Sökning: "context-dependent learning"

Visar resultat 1 - 5 av 18 avhandlingar innehållade orden context-dependent learning.

1. 1. Space in the Space : Designing Sound Environments for the Shared Indoor Workspace

   Författare :Martin Ljungdahl Eriksson; Lena Pareto; Davide Rocchesso; Högskolan Väst; []
   Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Sound Environment Design; 4E Cognition; Research through Design; Design program; Sound Users; Ljudmiljö; utformning; arbetsplats; medarbetare; Work Integrated Learning; Arbetsintegrerat lärande;

   Sammanfattning : The sound environment in shared indoor workspaces emerges through the interplay of physical layout, materials, technology, and social dynamics. These spaces are designed with specific purposes in mind, taking acoustics into account during construction. LÄS MER

3. 2. Handledning som undervisningsform i sjuksköterskeprogrammets praktik : en beskrivning av variation i innebörd

   Författare :Ing-Marie Chekol; Institutionen för hälsovetenskaper; []
   Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; contextual analysis; explorative interview; conceptions; nursing education; practical training; experience; Supervision; context-dependent learning; phenomenography.; Pedagogy and didactics; Pedagogik; didaktik;

   Sammanfattning : Swedish nursing education has its roots within a tradition of vocational training in clinical practice. Supervision is commonly used in the practical parts of the education. The aim of the study was to explore, describe and understand the content and meaning of supervision expressed by student nurses and their supervisors. LÄS MER

4. 3. Word Representations for Emergent Communication and Natural Language Processing

   Författare :Mikael Kågebäck; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Extractive summarisation; Emergent communication; Deep reinforcement learning; Natural language processing; Word Representations; Deep learning; Machine learning; Artificial neural networks;

   Sammanfattning : The task of listing all semantic properties of a single word might seem manageable at first but as you unravel all the context dependent subtle variations in meaning that a word can encompass, you soon realize that precise mathematical definition of a word’s semantics is extremely difficult. In analogy, humans have no problem identifying their favorite pet in an image but the task of precisely defining how, is still beyond our capabilities. LÄS MER

5. 4. Unpacking Digital Game-Based Learning : The complexities of developing and using educational games

   Författare :Björn Berg Marklund; Per Backlund; Henrik Engström; Anna-Sofia Alklind Taylor; Kristine Jørgensen; Högskolan i Skövde; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Educational games; Digital Game-Based Learning; case study; games in education; Humaniora-samhällsvetenskap; Humanities and Social sciences; Technology; Teknik; Interaction Lab ILAB ; Interaction Lab ILAB ;

   Sammanfattning : Digital game-based learning has traditionally been examined from an ‘artefact-centric’ perspective that focuses on understanding how game design and principles of learning are, or can be, intertwined. These types of examinations have resulted in many descriptions of games’ educational potential, which has subsequently led to many types of arguments for why games should be used more extensively in formal education. LÄS MER

7. 5. Deep Perceptual Loss and Similarity

   Författare :Gustav Grund Pihlgren; Marcus Liwicki; Fredrik Sandin; Hugo Larochelle; Luleå tekniska universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Image Similarity; Perceptual Similarity; Perceptual Loss; Deep Features; Deep Learning; Machine Learning; Maskininlärning;

   Sammanfattning : This thesis investigates deep perceptual loss and (deep perceptual) similarity; methods for computing loss and similarity for images as the distance between the deep features extracted from neural networks. The primary contributions of the thesis consist of (i) aggregating much of the existing research on deep perceptual loss and similarity, and (ii) presenting novel research into understanding and improving the methods. LÄS MER