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Evolution is considered a controversial topic and has been met with much debate, concern and conflict in its inclusion in the school curriculum. The aim of his investigation was to determine what conceptual change occurs when learners are taught evolution and what factors influence this change looking in particular at learners’ conceptual ecologies and the role that religious beliefs play. The attitudes of the learners, teachers and school community towards evolution were also investigated. A mixed methods approach was used because it obtains a fuller picture and provides a deeper understanding of a phenomenon by combining the strengths of qualitative and quantitative research. Learners were given a pre-and post-instruction survey and concept mapping task, and a sample of learners were interviewed post instruction. Results showed that learners made significant conceptual changes and that religious beliefs are the main contributing factor to learners’ conceptual ecologies and the conceptual changes that occurred. An overall negative attitude was initially experienced from learners, but this developed into curiosity and interest. Teachers had a positive attitude towards teaching evolution. This study also highlights the notion that conceptual change theory is not sufficient in explaining how all learners learn evolution. Learners that experience cultural conflict follow various other learning paths explained by collateral learning. Collateral learning is considered because it more accurately explains how religious learners learn evolution. Collateral learning puts emphasis on the importance that learner cultures have in learning and highlights the importance of teaching for cultural border crossing / Thesis (M.Ed.)-University of KwaZulu-Natal, Pietermaritzburg, 2012.

From the individual to species level, it is common for animals to have connections with one another. These connections can exist in a variety of forms; from the social relationships within an animal society, to hybridisation between species. The structure of these connections in animal systems can be depicted using networks, often revealing non-trivial structure which can be biologically informative. Understanding the factors which drive the structure of animal networks can help us understand the costs and benefits of forming and maintaining relationships. Multivariate modelling provides a means to evaluate the relative contributions of a set of explanatory factors to a response variable. However, conventional modelling approaches use statistical tests which are unsuitable for the dependencies inherent in network and relational data. A solution to this problem is to use specialised models developed in the social sciences, which have a long history in modelling human social networks. Taking predictive multivariate models from the social sciences and applying them to animal networks is attractive given that current analytical approaches are predominantly descriptive. However, these models were developed for human social networks, where participants can self-identify relationships. In contrast, relationships between animals have to be inferred through observations of associations or interactions, which can introduce sampling bias and uncertainty to the data. Without appropriate care, these issues could lead us to make incorrect or overconfident conclusions about our data. In this thesis, we use an established network model, the multiple regression quadratic assignment procedure (MRQAP), and propose approaches to facilitate the application of this model in animal network studies. Through demonstrating these approaches on three animal systems, we make new biological findings and highlight the importance of considering data-sampling issues when analysing networks. Additionally, our approaches have wider applications to animal network studies where relationships are inferred through observing dyadic interactions.

The series of papers in this dissertation are aimed at testing evolutionary hypotheses concerning the adaptive advantages of religious values or experiences, a gender difference in purpose in life and the evolutionary relationship between deception and self-deception. Explanations are argued for in terms of their consequences for evolutionary fitness contributing to individual survival within the human species. Darwin's theory of natural selection within the framework of evolutionary psychology provides the theoretical background for the study. In psychology as well as in other social sciences, Darwinian theories of natural and sexual selection have been undergoing a revival with a significant upsurge of an interest in evolutionary psychology as a unifying paradigm for the understanding of human functioning as a living organism, optimising its fitness to survive the exigencies of environmental and social selection pressures. The broad or covering hypothesis addressed is that religious values or experiences, purpose in life, deception and self-deception each involve a kind of consciousness or strategic cognitive process that has evolved through the operation of natural selection due to its importance and worth for the survival of the individual. The study is empirical, conducted by using the technique of secondary analysis on the data yielded by the World Values Survey collected in 43 countries in its second wave of 1990 to 1993 as well as on a South African dataset containing variables of interest to the second and third papers of this dissertation. National aggregate data has been obtained from the United Nations Development Reports for the corresponding years under study. Findings showed a significantly positive relationship between religious values and evolutionary fitness promoting factors derived by factor analysis; a significantly greater purpose in life in females as compared to males; and a significantly positive relationship between deception and self-deception. However, the relationship between deception and evolutionary fitness promoting factors, derived by factor analysis, was inconclusive. / Thesis (M.Sc.)-University of Natal, 1999.

Organisms are frequently faced with uncertainty regarding how best to exploit vital resources, and may benefit from collecting information about their distribution through space and time. However, the ways in which competition over resources might systematically facilitate or constrain an individual's ability to use information has been largely overlooked. In this thesis, I develop a conceptual framework for considering how the distribution of limited resources might underpin interdependencies between competition and information use. I focus on the evolutionary ecology of relationships between social dominance and social information use. I begin with an observational study of wild chacma baboons (Papio ursinus) suggesting that, when resources can be monopolised, individuals with low competitive ability are limited in their ability to use social information. Building on these findings, I then develop a general model exploring selection on social information use in a competitive context across three axes of 'resource ecology' (scarcity, depletion rate, monopolisability). This study makes predictions regarding the resource conditions under which competitive ability might constrain social information use, and the potential importance of social information use in the evolution of social dominance. I go on to test these predictions in chacma baboons using a field experiment. This experiment also explores whether the predictability of resource distribution might facilitate the decoupling of social information use from the competitive context in which it was collected. Taken together, these findings provide general insights into the combinations of ecological conditions and behavioural mechanisms that should underpin the benefits of social dominance. I end by building a simple population matrix model to study social dominance using an eco-evolutionary approach, in which feedback loops between ecological and evolutionary processes are considered. By modelling relationships between dominance rank and survival, reproduction, inheritance, and development, I am able to derive estimates of long-term fitness associated with dominance. Using these estimates, I generate predictions regarding how dominance hierarchies should impact the dynamics of group stability, viability, and fission.