Sökning: "Learning cycle"
Visar resultat 1 - 5 av 122 avhandlingar innehållade orden Learning cycle.
1. Work-integrated learning in a hospital ward setting : Exploring the interdependency between the professions and the organization
Sammanfattning : Introduction:Contemporary hospital settings are a challenging learning and working environment for healthcare professionals. The challenges are largely related to the increasing need for healthcare caused by an ageing population, a lack of personnel resources, and demands for time efficiency. LÄS MER
2. Learning for well being : Studies using the International Adult Literacy Survey
Sammanfattning : This thesis is a collection of five independent but closely related studies. The overall purpose is to approach the analysis of learning outcomes from a perspective that combines three major elements, namely lifelonglifewide learning, human capital, and the benefits of learning. LÄS MER
3. Drama and Learning in Nursing Education : A study in first and second cycle
Sammanfattning : Aim: The overall aim of this thesis was to explore and describe the nature of students learning through drama in nursing education, in first and second cycle. Methods: Study I was conducted as an integrative review of the literature. Study II was performed as a qualitative phenomenographic study were 16 nursing students was interviewed. LÄS MER
4. Problematisera "görandet" : lärares lärande om kommunikation och resonemang i matematikundervisningen i en organiserad praktikgemenskap
Sammanfattning : Matematiklärares profession och professionella utveckling är grundläggande för elevers lärande. Syftet med studien har varit att följa en process för att förstå vad och hur matematiklärare lär i en praktikgemenskap. En grupp matematiklärare från årskurs 1-6 har träffats regelbundet under ett år. LÄS MER
5. Reinforcement Learning and Dynamical Systems
Sammanfattning : This thesis concerns reinforcement learning and dynamical systems in finite discrete problem domains. Artificial intelligence studies through reinforcement learning involves developing models and algorithms for scenarios when there is an agent that is interacting with an environment. LÄS MER