrew from Competitive Youth Hockey: A Phenomenological Investigation

The purpose of this study was to gain an in-depth understanding of the lived experiences of parental pressure and support for males who withdrew from competitive youth hockey. A phenomenological approach was used to explore this phenomenon and develop meaning from the participants' experiences. Data for this study was collected by conducting one in-depth interview with each of the seven participants. Fourteen themes emerged as a result of the data analysis. These themes were grouped into three clusters: (1) Description of parental involvement: “I want them to be there and help me”; (2) Perceived impacts of parental involvement: “I felt like he actually cared”; and (3) Impact of parental involvement on commitment: “I kind of miss hockey now”. The descriptions provided by the participants in this study, and the themes that emerged, offer insight into what it is like for young males to experience parental involvement in competitive youth hockey.

Automatic Structure Generation using Genetic Programming and Fractal Geometry

Three dimensional model design is a well-known and studied field, with numerous real-world applications. However, the manual construction of these models can often be time-consuming to the average user, despite the advantages o ffered through computational advances. This thesis presents an approach to the design of 3D structures using evolutionary computation and L-systems, which involves the automated production of such designs using a strict set of fitness functions. These functions focus on the geometric properties of the models produced, as well as their quantifiable aesthetic value - a topic which has not been widely investigated with respect to 3D models. New extensions to existing aesthetic measures are discussed and implemented in the presented system in order to produce designs which are visually pleasing. The system itself facilitates the construction of models requiring minimal user initialization and no user-based feedback throughout the evolutionary cycle. The genetic programming evolved models are shown to satisfy multiple criteria, conveying a relationship between their assigned aesthetic value and their perceived aesthetic value. Exploration into the applicability and e ffectiveness of a multi-objective approach to the problem is also presented, with a focus on both performance and visual results. Although subjective, these results o er insight into future applications and study in the fi eld of computational aesthetics and automated structure design.

A stochastic dynamic programming approach for pricing options on stock-index futures

The aim of this thesis is to price options on equity index futures with an application to standard options on S&P 500 futures traded on the Chicago Mercantile Exchange. Our methodology is based on stochastic dynamic programming, which can accommodate European as well as American options. The model accommodates dividends from the underlying asset. It also captures the optimal exercise strategy and the fair value of the option. This approach is an alternative to available numerical pricing methods such as binomial trees, finite differences, and ad-hoc numerical approximation techniques. Our numerical and empirical investigations demonstrate convergence, robustness, and efficiency. We use this methodology to value exchange-listed options. The European option premiums thus obtained are compared to Black's closed-form formula. They are accurate to four digits. The American option premiums also have a similar level of accuracy compared to premiums obtained using finite differences and binomial trees with a large number of time steps. The proposed model accounts for deterministic, seasonally varying dividend yield. In pricing futures options, we discover that what matters is the sum of the dividend yields over the life of the futures contract and not their distribution.

Exploring the Perceptions of Cultural Competence Among Personal Support Workers in an Ontario Long-Term Care Home: A Case Study

Personal Support Workers (PSWs) spend a large amount of time with long-term care (LTC) home residents providing assistance with their activities of daily living. The s limited research on their perceptions of cultural competence presents the need to bridge this knowledge gap. The researcher conducted a qualitative case study at a LTC home in Ontario. Data were collected by conducting a policy document analysis, a key informant interview with the Director of Care (DOC), and two focus groups with PSWs. The five major overarching themes were: The Culture of the LTC Home, Provision of a Supportive Environment, Collaborative Team Approach to Care, Building a Relationship with the Residents, and Maintenance of Staff Morale. The findings illuminated the broad nature of culture, connections to person centered care, and the factors that facilitate or hinder PSWs’ culturally competent care. The ambiguous perception of cultural competence among PSWs suggests further research and education on cultural competence in LTC home settings.

A Home at School: Building Stronger Indigenous People through Cultural Resurgence in an Urban Ontario Public School Context.

In this thesis, I work through the educational narratives of young Aboriginal women and men as I explore the relationship between cultural programming and student engagement. My analysis is structured through a collaborative Indigenous research project. My overarching task is to explore how a cultural support program, the Native Youth Advancement with Education Hamilton (NYA WEH) Program, offered at Sir John A. Macdonald Secondary School, located in Hamilton, Ontario, Canada, attempts to re-imagine Aboriginal education in ways that directly challenge the residential school legacy. In particular, I work to illuminate how particular forms of Aboriginal education are connected to the graduation rates of Aboriginal youth. I argue that the ways in which the NYA WEH Program navigates Native Studies curriculum, relationships, and notions of culture and tradition are significant to the engagement of Aboriginal youth. This research develops theoretical connections between the contemporary experience of Aboriginal social inequality and educational initiatives which attempt to reverse that legacy. By placing the NYA WEH Program narratives side-by-side with literature supporting Aboriginal education for Self-determination, I work to learn how to best support and encourage Aboriginal student engagement in secondary schools across Ontario.

Genetic Programming for Non-Photorealistic Rendering

This thesis focuses on developing an evolutionary art system using genetic programming. The main goal is to produce new forms of evolutionary art that filter existing images into new non-photorealistic (NPR) styles, by obtaining images that look like traditional media such as watercolor or pencil, as well as brand new effects. The approach permits GP to generate creative forms of NPR results. The GP language is extended with different techniques and methods inspired from NPR research such as colour mixing expressions, image processing filters and painting algorithm. Colour mixing is a major new contribution, as it enables many familiar and innovative NPR effects to arise. Another major innovation is that many GP functions process the canvas (rendered image), while is dynamically changing. Automatic fitness scoring uses aesthetic evaluation models and statistical analysis, and multi-objective fitness evaluation is used. Results showed a variety of NPR effects, as well as new, creative possibilities.

Self-Regulated Learning and Children At-Risk for Learning Disabilities: Using Motivational Tactics to Support "Reading Rocks!"

This project explored self-regulation among children impacted by leaming disabilities. More specifically, this thesis examined whether a remedial literacy program called Reading Rocks! offered by the Leaming Disabilities Association of Niagara Region, provided participating children opportunities to set goals, develop strategies to meet these goals, and provide intemal and extemal feedback- all processes associated with a model of self-regulated leaming as pioneered by Butler and Winne (1995) and Winne and Hadwin (1999). In this thesis, I triangulate the data through the combination of three different methodologies. Firstly, I describe the various elements of the Reading Rocks! program. Secondly, I analyze the data gathered through three semi-structured interviews with three parents of children that participated in the Reading Rocks! program to demonstrate whether the program provides opportunities for children to self-regulate their learning. Thirdly, I also analyze photographic evidence of the motivational workstation boards created by the tutors and children to further illustrate how Reading Rocks! promotes self-regulatory processes among children.

Automatic Inference of Graph Models for Complex Networks with Genetic Programming

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.