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1. 1. Digital Competence and Ways of Thinking and Practising in Swedish Teacher Education : Experiences by teachers with a foreign teaching degree

   Författare :Annika Käck; Sirkku Männikkö Barbutiu; Uno Fors; Ola Lindberg; Stockholms universitet; []
   Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; digital competence; teachers with a foreign teaching degree; teacher education; ways of thinking and practising; transformative learning; Information Society; informationssamhället;

   Sammanfattning : The Swedish government recognises foreign academic education and the professional qualifications of its immigrants by allocating resources to programmes that bridge the gap between immigrants’ education and the specific requirements for work in Sweden. The context of inquiry for this thesis is teachers with a foreign teaching degree, who come from 57 countries or regions and are studying at four Swedish universities. LÄS MER

3. 2. Data-Efficient Learning of Semantic Segmentation

   Författare :David Nilsson; Mathematical Imaging Group; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; semantic segmentation; embodied learning; active learning; semantic video segmentation; computer vision; deep learning;

   Sammanfattning : Semantic segmentation is a fundamental problem in visual perception with a wide range of applications ranging from robotics to autonomous vehicles, and recent approaches based on deep learning have achieved excellent performance. However, to train such systems there is in general a need for very large datasets of annotated images. LÄS MER

4. 3. Robot Skill Acquisition through Prior-Conditioned Reinforcement Learning

   Författare :Quantao Yang; Todor Stoyanov; Johannes A. Stork; Gerhard Neumann; Örebro universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Reinforcement Learning; Robot Manipulation; Transfer Learning; Safety Constraints; Prior Knowledge Learning;

   Sammanfattning : Advancements in robotics and artificial intelligence have paved the way for autonomous agents to perform complex tasks in various domains. A critical challenge in the field of robotics is enabling robots to acquire and refine skills efficiently, allowing them to adapt and excel in diverse environments. LÄS MER

5. 4. Learning visual perception for autonomous systems

   Författare :Gustav Häger; Michael Felsberg; Per-Erik Forssén; Fahad Shahbaz Khan; Roman Pflugfelder; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; computer vision; visual object tracking; tracking; machine learning; deep learning;

   Sammanfattning : In the last decade, developments in hardware, sensors and software have made it possible to create increasingly autonomous systems. These systems can be as simple as limited driver assistance software lane-following in cars, or limited collision warning systems for otherwise manually piloted drones. LÄS MER

7. 5. Leading learning through digitalization in Swedish schools : beyond school leaders?

   Författare :Josef Siljebo; Ola J. Lindberg; Ulrika Haake; Neil Selwyn; Umeå universitet; []
   Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Leading; learning; digitalization in schools; cultural-historical activity theory; critical studies; education; education; pedagogik;

   Sammanfattning : How can digitalization in schools be led towards positive outcomes? This has for education policy makers in Sweden been a question for decades. In recent years, formal school leaders in schools have come in focus in policy as important not only for schools in general, also specifically concerning digitalizing schools. LÄS MER