Search for dissertations about: "distributed learning"

Showing result 1 - 5 of 171 swedish dissertations containing the words distributed learning.

2. 1. Problem-based and conventional medical education from a student perspective : a qualitative analysis comparing students' experience of medical education, approach to learning and reading comprehension

   Author : Ameneh Rahimi; Linköpings universitet; []
   Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Problem-Based Learning PBL ; medical education; learning approach; learning outcome; attitudes; experimental design; qualitative analysis.;

   Abstract : The study is primarily an empirical investigation to students' experiences of university education, approaches to learning and comprehension of a learning task. Sixty medical students, equally distributed over a PBL and a traditional medical school have participated in this study. READ MORE

4. 2. Co-constructing Expertise : Competence Development through Work-Integrated e-Learning in joint Industry-University Collaboration

   Author : Monika Hattinger; Lars Svensson; Maria Spante; Lennart Malmsköld; Kristina M. Eriksson; Linn Gustavsson Christiernin; Anita Mirijamdotter; Högskolan Väst; []
   Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Competence Development; e-Learning design; Learning activities; Co-construction; Manufacturing industry; Expert knowledge; Knotworking; Expansive Transformation; Boundary crossing; Work Integrated Learning; Arbetsintegrerat lärande; Informatik; Informatics;

   Abstract : This thesis is inter-disciplinary and proceed from the ongoing challenges of the increased digitalization, automation and robotization that impact the manufacturing industry's emergent need of high-qualified practitioners. Digitalization also challenges universities to open up to external collaboration and to design blended e-learning targeting industry knowledge needs. READ MORE

5. 3. Generalization under Model Mismatch and Distributed Learning

   Author : Martin Hellkvist; Ayca Özcelikkale; Anders Ahlén; Martin Jaggi; Uppsala universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine learning; Signal processing; Generalization error; Training error; Double-descent; Double descent; Distributed learning; Distributed optimization; Learning over networks; Model mismatch; Model misspecification; Fake features; Missing features; linear regression; regularization; Machine learning; Maskininlärning;

   Abstract : Machine learning models are typically configured by minimizing the training error over a given training dataset. On the other hand, the main objective is to obtain models that can generalize, i.e., perform well on data unseen during training. READ MORE

6. 4. Learning aspect in Italian as a third language : Transfer patterns among multilingual learners in the Swedish context

   Author : Francesco Vallerossa; Camilla Bardel; Anna Bergström; Anna Gudmundson; Llorenç Comajoan-Colomé; Stockholms universitet; []
   Keywords : HUMANIORA; HUMANITIES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; conceptual linguistic transfer; L3 Italian; non- prototypical associations; Romance; tense-aspect; third language acquisition; språkdidaktik; Language Education;

   Abstract : This thesis explores the impact of previously acquired or learned background languages (BL) on the learning of Italian as a third language (L3) among undergraduate students in the Swedish context. Focusing on the learning of past tense-aspect (TA) inflectional categories in Italian, the thesis investigates the influence of Swedish, English and Romance languages, French or Spanish, in light of four factors. READ MORE

7. 5. Uncertainties in Mobile Learning applications : Software Architecture Challenges

   Author : Didac Gil de la Iglesia; Marcelo Milrad; Jesper Andersson; Marc Jansen; Linnéuniversitetet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; distributed systems; uncertainties; self-adaptation; QoS; collaboration; M-Learning; TEL; Mobile Learning; Distributed Systems; Uncertainties; Quality of Service; Self-Adaptation;

   Abstract : The presence of computer technologies in our daily life is growing by leaps and bounds. One of the recent trends is the use of mobile technologies and cloud services for supporting everyday tasks and the sharing of information between users. READ MORE