Search for dissertations about: "participatory learning"

Showing result 1 - 5 of 99 swedish dissertations containing the words participatory learning.

2. 1. Plug & Play? Stakeholders’ co-meaningmaking of gamification implementations in workplace learning environments

   Author : Adam Palmquist; Göteborgs universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; gamification; stakeholder; design; implementation; adoption; workplace learning; gamification stakeholder design implementation adoption workplace learning;

   Abstract : This dissertation discusses the implementation process of gamification in organisations’ workplace learning environments, focusing on four stakeholder groups: Administrators, Leaders, Providers and Users. These stakeholder groups are represented across the dissertation’s five articles, which present the results of my investigation of the groups’ meaning attributions to the gamification implementations in their organisations’ learning environments. READ MORE

4. 2. Rethinking power in participatory planning : Towards reflective practice

   Author : Martin Westin; Kaisa Raitio; Tim Richardson; Camilo Calderon; Jonna Bornemark; Sveriges lantbruksuniversitet; Sveriges lantbruksuniversitet; []
   Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Power; participation; frame theory; planning; planners; facilitation; reflective practice; phronesis; Makt; deltagande; dialog; ramteori; planering; planerare; facilitering; process design; reflekterande praktik;

   Abstract : High hopes for democracy and sustainability are placed on participatory planning. Policy makers and scholars argue that broad participation can revitalise democracy and tackle sustainability challenges. Yet, critics claim that power asymmetries stand in the way of realising the potential of participatory planning. READ MORE

5. 3. How on Earth? : Operationalizing the ecosystem service concept for sustainability

   Author : Katja Malmborg; Lisen Schultz; Albert V. Norström; Kaisa Korhonen-Kurki; Stockholms universitet; []
   Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Ecosystem services; Stewardship; Resilience thinking; Knowledge co-production; Landscape management; Learning; vetenskap om hållbar utveckling; Sustainability Science;

   Abstract : Production landscapes are at the center of many of the sustainability challenges that we face. The ecosystem service concept has risen in prominence over the last decades as a tool to support sustainable landscape management. READ MORE

6. 4. Assessing Sustainability and Guiding Development towards More Sustainable Products

   Author : Gunilla Clancy; Chalmers tekniska högskola; []
   Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; action competence; early-stage product development; team learning; wood-based material; role of designer; semi-structured interview; ecolabels; management systems; participatory action research; sustainability assessment;

   Abstract : Companies need to develop more sustainable products that fit into future more sustainable markets. For this reason, the integration of sustainability considerations is needed in the early stages of product development, where a major part of the sustainability performance of a final product is determined. READ MORE

7. 5. Advancing Clinical Decision Support Using Machine Learning & the Internet of Medical Things : Enhancing COVID-19 & Early Sepsis Detection

   Author : Mahbub Ul Alam; Rahim Rahmani; Jaakko Hollmén; Sadok Ben Yahia; Stockholms universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Internet of Medical Things; Patient-Centric Healthcare; Clinical Decision Support System; Predictive Modeling in Healthcare; Health Informatics; Healthcare analytics; COVID-19; Sepsis; COVID-19 Detection; Early Sepsis Detection; Lung Segmentation Detection; Medical Data Annotation Scarcity; Medical Data Sparsity; Medical Data Heterogeneity; Medical Data Security Privacy; Practical Usability Enhancement; Low-End Device Adaptability; Medical Significance; Interpretability; Visualization; LIME; SHAP; Grad-CAM; LRP; Electronic Health Records; Thermal Image; Tabular Medical Data; Chest X-ray; Machine Learning; Deep Learning; Federated Learning; Semi-Supervised Machine Learning; Multi-Task Learning; Transfer Learning; Multi-Modality; Natural Language Processing; ClinicalBERT; GAN; data- och systemvetenskap; Computer and Systems Sciences;

   Abstract : This thesis presents a critical examination of the positive impact of Machine Learning (ML) and the Internet of Medical Things (IoMT) for advancing the Clinical Decision Support System (CDSS) in the context of COVID-19 and early sepsis detection.It emphasizes the transition towards patient-centric healthcare systems, which necessitate personalized and participatory care—a transition that could be facilitated by these emerging fields. READ MORE