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LEARNING DETERMINISTIC FINITE AUTOMATA TO CAPTURE TEMPORAL PATTERNSVETTEL, LYNNE ANN January 2002 (has links)
No description available.
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First-year students' use of prior knowledge in the learning of acids and basesSedumedi, Thomas Dipogiso Tshipa 17 October 2008 (has links)
Science has been perceived as difficult to learn because of its nature and the methods by which it is usually taught. Most first-year science students entering higher education in South Africa today come from disadvantaged teaching and learning backgrounds. These students bring different “knowledge, skills or abilities” into the learning process. This knowledge, referred to as prior knowledge – or what the student already knows – is the single most important factor influencing learning (Ausubel, 1968). It is on the basis of this influence of prior knowledge on learning that the focus in this study is on understanding its manifestation in learning. Prior knowledge has both facilitating and inhibiting effects in learning. However, the focus in this study was only on inhibiting effects of prior knowledge on learning. To better understand prior knowledge qualitative methods (interview, observation, document review and the prior knowledge state test) were used. The aim was to specifically establish how students used their understanding of selected acid-base concepts and processes to construct understanding and to generate meaning of new concepts and/or knowledge. The study managed to highlight important aspects of the quality of prior knowledge and their manifestation in learning. The findings generally indicated that: <ul> <li>The quality of the knowledge that students possessed was in most instances incomplete. That is, in their description of concepts, students preferred to use summary and informal descriptions without understanding the meaning of the concepts they were describing.</li> <li> The quality of knowledge (e.g. incomplete knowledge) affected their ability to construct understanding and/or generate meaning as this knowledge was insufficient to access for the construction of scientifically valid meanings of concepts.</li> <li>The quality of students’ knowledge impeded their ability to reflect and/or to be aware of the knowledge they possessed. This made it difficult for students to access knowledge and to restructure it in order to construct new knowledge or prevent errors in their learning.</li> </ul> The study culminated in the development of a framework that may in future be used to assess prior knowledge and enhance meaningful teaching and learning based on the quality of students’ prior knowledge. / Thesis (PhD)--University of Pretoria, 2008. / Curriculum Studies / unrestricted
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The Dynamics of Incomplete and Inconsistent Information : Applications of logic, algebra and coalgebra / La dynamique de l'information incomplète et incohérente : applications de la logique, de l'algèbre et de la coalgèbreBakhtiarinoodeh, Zeinab 05 December 2017 (has links)
Cette thèse est structurée autour de deux axes d’études : (1) développer des logiques épistémiques formalisant la prise en compte de nouvelles données en présence d'informations incomplètes ou incohérentes ; (2) caractériser les notions de bisimulation sur les modèles de ces nouvelles logiques. Les logiques modales utilisées pour formaliser des raisonnements dans le cadre d’informations incomplètes et incohérentes, telle que la logique modale de contingence, sont généralement plus faibles que les logiques modales standards. Nos travaux se basent sur des méthodes logiques, algébriques et co-algébriques / In this Ph.D. dissertation we investigate reasoning about information change in the presence of incomplete or inconsistent information, and the characterisation of notions of bisimulation on models encoding such reasoning patterns. Modal logics for incomplete and inconsistent information are typically weaker than the standard modal logics, such as the modal logic of contingency. We use logical, algebraic and co-algebraic methods to achieve our aims. The dissertation consists of two main parts. The first part focusses on reasoning about information change, and the second part focusses on expressivity and bisimulation. In the following, we give an overview of the contents of this dissertation
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