Sökning: "learning objects"
Visar resultat 11 - 15 av 240 avhandlingar innehållade orden learning objects.
11. Tillträde, förhandling och deltagande i förskolebarns egenorganiserade gemensamma aktiviteter
Sammanfattning : The overarching aim of this thesis is to explore preschool children’s participation in and creation of self-organized joint activities (henceforth activities) in a Swedish preschool with a focus on how children’s everyday activities (initiated by children) are produced sequentially in time. The theoretical framework of the study is taken from childhood sociology (Corsaro, 2011), ethnomethodology (Garfinkel, 1967) and conversation analysis (Schegloff, 2007) and targets the production of children’s activities from beginning to end. LÄS MER
12. Cognitive Interactive Robot Learning
Sammanfattning : Building general purpose autonomous robots that suit a wide range of user-specified applications, requires a leap from today's task-specific machines to more flexible and general ones. To achieve this goal, one should move from traditional preprogrammed robots to learning robots that easily can acquire new skills. LÄS MER
13. Improving Teaching, Improving Learning, Improving as a Teacher : Mathematical Knowledge for Teaching as an Object of Learning
Sammanfattning : This thesis concerns teaching in mathematics teacher education and is based on the implementation of a learning study at teacher training. The overall purpose was to investigate in what way teacher training could facilitate and improve student teachers’ Mathematical Knowledge for Teaching (MKT). LÄS MER
14. Proximity and Learning in Internationalisation : Small Swedish IT firms in India
Sammanfattning : The four IT service firms of this thesis set out to interact and collaborate between their offices in Sweden and in India, some more intensely and frequently than others. In the process of their internationalisation, these small service firms find ways, or go through a process of learning how to collaborate in an international setting. LÄS MER
15. Reinforcement Learning for Active Visual Perception
Sammanfattning : Visual perception refers to automatically recognizing, detecting, or otherwise sensing the content of an image, video or scene. The most common contemporary approach to tackle a visual perception task is by training a deep neural network on a pre-existing dataset which provides examples of task success and failure, respectively. LÄS MER