Thesis advisor: Mary E. Walsh / School readiness at kindergarten is an important predictor of children's future academic success (Duncan et al., 2007). While early pre-academic and behavioral skills are important for all students, there is considerable inequality in students' levels of readiness at the start of school (Coley, 2002; Lee & Burkam, 2002; Razza, Martin & Brooks-Gunn, 2010; Ryan, Fauth, & Brooks-Gunn, 2006; Welsh, Nix, Blair, Bierman & Nelson, 2010), and research has pointed to a range of out-of-school and poverty-related factors that contribute to these inequalities (Coley, 2002; Dearing, 2008; Foster, 2002; Hill, 2001; Razza et al., 2010; Ryan et al., 2006). This study utilizes relational developmental systems theory (Lerner, 2006; 2011) to examine the individual and contextual factors that co-act dynamically to shape and predict student outcomes. Specifically, this study extends the body of research on early child development by examining the factors that predict school readiness skills within a sample of 521 young children preparing to enter the first grade from urban early education programs. Multilevel regression models indicate that student characteristics, classroom characteristics, and peer contexts each predict students' school readiness scores, and that the interactions among these variables make unique contributions to the prediction of school readiness scores as well. Implications for theory, policy, and practice are discussed along with recommendations for future research. / Thesis (PhD) — Boston College, 2015. / Submitted to: Boston College. Lynch School of Education. / Discipline: Counseling, Developmental and Educational Psychology.

Fundamental aspects of biologically-inspired regulatory mechanisms are considered in a robotics context, using artificial neural-network control systems . Regulatory mechanisms are used to control expression of genes, adaptation of form and behavior in organisms. Traditional neural network control architectures assume networks of neurons are fixed and are interconnected by wires. However, these architectures tend to be specified by a designer and are faced with several limitations that reduce scalability and tractability for tasks with larger search spaces. Traditional methods used to overcome these limitations with fixed network topologies are to provide more supervision by a designer. More supervision as shown does not guarantee improvement during training particularly when making incorrect assumptions for little known task domains. Biological organisms often do not require such external intervention (more supervision) and have self-organized through adaptation. Artificial neural tissues (ANT) addresses limitations with current neural-network architectures by modeling both wired interactions between neurons and wireless interactions through use of chemical diffusion fields. An evolutionary (Darwinian) selection process is used to ‘breed’ ANT controllers for a task at hand and the framework facilitates emergence of creative solutions since only a system goal function and a generic set of basis behaviours need be defined. Regulatory mechanisms are formed dynamically within ANT through superpositioning of chemical diffusion fields from multiple sources and are used to select neuronal groups. Regulation drives competition and cooperation among neuronal groups and results in areas of specialization forming within the tissue. These regulatory mechanisms are also shown to increase tractability without requiring more supervision using a new statistical theory developed to predict performance characteristics of fixed network topologies. Simulations also confirm the significance of regulatory mechanisms in solving certain tasks found intractable for fixed network topologies. The framework also shows general improvement in training performance against existing fixed-topology neural network controllers for several robotic and control tasks. ANT controllers evolved in a low-fidelity simulation environment have been demonstrated for a number of tasks on hardware using groups of mobile robots and have given insight into self-organizing system. Evidence of sparse activity and use of decentralized, distributed functionality within ANT controller solutions are found consistent with observations from neurobiology.

Thesis advisor: Jacqueline V. Lerner / This dissertation considered character development in adolescence from a relational developmental systems (RDS) perspective through the estimation of trajectories of five character attributes and the associations of these trajectories with the contextual factors of intentional self-regulation (ISR) and prosocial socialization from role models whom adolescents reported knowing personally. Character attributes considered were honesty, humility, diligence, future mindedness, and purpose. Data were taken from the Connecting Adolescents' Beliefs and Behaviors longitudinal study of character development in adolescents from the Northeastern United States. Results demonstrated that multiple trajectories can be estimated for each character attribute, supporting the RDS principles of plasticity and individual differences. Associations were also found among all character attributes considered at every time point. Contextual factors had more nuanced relationships with character attribute trajectories than was expected, with high levels of ISR associated with high start points for all character attributes and for overall character attribute patterns, but not necessarily with sustained high levels of character attributes. Prosocial socialization did not demonstrate a stable association with high levels or increasing levels of any character attribute examined. This pattern of findings suggests that additional contextual aspects should be considered as important aspects of character development. Limitations and future directions are discussed. / Thesis (PhD) — Boston College, 2019. / Submitted to: Boston College. Lynch School of Education. / Discipline: Counseling, Developmental and Educational Psychology.

Fundamental aspects of biologically-inspired regulatory mechanisms are considered in a robotics context, using artificial neural-network control systems . Regulatory mechanisms are used to control expression of genes, adaptation of form and behavior in organisms. Traditional neural network control architectures assume networks of neurons are fixed and are interconnected by wires. However, these architectures tend to be specified by a designer and are faced with several limitations that reduce scalability and tractability for tasks with larger search spaces. Traditional methods used to overcome these limitations with fixed network topologies are to provide more supervision by a designer. More supervision as shown does not guarantee improvement during training particularly when making incorrect assumptions for little known task domains. Biological organisms often do not require such external intervention (more supervision) and have self-organized through adaptation. Artificial neural tissues (ANT) addresses limitations with current neural-network architectures by modeling both wired interactions between neurons and wireless interactions through use of chemical diffusion fields. An evolutionary (Darwinian) selection process is used to ‘breed’ ANT controllers for a task at hand and the framework facilitates emergence of creative solutions since only a system goal function and a generic set of basis behaviours need be defined. Regulatory mechanisms are formed dynamically within ANT through superpositioning of chemical diffusion fields from multiple sources and are used to select neuronal groups. Regulation drives competition and cooperation among neuronal groups and results in areas of specialization forming within the tissue. These regulatory mechanisms are also shown to increase tractability without requiring more supervision using a new statistical theory developed to predict performance characteristics of fixed network topologies. Simulations also confirm the significance of regulatory mechanisms in solving certain tasks found intractable for fixed network topologies. The framework also shows general improvement in training performance against existing fixed-topology neural network controllers for several robotic and control tasks. ANT controllers evolved in a low-fidelity simulation environment have been demonstrated for a number of tasks on hardware using groups of mobile robots and have given insight into self-organizing system. Evidence of sparse activity and use of decentralized, distributed functionality within ANT controller solutions are found consistent with observations from neurobiology.

This dissertation takes as its starting point some curious historical parallels in research on the heritability of alcoholism from opposite ends of the 20th century, and the underlying continuity in assumptions implicated by these parallels. Rather than review mainstream historical narratives on the origins of genetic research and alcoholism studies, I examine evidence and developments as yet unexplored by scholars. First I examine the origins of recent research models and diagnostic criteria that provide evidence for the hereditary nature of alcoholism. Then I consider the assumption of genetic determinism and its relationship to strategies of propaganda employed by the Eugenics movement early in the century. Using these historical "snapshots" I draw out conceptual and philosophical problems with the genetic explanation of alcoholism that continue to confront researchers today. These limitations suggest two possible avenues of resolution: either we develop finer-grained strategies for distinguishing social deviance from physical disorders, or we develop an integrated understanding of the complex interplay of human biological and cultural systems by extending the approach known as Developmental Systems Theory. In the conclusion, I explore these options and their potential ramifications for our understanding of alcoholism in hereditary and human contexts. / Ph. D.

Behavioural scientists argue that ‘social learning' provides the link between biological phenomena and cultural phenomena because of its role in the ‘cultural transmission' of knowledge among individuals within and across generations. However, leading authors within the social sciences have proposed alternative ways of thinking about social life not founded on the Modern oppositions including nature-culture, biology-culture, body-mind, and individual-society. Similarly, the distinction between a domain of nature and a domain of nurture has also been extensively criticized within biology. Finally, advocates of ‘radical embodied cognitive science' offer an alternative to the representational-computational view of the mind which supports the conventional notion of culture and cultural information. This thesis attempts to integrate developmental systems theory, radical embodied cognitive science, and relational thinking, with the goal to bring the field of social learning closer to these critical theoretical developments. In Chapter 2, I find no justification for the claim that the genome carries information in the sense of specification of biological form. Chapter 3 presents a view of ontogeny as a historical, relational, constructive and contingent process. Chapter 4 uses the notions of environmental information, abilities, affordances, and intentions to make sense of behaviour and learning. In Chapter 5, I argue that the notion of social learning can be understood in terms of relational histories of development rather than in terms of transmission of information. I then report empirical studies investigating behavioural coordination and social learning consistent with this theoretical framework. Chapter 6 presents evidence that dyads in a joint making activity synchronize their attention constrained by their changing situation and that coordination of attention is predictive of implicit and explicit learning. Chapter 7 presents evidence that joint attention does not require gaze following and that attentional coordination is predictive of learning a manual task. Together, these theoretical and empirical studies suggest a new way of thinking about how humans and other animals live and learn socially, one that is consistent with critical theoretical and philosophical developments that are currently neglected in the literature on social learning.

The impact of transportation concerning older adults is under scrutiny as the number of older adults is expected to significantly increase in the coming years. The World Health Organization (WHO) spearheaded a world wide initiative that sought to examine what contributed to an “age-friendly community” in both developed and underdeveloped nations. This paper examines, in particular, the role that transportation plays in relation and contribution to an “age-friendly” community in Saanich, British Columbia, as an addition to the WHO initiative. Focus groups were conducted to ensure that information received was the lived experience of the individual. Results suggested that transportation was more than the ability to operate a vehicle, but in the ability to move safely within an environment. Additional information provided by participants spoke to the necessity of increasing awareness of licensing systems and improvements that could be implemented to ensure safety for older adult drivers and the community.

The impact of transportation concerning older adults is under scrutiny as the number of older adults is expected to significantly increase in the coming years. The World Health Organization (WHO) spearheaded a world wide initiative that sought to examine what contributed to an “age-friendly community” in both developed and underdeveloped nations. This paper examines, in particular, the role that transportation plays in relation and contribution to an “age-friendly” community in Saanich, British Columbia, as an addition to the WHO initiative. Focus groups were conducted to ensure that information received was the lived experience of the individual. Results suggested that transportation was more than the ability to operate a vehicle, but in the ability to move safely within an environment. Additional information provided by participants spoke to the necessity of increasing awareness of licensing systems and improvements that could be implemented to ensure safety for older adult drivers and the community.

There is a notable overlap and co-occurrence of mental health and learning challenges among school-aged youth. Existing research highlights associations between learning disabilities (LD) and mental health problems; however, there has been little exploration of additional variables, such as familial influences, that represent multiple levels of influence (Cen & Aytac, 2016). From a developmental relational systems framework (Overton, 2015), advancing the understanding of familial influences on youth development is crucial. Using a mixed methods design, the present study examined the influences of parent depression, parenting behaviours, family functioning, and youth social and emotional competencies on symptoms of anxiety and depression among youth with LD. Addressing two hypotheses, the quantitative Study 1 aimed to identify factors associated with mediating effects on internalized distress in 14- and 15-year-old youth with LD using secondary analysis of a cross-sectional national sample of youth and their parents. Youth social and emotional competencies and parental monitoring were found to be the most significant buffering influences in reducing symptoms of anxiety and depression. The qualitative Study 2 built on the results from Study 1, to expand the quantitative findings. In Study 2, youth at the end of middle school and their parents were interviewed to gain deeper understanding about the experiences of co-occurring LD and mental health problems from a family perspective. Data analysis identified youth fatigue, youth self-efficacy, and family relationships as central themes related to the challenges youth and their families experienced. Integrating the findings of the two studies illustrated the complex psychological, social, and educational implications for youth with LD in a family context. The interplay of factors embedded in the relation between the LD and mental health problems underscores this complexity, suggesting the relation cannot be completely understood without considering the multiple levels of influences. Implications for theory, research, and practice are described with an emphasis on ecological approaches and building school-family relationships. / Graduate

In order to provide evidence demonstrating the efficacy of cochlear implantation in the children enrolled in the Pretoria Cochlear Implant Programme (PCIP), an in-depth analysis of the numerous variables involved in determining each individual child’s success with his/her cochlear implant needs to be undertaken. As the PCIP has been operating for over a decade, a standardised database that includes the variables identified by similar cochlear implant programmes world-wide as being related to outcomes of children with cochlear implants and their families, has to be assembled. As the PCIP functions partly as a paediatric cochlear implant programme, an Early Communication Intervention (ECI) approach with the emphasis on the family unit is of critical importance. To address this need, a comprehensive questionnaire was used in a cross sectional study combining qualitative, and predominantly quantitative methods. The aim was to determine the perceptions of parents/caregivers of children with cochlear implants in the PCIP of the children’s outcomes. The questionnaire was further used to gather relevant data pertaining to children and their families’ biographical, medical, environmental, audiological, linguistic and educational histories and current functioning. A total of 45 participants, all mothers of children with cochlear implants, returned questionnaires. Results indicated that several key factors played a role in determining a positive outcome in the children’s audiological, linguistic, social and educational functioning leading to placement in an inclusive educational setting. These included an early age at diagnosis and prompt fitting of hearing aids and subsequent cochlear implantation, the absence of prenatal and perinatal complications including feeding difficulties, a higher level of maternal education, achievement of developmental milestones within normal age norms, the use of an FM system in the primary school phase, access to ECI, the presence of an older sibling to act as a language model, the absence of birth trauma and congenital rubella syndrome as cause of hearing loss, and later (acquired) onset of hearing loss. Children whose cause of hearing loss was non-syndromic and hereditary or unknown, were more likely to have positive outcomes. The clinical implications for the PCIP were synthesised and presented as a developmental systems model, providing guidelines for the entire process from referral to the cochlear implant programme to exiting of the system. The urgency of the need for a universal newborn or infant hearing screening programme as well as reliable systems of early referral to cochlear implant programmes, emerged strongly in the recommendations of the study. / Dissertation (M (Communication Pathology))--University of Pretoria, 2006. / Speech-Language Pathology and Audiology / Unrestricted