Search for dissertations about: "LEARNING MANAGEMENT SYSTEM"

Showing result 1 - 5 of 191 swedish dissertations containing the words LEARNING MANAGEMENT SYSTEM.

  1. 1. Collaboratively Learning Marketing: How Organizations Jointly Develop and Appropriate Marketing Knowledge

    Author : Claus Baderschneider; Företagsekonomiska institutionen; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Nationalekonomi; economic policy; economic systems; economic theory; econometrics; Economics; Strategic alliances; Learning content; Marketing; Knowledge; Collaborative learning; Strategic collaboration; Organizational learning; Inter-organizational learning; ekonometri; ekonomisk teori; ekonomiska system; ekonomisk politik; Management of enterprises; Företagsledning; management;

    Abstract : Business organizations increasingly face the problem of how to generate and share knowledge in collaboration with other, separate, business organizations. Researchers in the field of inter-organizational learning have started to study the partner-characteristic, partner-dynamic, and partner-situational factors that influence the process and outcome of such strategic learning collaboration. READ MORE

  2. 2. Learning-by-modeling : Novel Computational Approaches for Exploring the Dynamics of Learning and Self-governance in Social-ecological Systems

    Author : Emilie Lindkvist; Maja Schlüter; Jon Norberg; Örjan Ekeberg; James Dyke; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Complex adaptive systems; Renewable resources; Adaptive management; Small-scale fisheries; Artificial intelligence; Reinforcement learning; Agent-based modeling; agent-baserade modeller; artificiell intelligens; social-ekologiska system; komplexa adaptiva system; förnyelsebara naturresurser; adaptiv förvaltning; Sustainability Science; vetenskap om hållbar utveckling;

    Abstract : As a consequence of global environmental change, sustainable management and governance of natural resources face critical challenges, such as dealing with non-linear dynamics, increased resource variability, and uncertainty. This thesis seeks to address some of these challenges by using simulation models. READ MORE

  3. 3. Towards Next-Gen Machine Learning Asset Management Tools

    Author : Samuel Idowu; Göteborgs universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Machine Learning; Experiment Management; Experiment management tools; Asset Management; Asset Management Tools; Tools; ML Asset Taxonomy;

    Abstract : Context: The proficiency of machine learning (ML) systems in solving many real-world problems effectively has enabled a paradigm shift toward ML-enabled systems. In ML-enabled software, significant software code artifacts (i.e., assets) are replaced by ML-related assets, introducing multiple system development and production challenges. READ MORE

  4. 4. Conceptions of Crisis Management Capabilities – Municipal Officials’ Perspectives

    Author : Jerry Nilsson; Avdelningen för Brandteknik; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; conceptions.; dependencies; municipality; individual learning; officials; learning organisation; learning; valuable and worth protecting; responsive; Vulnerability analysis; crisis management;

    Abstract : In the Swedish crisis management system, the municipalities have a great responsibility. One part of this responsibility concerns preparing for crises by making risk and vulnerability analyses as well as plans for how to handle extraordinary events. READ MORE

  5. 5. Using Learning Analytics to Understand and Support Collaborative Learning

    Author : Mohammed Saqr; Uno Fors; Jalal Nouri; Barbara Wasson; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Learning analytics; Social Network Analysis; Collaborative Learning; Medical Education; Interaction Analysis; Machine Learning; Information Society; informationssamhället;

    Abstract : Learning analytics (LA) is a rapidly evolving research discipline that uses insights generated from data analysis to support learners and optimize both the learning process and learning environment. LA is driven by the availability of massive data records regarding learners, the revolutionary development of big data methods, cheaper and faster hardware, and the successful implementation of analytics in other domains. READ MORE