In this thesis we aim to build algebraic models in computer using machine learning methods and in particular neural networks. We start with a set of axioms that describe functions, constants and relations and use them to train neural networks approximating them. Every element is represented as a real vector, so that neural networks can operate on them. We also explore and compare different representations. The main focus in this thesis are groups. We train neural representations for cyclic (the simplest) and symmetric (the most complex) groups. Another part of this thesis are experiments with extending such trained models by introducing new "algebraic" elements, not unlike the classic extension of rational numbers Q[ √ 2]. 1

Research suggests parental home and school involvement improves multiple outcomes for middle school students, including academic achievement, school engagement, motivation, self-efficacy, and prosocial behaviors. Little is known, however, about multilevel factors associated with Latino/a parental involvement in the middle school learning environment. In the current study, multilevel analysis was used to explore student, family, and school factors associated with Latino/a parental involvement. Results from the hierarchical linear modeling analyses found (a) Latino/a parental home and school involvement varied within schools and between schools, (b) student gender, prosocial behavior, and academic achievement were positively associated with parental home involvement, and (c) student gender, problem behavior, prosocial behavior, academic achievement, and family socioeconomic status were positively associated with parental school involvement. Percentages of Latino/a students and low-income students in schools did not significantly moderate the average parental home or school involvement across students and across schools. The results of this study have implications for educators and policy makers to promote Latino/a parent-teacher collaboration in the middle school learning environment.

This thesis addresses a major problem facing any attempt to account for language structure through a cultural mechanism: The processes required by such a mechanism are only possible if we assume the existence of a range of preconditions. These preconditions are not trivial, and themselves require an explanation. In this thesis I address the nature and origin of these preconditions. I approach this topic in three stages. In the first stage, I pull-apart the functioning of one prominent cultural account of language evolution—the Iterated Learning Model —to identify the preconditions it assumes. These preconditions cluster into two main groups. The first concerns the traditional transmission of the communication system. The second relates to the emergence of particular skills of social cognition that make learned symbols and language-like communication a possibility. In the second stage, I turn to comparative evidence, looking for evolutionary analogies that might shed light on the emergence of these preconditions. Two case studies—the Bengalese finch and the domestic dog—are considered in detail, both of which show aspects of one of the preconditions emerging in the context of domestication. In each case I examine what it is about the domestication process that led to this outcome. In the final stage, I consider whether this same context might explain the emergence of these preconditions in humans. The claim that humans are a self-domesticated species has a long history, and is increasingly invoked in contemporary discussions of language evolution. However, it is often unclear exactly what this claim entails. I present a synthesis and critique of a range of empirical and theoretical perspectives on self-domestication. I conclude that human self-domestication is a coherent concept, and that there are several plausible accounts of how it might have occurred. The realisation that humans are a self-domesticated species can, therefore, provide some insight into how a cultural account of language structure might be possible at all.

The dominant approach to the study of economics at secondary school level in the Maldives is teacher-centred methods based on behaviourist views of teaching and learning. Despite considerable research on the benefits of cooperative learning in economic education at the post-secondary level, very limited research has been conducted in secondary school classrooms in order to find ways of improving teaching and learning of economics. The purpose of this study was to enhance the teaching and learning of economics at secondary schools in the Maldives by trialing a cooperative learning model to enhance economics teachers' awareness of the impact that cooperative learning might have on student learning. This study explored a cooperative learning approach to teaching and learning economics in secondary schools and investigated teachers' and students' perceptions of cooperative learning. Some elements of both ethnographic and grounded theory methodologies were employed and specific data collection methods included workshops, classroom observations, interviews, video tapes and student questionnaires. Nine teachers and 232 students were involved in this study. The research was conducted in three stages (pre-intervention, workshops to train the participants, and post-intervention) over a period of three months in three selected schools in Male', the Maldives. Four research themes were derived from the analysis of both pre and post intervention data. These themes were teaching issues, learning issues, cooperative learning implementing issues, and students' and teachers' reactions to cooperative learning. In the pre-intervention phase, the teachers taught in a traditional manner, but after the intervention they incorporated elements of cooperative learning method to teach economics in their selected classes. The overall findings showed a considerable change in teachers' and students' attitudes and perceptions about traditional teacher-centred methods towards more student-centred methods of cooperative learning. It was evident that both teachers and students perceived cooperative learning to be an effective method of teaching. For example, the findings revealed that both teachers and students understood and could see the benefits that cooperative learning offered to the teaching and learning of economics. The students indicated that they liked working in groups and appreciated getting help from other students. In addition, the results revealed that students' interactions and involvement in classroom activities, as well as interest and motivation to learn economics, increased during the implementation of the cooperative learning model. Furthermore, this study found a mismatch between home and the traditional teacher-centred school culture in the Maldives. In contrast, the findings suggest that the principles of cooperative learning match well with the cultural values of Maldivian society. Consequently, a revised model of cooperative learning is presented that includes the aspects of culture. Jordan (1985) argued that educational practices must match with the children's culture (p. 110) and thus culturally responsive teaching can help to minimise confusion and promote an academic community of learners that enables students to be more successful learners (Gay, 2000). This study suggests that training teachers and students for cooperative learning is salient for effective implementation of cooperative learning for a positive influence on students' learning and teachers' pedagogy. However, further research should be conducted to examine other aspects of teaching and learning which may also enhance this relationship.

Non-representational cognitive science is a promising research field that provides an alternative to the view of the brain as a “computer” filled with symbolic representations of the world and cognition as “calculations” performed on those symbols. Autopoiesis is a biological, bottom-up, non-representational theory of cognition, in which representations and meaning are framed as explanatory concepts that are constituted in an observer’s description of a cognitive system, not operational concepts in the system itself. One of the problems of autopoiesis, and all non-representational theories, is that they struggle with scaling up to high-level cognitive behaviour such as language. The Iterated Learning Model is a theory of language evolution that shows that certain features of language are explained not because of something happening in the linguistic agent’s brain, but as the product of the evolution of the linguistic system itself under the pressures of learnability and expressivity. Our goal in this work is to combine an autopoietic approach with the cultural transmission chains that the ILM uses, in order to provide the first step in an autopoietic explanation of the evolution of language. In order to do that, we introduce a simple, joint action physical task in which agents are rewarded for dancing around each other in either of two directions, left or right. The agents are simulated e-pucks, with continuous-time recurrent neural networks as nervous systems. First, we adapt a biologically plausible reinforcement learning algorithm based on spike-timing dependent plasticity tagging and dopamine reward signals. We show that, using this algorithm, our agents can successfully learn the left/right dancing task and examine how learning time influences the agents’ task success rates. Following that, we link individual learning episodes in cultural transmission chains and show that an expert agent’s initial behaviour is successfully transmitted in long chains. We investigate the conditions under which these transmission chains break down, as well as the emergence of behaviour in the absence of expert agents. By using long transmission chains, we look at the boundary conditions for the re-establishment of transmitted behaviour after chain breakdowns. Bringing all the above experiments together, we discuss their significance for non-representational cognitive science and draw some interesting parallels to existing Iterated Learning research; finally, we close by putting forward a number of ideas for additions and future research directions.

Magister Psychologiae - MPsych / Increased rates of alcohol abuse and childhood trauma have been reported in previous studies of anxiety disorders, and social anxiety disorder (SAD) in particular. Yet the exact nature of this relationship remains unclear. This study aimed to assess whether SAD is a risk factor for later development of alcohol use disorders (AUD) and to investigate the association of childhood trauma with the prospective SAD-AUD comorbidity in adults with SAD. Data from fifty seven adult participants (N=57) with a primary diagnosis of SAD (mean age 36.7; 60% male) completed the self-rated Childhood Trauma Questionnaire (CTQ) as well as the Liebowitz Social Anxiety Scale (LSAS), a measure of SAD symptom severity. Alcohol abuse and dependence information were assessed with the Structured Clinical Interview for Axis I Disorders-Patient Version (SCID-I/P). Data from sixty two adult age and gender match controls were used as a comparison group. A Cognitive Behavioural Model and the Social Learning Model are the theoretical frameworks utilised in the conceptualisation of this research. The data is quantitative in nature and will be statistically analysed using descriptive statistics, logistic regression and ANOVA using the Statistical Package for the Social Sciences (SPSS) version 17.0. Informed consent was obtained in writing from all participants. The findings of the study were that 73.7% of the SAD sample met severity criteria for at least one type of childhood abuse or neglect as measured by the CTQ subscales using previously established thresholds. Physical neglect was found to be significantly associated with increased SAD symptom severity.17.5% of the SAD sample had a comorbid lifetime alcohol use disorder (AUD) and of those 80% reported experiencing childhood trauma. In conclusion there was a high rate of childhood trauma in individuals with SAD and there is a strong association between childhood trauma and comorbid AUDs in those with SAD.Thus screening for childhood trauma in SAD individuals is clinically prudent.

<p>Disertacija se bavi problematikom adaptivnih web-baziranih sistema u oblasti e-učenja. Definisan je model sistema čije su osnovne komponente: učenik, učitelj i obučavajući materijali. Model je pro&scaron;iriv i domenski nezavistan. Istražena je interakcija između komponenti modela, pre svega između učenika i obučavajućih materijala. Razvijen je modul za procenu usagla&scaron;enosti potreba učenika sa jedne strane i sadržaja obučavajućih materijala sa druge strane. Kori&scaron;ćene su mere udaljenosti odnosno sličnosti, na taj način postignuta je delimična adaptibilnost modela. Adaptibilnost modela pro&scaron;irena je modulom koji koristi Ako Onda pravila generisana od strane sistema baziranog na Teoriji grubih skupova. Pravila u Ako Onda formi procenjuju uticaj obučavajućih materijala na učenika i shodno proceni vr&scaron;e adaptaciju. Model je implementiran, testiran i kori&scaron;ćen za vr&scaron;enje eksperimenata na test skupu obučavajućih materijala i učenika. Pokazano je na koji način se vr&scaron;i adaptacija u okviru kori&scaron;ćenog sistema.</p> / <p>The dissertation deals with the problem of adaptive Web-based systems in the field of e-learning. The model whose basic components are: the student, the teacher and the learning materials is defined. The model is extensible and domain independent. The interaction between the components of the model is examined, especially among students and learning materials. Module for the conformity assessment between needs of students and the content of the learning materials is developed. The distance measures or similarity measures are used, thus is achieved a partial adaptability of the model. Adaptability of the model was extended by module that uses If Then rules generated by the system based on the Rough sets theory. If Then rules are used to estimate the impact of learning materials to students and after that, is performed the adaptation. The model was implemented, tested and used to carry out experiments on the test set of learning materials and students. It is shown how the adjustments are done.</p>

In this thesis we aim to build algebraic models in computer using machine learning methods and in particular neural networks. We start with a set of axioms that describe functions, constants and relations and use them to train neural networks approximating them. Every element is represented as a real vector, so that neural networks can operate on them. We also explore and compare different representations. The main focus in this thesis are groups. We train neural representations for cyclic (the simplest) and symmetric (the most complex) groups. Another part of this thesis are experiments with extending such trained models by introducing new "algebraic" elements, not unlike the classic extension of rational numbers Q[ √ 2]. 1

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This phenomenological study investigated the experiences and perceptions of eight female adult Native Americans distance learners. To understand the complex issues of Native American education and distance learning, the literature review included the history of the educational policy directed towards Native Americans, Tribally Controlled Universities and Colleges, distance learning, the Digital Divide, Vygotsky and socio-cultural learning, and the indigenous pedagogical paradigm. This study has a two-fold purpose: 1) to add to the body of knowledge on adult Native American distance learners by using qualitative methods to explore the experiences and perceptions of those learners, and 2) to introduce a Standard Model of Indigenous Learning and document if the five model threads are an important component of the participants' learning processes. With the accelerated implementation of distance learning platforms in the higher education arena, it is important to understand the experiences and perceptions of adult Native Americans. In addition, it is vital to determine if distance learning poses an underlying threat to their cultural values. Furthermore, determining which components of the learning process are important to adult Native Americans is a critical step in understanding and implementing the appropriate teaching methods and curriculum. The results of this study centered on the experiences and perceptions of the participants in various distance learning environments. Components and practices deemed necessary for learning to occur in the distance learning environment and the face-to-face classroom were discussed and defined. Respect, meaningful interaction, relevancy, and life-long learning were important themes found in the study. Several conclusions were drawn from the results of this study. The participants definitely differentiate between the meaning of education and learning. Building on that concept, most perceive distance learning environments that do not contain a face-to-face component as a tool to accomplish an education. However, respectful, meaningful, face-to-face interaction along with understanding the relevancy of the learning material is perceived as a real [indigenous] learning experience. Comments about the relationship between learning and life, made by the participants, clearly indicate support for socio-cultural learning. In addition, all participants indicated that the five threads of the proposed model are important factors in the learning process and should be incorporated into classrooms. The implications of the study are numerous. Without a face-to-face component, distance learning will not provide the learning experience desired by many Native Americans, thereby creating a possible barrier to education. The five threads of the Standard Model of Indigenous Learning were substantiated by all participants, who vary in age, tribal affiliation, educational background and blood quantum. Thus, the model can serve as a solid foundation for developing curriculum throughout the Native American community, rather than for just one tribe. Recommendations for further study include conducting this study with adult male Native Americans, indigenous peoples of other countries, and other ethnic groups to determine if the model can be generalized to other populations. The teaching practices of Native American instructors and the curriculum at Tribal colleges and universities should be examined to determine if, and to what extent, the five model threads are being used. Implementation of the Standard Model of Indigenous Learning has the capability of transforming the current educational system into a truly learning environment, rather than an environment of acquiring knowledge to satisfy educational requirements.