A study of the role learning and socialization during the transition from teacher to elementary school administrator

This thesis examined the role transition from an elementary teacher to an elementary principal. In particular, the training and socialization process of becoming an elementary principal was explored through the study of the hierarchical and political structure of a southern Ontario school board, and how this influenced the learning experiences of new elementary principals. A qualitative methodology, with a grounded theory design, was employed to investigate this process through interviews with 10 participants to examine their experiences and role learning occurs during their development. Specifically, participants perspective shifts, developmental experiences, understanding of group culture, and expansion of a board profile were highlighted in the data. One of the compelling results of the study was the degree to which principals of aspiring administrators influence the socialization of their subordinates. The beliefs and practices of the school principal determine the socialization orientation that teachers and vice-principals will experience during role learning. The results of this study also imply that role orientation needs to be understood as a continuum between custodial and innovative role assumption. Varying degrees of custodianship or innovation depended on the context of the administrative placement and the personal attributes of administrative candidates. Principals who are willing to share responsibilities, who are good communicators, and who wish to develop a collaborative relationship with their viceprincipals are the individuals the participants in this study described as making the best mentors.

The influence of physical activity behaviour on the relationship between motor proficiency and body composition in children

There is an emerging awareness that children with poor motor abilities are at particular risk for overweight. This cross-sectional study examined the influence of physical activity behaviour on the relationship between motor proficiency and body composition. Participants were 1287 (646 males, 641 females) Grade 6 students in the Physical Health Activity Study project. Height, weight, waist girth, and motor proficiency (Bruininks-Oseretsky Test of Motor Performance BOTMP-SF) were assessed. Physical activity behaviours were also evaluated with a multifaceted approach and reported for school-based, non-school based physical activity, free-time play, and sedentary activities (Participation Questionnaire), and leisure time exercise (Godin-Shephard Leisure Time Exercise Questionnaire GS). Overweight was defined by BMI scores: boys :::20.6-21.2 and <25.1-26.0; girls: ::: 20.7-21.7and <25.4-26.7 and obesity was defined as: boys:::: 25.1-26.0; girls: :::25.4-26.7. Children were classified as case group (CG,::; 10% on BOTMP-SF), borderline case group (BC, > 10% to ::; 20% on BOTMP-SF) or non-case group. Analyses of variance (ANOVAs) uncovered a significant difference in overweight and obesity between the case group and non-case group. Normal-weight children reported higher participation in organized school-sports (intra-mural and inter-school teams). The CG reported significantly lower participation in school sports teams and lower GS results, with a trend towards lower participation in all active pursuits. They also reported a significantly higher duration of television watching and book reading. There were no significant differences between motor proficiency groups by gender, age, nonschool sports, or free-time activity. Multivariate ordinal logistic regression analysis showed that the case group was 10.9 times more likely to be overweight/obese than their peers. No single aspect of physical activity was able to explain the difference in odds ratios for the motor proficiency groups. However, for the entire cohort, children who participated in more organized school sports were less likely to be overweight/obese. These findings confirm that children with low motor proficiency are at significant risk of developing overweight. It is evident that these children have generally attenuated activity levels and heightened levels of sedentary pursuits. School-based activities appear particularly limited, and are the one area where children have near autonomy in their decision to pursue active opportunities. The promotion of school-based programs, specifically intramural sports may be an important aspect in increasing children's overall activity levels. It is also essential to consider the needs of those children with low motor proficiency when designing activity promotion programs. Future research should further explore motor proficiency and overweight/obesity.

Bullying in physical education : its prevalence & impact on the intention to continue secondary school physical education

The purpose of this study was to determine the prevalence of bullying in physical education and its influence on students' intention to participate in the class in the future. Additionally, the study researched the relationship between bullying and body image as well as bullying and physical competency in physical education. A survey was utilized that collected both quantitative and qualitative data about students' experiences in physical education. Two-hundred and thirty-four grade 10 students (144 female and 90 male) from 8 different secondary schools participated in the study. Data analyses were completed using the Statistical Package for the Social Sciences (SPSS) version 16.0. Results showed thaLapproximately 18.3% of respondents had .experienced physical bullying in physical education; 23.7% had experienced verbal bullying; and 20.4% experienced social bullying. Furthermore, those who experienced frequent bullying in physical education did not intend on taking the class in the future. The relationship between body image and bullying was not found to be significant. However, physical competence was found to significantly predict bullying in physical education. These results show how prevalent bullying is in physical education classes and how it negatively impacts future participation in the class.

A Temporal Analysis of Emotions in Girls' Secondary School Physical Education Games and Fitness Classes

Female enthusiasm towards engaging in physical education (PE) significantly decreases with age as it provides females with positive and negative emotional experiences. This study examined emotions within four grade nine female PE soccer and fitness classes (N = 67). Emotional patterns were studied over time and across two units of instruction and in relation to student grades. A mixed-method approach was utilized assessing the state emotions of shame, enjoyment, anxiety, and social physique anxiety (SPA). Results revealed unsatisfactory internal consistency for shame and thus it was removed. Statistical analysis revealed no significant changes in emotions over time, whereas qualitative analysis found that state emotions were inconsistent. Statistical analysis indicated that students in the fitness classes reported significantly higher levels of anxiety and SPA on the final class (p < .01). Qualitative analysis signaled different origins and themes of students‟ emotions. No predictive relationship between emotion and students‟ grade was found.

Exploring School Principals’ Perspectives on Emotional Intelligence

Ontario school principals’ professional development currently includes leadership training that encompasses emotional intelligence. This study sought to augment the limited research in the Canadian educational context on school leaders’ understanding of emotional intelligence and its relevancy to their work. The study utilized semi-structured interviews with 6 Ontario school principals representing disparate school contexts based on socioeconomic levels, urban and rural settings, and degree of ethnic diversity. Additionally, the 4 male and 2 female participants are elementary and secondary school principals in different public school boards and represent a diverse range of age and experience. The study utilized a grounded theory approach to data analysis and identified by 5 main themes: Self-Awareness, Relationship, Support, Pressure, and Emotional Filtering and Compartmentalization. Recommendations are made to further explore the emotional support systems available to school leaders in Ontario schools.

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.

The relationship between socioeconomic status, schools and bone health among adolescent females in Southern Ontario

We studied the association between socioeconomic status (SES), school attended and bone health measured by bone speed of sound (SOS) among adolescent females in Canada. 412 participants from six randomly selected schools in Southern Ontario were examined. Bone SOS was measured by quantitative ultrasound. Participant’s school and aggregate area-based census-derived (AABCD) SES were evaluated as predictors. Mean participant age was 15.7 (SD 1.0) years. Average median family income was $68,162 (SD $19,366). Median family income was non-linearly associated with bone SOS and restricted cubic splines described the relationship. Univariate regression, accounting for clustering of participants in schools, revealed a significant non-linear association between AABCD-median family income and non-dominant tibial SOS (LRT p = 0.031). Multivariable regression revealed school to have a significant impact (LRT p = 0.0001). High schools had a strong influence on the bone health of female students and this effect overrode the effect of SES.

The relationship between parental practices and suicidal behaviors in Québec adolescents

Sommaire Cette thèse examine les liens entre la présence de risques suicidaires chez les adolescents et leur perception des pratiques de chacun de leurs parents. L’étude a examiné l’association entre le comportement suicidaire et différents aspects des pratiques parentales incluant l’affection, l’exercice du contrôle comportemental et psychologique ainsi que les conflits entre parent et adolescents. La thèse a également examiné l’effet du statut matrimonial des parents sur le comportement suicidaire chez les jeunes. Le dernier objectif de l’étude a été d’explorer le rôle du sexe de l’adolescent comme facteur de vulnérabilité face au suicide. L’échantillon de l’étude était composé 1096 adolescents Montréalais, âgés de 11 à 18 ans. L’échantillon était également réparti entre filles et garçons, fréquentant deux écoles secondaires de la région de Montréal, dans la province du Québec au Canada. Il y avait deux groupes à l’étude : le groupe suicidaire et le groupe non-suicidaire. Le premier groupe incluait les sujets présentant des idéations suicidaires et ceux ayant fait une ou plusieurs tentatives de suicide. Un questionnaire auto-rapporté fut administré à chaque sujet pour évaluer les dimensions suivantes auprès de la mère et du père : le niveau de proximité affective, le niveau de supervision parentale, le contrôle comportemental et le contrôle psychologique, la tolérance à l’égard des amis, ainsi que la fréquence et l’impact émotionnel des conflits. Une échelle a également évalué la présence éventuelle de comportements suicidaires chez les jeunes. Dans le but de tester l’hypothèse de base de l’étude, une série d’analyses descriptives et une MANCOVA ont été réalisées. L’hypothèse générale de la thèse postulant que les adolescents ayant des risques suicidaires présenteraient des relations plus problématiques avec leurs parents fut confirmée. En contrôlant l’effet de la détresse psychologique des adolescents, les analyses ont mené à la conclusion que, dans les familles biparentales, un faible niveau de proximité affective avec la mère, une fréquence plus élevée de conflits avec la mère, un excès du contrôle psychologique et un plus faible niveau de supervision maternelle, présentaient des liens significatifs avec le comportement suicidaire chez les adolescents. Indépendamment de la structure familiale, les caractéristiques suivantes du père étaient respectivement perçues par l’adolescent comme ayant des liens significatifs avec le comportement suicidaire des adolescents: faible proximité affective, impact émotionnel et fréquence élevée des conflits ainsi que le manque de supervision. Ces résultats ont été interprétés à la lumière des théories de la socialisation qui mettent l’accent sur le rôle central de la qualité des liens affectifs entre parents et adolescents, comme facteur de protection contre les risques suicidaires. Les résultats ont aussi révélé que les filles adolescentes sont plus exposées aux risques suicidaires tels que tentatives et idéations suicidaires. Les conclusions de cette étude soulignent le besoin urgent de recherches plus poussées sur le comportement suicidaire des adolescents et leurs liens avec les facteurs familiaux, en tenant compte du statut matrimonial des parents. La thèse met également l’accent sur la nécessité de mettre en place des programmes de prévention auprès des adolescents présentant des risques suicidaires élevés.

Investigating active transportation to and from school : identification of predictors and health benefits

Funding support for this doctoral thesis has been provided by the Canadian Institutes of Health Research-Public Health Agency of Canada, QICSS matching grant, and la Faculté des études supérieures et postdoctorales-Université de Montréal.

Elementary School Principals in Low-Socioeconomic-Status Schools: A University-Based Research Program Designed to Support Mandated Reform

This paper presents a reform initiative, the Supporting Montreal Schools Program (SMSP), created by the government of Quebec to assist 184 low socio-economic-status schools in Montreal implement seven reform strategies prescribed by the government. On a regular basis, the professional team of the SMSP engages in reflection and research with universities concerning one or more of the strategies they are charged with helping schools implement or the functioning of the SMSP more generally. The present research programme is part of the team’s ongoing reflection on a component of Strategy 4: professional development of school administrators and the school team. In this paper, we detail results from this initial and subsequent studies on the work of principals in low-performing schools. We also describe our collaborative relationship with the SMSP team, discuss the effectiveness of the SMSP in promoting the implementation of the seven governmentmandated strategies and critique the utility of our partnership with the SMSP and our use of that programme as a vehicle for linking research to practice.

A Study on India’s Trade Relationship with SAARC Countries with Special Reference to SATA

The present study reveals that there are enormous opportunities for forging closer economic relations among SAARC countries. These opportunities could be fully utilized through the twin processes of trade liberalization and industrial restructuring which are complementary to each other. The SAARC Preferential Trade Arrangement (SAPTA) is the first step in trade liberalization. However, the scope of SAPTA has to be sufficiently widened in order to derive substantial benefits from preferential trading agreements. It is suggested that the SAARC countries adopt a combined approach for tariff elimination, tariff reduction and preferential or concessional tariffs. This process will help in moving quickly towards the creation of a Free Trade Area in the SAARC region. It is necessary to emphasis that, in any regional organization, smaller countries may feel that greater trade co-operation with their larger neighbors may result in larger countries taking over their economies. India occupies 70% of the SAARC region, both geographically and economically, and the remaining 6 nations of the SAARC borders only with India and not with each other. As the biggest, and the most industrialized trading partner among the SAARC countries, India has to recognize that a special responsibility devolves on her and take a lead in making the Regional Economic Co-operation a reality in South Asia.

A STUDY ON SOFTWARE DEVELOPMENT PROJECT RISK, RISK MANAGEMENT, PROJECT OUTCOMES AND THEIR INTER-RELATIONSHIP

This research was undertaken with an objective of studying software development project risk, risk management, project outcomes and their inter-relationship in the Indian context. Validated instruments were used to measure risk, risk management and project outcome in software development projects undertaken in India. A second order factor model was developed for risk with five first order factors. Risk management was also identified as a second order construct with four first order factors. These structures were validated using confirmatory factor analysis. Variation in risk across categories of select organization / project characteristics was studied through a series of one way ANOVA tests. Regression model was developed for each of the risk factors by linking it to risk management factors and project /organization characteristics. Similarly regression models were developed for the project outcome measures linking them to risk factors. Integrated models linking risk factors, risk management factors and project outcome measures were tested through structural equation modeling. Quality of the software developed was seen to have a positive relationship with risk management and negative relationship with risk. The other outcome variables, namely time overrun and cost over run, had strong positive relationship with risk. Risk management did not have direct effect on overrun variables. Risk was seen to be acting as an intervening variable between risk management and overrun variables.

Statistical Machine Learning Techniques for the Prediction of Learning Disabilities in School-Age Children

Learning Disability (LD) is a general term that describes specific kinds of learning problems. It is a neurological condition that affects a child's brain and impairs his ability to carry out one or many specific tasks. The learning disabled children are neither slow nor mentally retarded. This disorder can make it problematic for a child to learn as quickly or in the same way as some child who isn't affected by a learning disability. An affected child can have normal or above average intelligence. They may have difficulty paying attention, with reading or letter recognition, or with mathematics. It does not mean that children who have learning disabilities are less intelligent. In fact, many children who have learning disabilities are more intelligent than an average child. Learning disabilities vary from child to child. One child with LD may not have the same kind of learning problems as another child with LD. There is no cure for learning disabilities and they are life-long. However, children with LD can be high achievers and can be taught ways to get around the learning disability. In this research work, data mining using machine learning techniques are used to analyze the symptoms of LD, establish interrelationships between them and evaluate the relative importance of these symptoms. To increase the diagnostic accuracy of learning disability prediction, a knowledge based tool based on statistical machine learning or data mining techniques, with high accuracy,according to the knowledge obtained from the clinical information, is proposed. The basic idea of the developed knowledge based tool is to increase the accuracy of the learning disability assessment and reduce the time used for the same. Different statistical machine learning techniques in data mining are used in the study. Identifying the important parameters of LD prediction using the data mining techniques, identifying the hidden relationship between the symptoms of LD and estimating the relative significance of each symptoms of LD are also the parts of the objectives of this research work. The developed tool has many advantages compared to the traditional methods of using check lists in determination of learning disabilities. For improving the performance of various classifiers, we developed some preprocessing methods for the LD prediction system. A new system based on fuzzy and rough set models are also developed for LD prediction. Here also the importance of pre-processing is studied. A Graphical User Interface (GUI) is designed for developing an integrated knowledge based tool for prediction of LD as well as its degree. The designed tool stores the details of the children in the student database and retrieves their LD report as and when required. The present study undoubtedly proves the effectiveness of the tool developed based on various machine learning techniques. It also identifies the important parameters of LD and accurately predicts the learning disability in school age children. This thesis makes several major contributions in technical, general and social areas. The results are found very beneficial to the parents, teachers and the institutions. They are able to diagnose the child’s problem at an early stage and can go for the proper treatments/counseling at the correct time so as to avoid the academic and social losses.

Physical characteristics of the coastal waters off the south-west coast of india with an attempt to study the possible relationship with sardine mackerel and anchovy fisheries

The present study is aimed at observing the variations, in space and time, of see of the important hydrographic parameters such as sea water temperature, salinity and Resolved oxygen within the coastal waters along the south-west coast of Indiametween Ratnagiri (17°OO*N,73°20'E) and cape comorin ( 8°10'N,77°30*E). Specific data relating to the process of upwelling and sinking was collected mainly to evaluate the extent and intensity of the vertical mixing processes active in the area under study. The study also attempted possible correlations between the observed parameters and the occurrence and migrations of some of the major pelagic fishery resources such as sardine,mackerel and anchovy in the area under study

Prediction of Key Symptoms of Learning Disabilities in School-Age Children Using Rough Sets

This paper highlights the prediction of learning disabilities (LD) in school-age children using rough set theory (RST) with an emphasis on application of data mining. In rough sets, data analysis start from a data table called an information system, which contains data about objects of interest, characterized in terms of attributes. These attributes consist of the properties of learning disabilities. By finding the relationship between these attributes, the redundant attributes can be eliminated and core attributes determined. Also, rule mining is performed in rough sets using the algorithm LEM1. The prediction of LD is accurately done by using Rosetta, the rough set tool kit for analysis of data. The result obtained from this study is compared with the output of a similar study conducted by us using Support Vector Machine (SVM) with Sequential Minimal Optimisation (SMO) algorithm. It is found that, using the concepts of reduct and global covering, we can easily predict the learning disabilities in children