Sökning: "Network learning"

Visar resultat 1 - 5 av 490 avhandlingar innehållade orden Network learning.

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

    Författare :Monika Hattinger; Lars Svensson; Maria Spante; Lennart Malmsköld; Kristina M. Eriksson; Linn Gustavsson Christiernin; Anita Mirijamdotter; Högskolan Väst; []
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER

  3. 2. Storskaligt kreativt samarbete : Organisering och kollektivt lärande i ett konst- och teaterprojekt

    Författare :Aron Schoug; Tore West; Staffan Nilsson; Jon Ohlsson; Peter E Johansson; Stockholms universitet; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Large-scale collaborative creativity; collective learning; organizing; organizational learning; artistic collaboration; theater production; ethnography; leadership; Storskaligt kreativt samarbete; kollektivt lärande; organisering; organisatoriskt lärande; konstnärligt samarbete; teaterproduktion; etnografi; ledarskap; pedagogik; Education;

    Sammanfattning : Storskaliga kreativa samarbeten blir allt vanligare i dagens organisationer, till exempel inom kreativa näringar, innovationsprocesser och utvecklingsprojekt. I sådana samarbeten behöver många individer vara kreativa och deras bidrag sammanflätas. LÄS MER

  4. 3. Machine learning for building energy system analysis

    Författare :Fan Zhang; Johan Håkansson; Chris Bales; Stefan Byttner; Högskolan Dalarna; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; district heating; machine learning; deep learning; HVAC; neural networks;

    Sammanfattning : Buildings account for approximately 40% of the global energy, and Heating, Ventilation, and Air Conditioning (HVAC) contributes to a large proportion of building energy consumption. Two main negative characteristics that contribute to performance degradation and energy waste in an HVAC system are inappropriate control strategies and faults. LÄS MER

  5. 4. Acquisition of Capabilitities through International Technology Transfer

    Författare :Sverker Alänge; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Industrialization; Technology transfer; Network; Entrepreneurship; Industrial economics; Innovation; Diffusion; Developing countries; Infant industry; Motivation;

    Sammanfattning : The focus in this thesis is on the acquisition of static and dynamic capabilities in LDC industry. This has been studied in small industries in Tanzania, which were started through international technology transfer, in which small producing firms from Sweden acted as technology suppliers (The Sister Industry Programme). LÄS MER

  7. 5. Sharing to learn and learning to share : Fitting together metalearning and multi-task learning

    Författare :Richa Upadhyay; Marcus Liwicki; Ronald Phlypo; Rajkumar Saini; Atsuto Maki; Luleå tekniska universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Multi-task learning; Meta learning; transfer learning; knowledge sharing algorithms; Machine Learning; Maskininlärning;

    Sammanfattning : This thesis focuses on integrating learning paradigms that ‘share to learn,’ i.e., Multitask Learning (MTL), and ‘learn (how) to share,’ i.e. LÄS MER