Search for dissertations about: "implicit learning"

Showing result 1 - 5 of 53 swedish dissertations containing the words implicit learning.

  1. 1. Trustful Relationships and School Development

    Author : Ulf Jederlund; Rune Hausstätter; Tatjana von Rosen; Pär Larsson; Roald A. Øien; Stockholms universitet; []
    Keywords : SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; trust; school development; collective learning; relational competence; relational pedagogy; teacher-student relationship quality; student self-efficacy; school trust; tillit; skolutveckling; kollektivt lärande; relationskompetens; relationell pedagogik; lärar-elevrelationer; elevers självtillit i skolan; skoltillit; specialpedagogik; Special Education;

    Abstract : Methods other than averages from national tests, grades and levels of eligibility for higher education to evaluate the quality of education and school development are called for. In this dissertation is examined how a conscious effort to develop trustful relationships and mutual interaction among all actors in schools may contribute to increased well-being, community and strengthened learning processes for both students and teachers. READ MORE

  2. 2. Ways of knowing in ways of moving : A study of the meaning of capability to move

    Author : Gunn Nyberg; Håkan Larsson; Ingrid Carlgren; David Kirk; Högskolan Dalarna; []
    Keywords : MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; HUMANITIES; HUMANIORA; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Physical Education; capability to move; ways of knowing; knowing how; tacit knowing; Ryle; Polanyi; Schön; Utbildning och lärande; Education and Learning; utbildningsvetenskap med inriktning mot praktiska kunskapstraditioner; Educational Sciences in Arts and Professions;

    Abstract : The overall aim of this thesis has been to investigate the meaning of the capability to move in order to identify and describe this capability from the perspective of the one who moves in relation to specific movements. It has been my ambition to develop ways to explicate, and thereby open up for discussion, what might form an educational goal in the context of movements and movement activities in the school subject of physical education and health (PEH). READ MORE

  3. 3. Implicit structured sequence learning

    Author : Vasiliki Folia; Karolinska Institutet; Karolinska Institutet; []
    Keywords : MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP;

    Abstract : A simple question: Do you know how you manage to speak your native language without making grammatical errors despite the fact that you probably do not know how to describe the grammatical rules you use? Sometimes such simple questions do not have simple answers. The amazing capacity to effectively communicate complex information and thoughts through the medium of language is the result of the way language, and more specifically, linguistic rules are learned: in an implicit manner. READ MORE

  4. 4. Two is one too many : dyadic memory collaboration effects on encoding and retrieval of episodes

    Author : Jan Andersson; Linköpings universitet; []
    Keywords : SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES;

    Abstract : The aim of the present thesis was to investigate how individual memory potential in different tasks is affected by collaboration in social settings. Collaborative group dimensions were also studied: friendship, age, and gender. The principal comparison was between an actual collaborative dyad and the sum of the two individuals' memory potential, i. READ MORE

  5. 5. Utilizing Diversity and Performance Measures for Ensemble Creation

    Author : Tuve Löfström; Högskolan i Skövde; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; Ensemble Learning; Machine Learning; Diversity; Artificial Neural Networks; Data Mining; Information Fusion; Computer science; Datavetenskap; Teknik; Technology; ensemble learning; machine learning; diversity; artificial neural networks; information fusion; Computer Science; data mining;

    Abstract : An ensemble is a composite model, aggregating multiple base models into one predictive model. An ensemble prediction, consequently, is a function of all included base models. Both theory and a wealth of empirical studies have established that ensembles are generally more accurate than single predictive models. READ MORE