Sökning: "play and learning"
Visar resultat 16 - 20 av 322 avhandlingar innehållade orden play and learning.
16. Learning from Interactions : Forward and Inverse Decision-Making for Autonomous Dynamical Systems
Sammanfattning : Decision-making is the mechanism of using available information to generate solutions to given problems by forming preferences, beliefs, and selecting courses of action amongst several alternatives. In this thesis, we study the mechanisms that generate behavior (the forward problem) and how their characteristics can explain observed behavior (the inverse problem). LÄS MER
17. "Say It Fast, Fluent and Flawless" : formulaicity in the oral language production of young foreign language learners
Sammanfattning : This thesis reports on a study, which investigated the process of early foreign language learning in a classroom context and the functions of multi-word units of language known as formulaic sequences in the oral language production of young foreign language learners. A classroom with 11 students in the age range 9 to 11 years was observed and video recorded for 16 sessions (90 minutes per session). LÄS MER
18. Information and Communication Technology in Teacher Education : Thinking and learning in computer‐supported social practice
Sammanfattning : The aim of this thesis is to investigate how new knowledge can be developed in computer-supported social practice. Participants were selected from newly qualified secondary school teachers and student teachers at a higher education institution in Rwanda. LÄS MER
19. Values in Play – Interactional Life with the Sims
Sammanfattning : This study arises from pedagogical discussion about learning potential with computer games – more precisely, that one game genre called open-ended (sandbox) games can make players explore the game content in such a way that they learn about a specific content or phenomenon while playing. These arguments are strong in the constructionist tradition but are seldom backed up by empirical results. LÄS MER
20. Word Sense Embedded in Geometric Spaces - From Induction to Applications using Machine Learning
Sammanfattning : Words are not detached individuals but part of a beautiful interconnected web of related concepts, and to capture the full complexity of this web they need to be represented in a way that encapsulates all the semantic and syntactic facets of the language. Further, to enable computational processing they need to be expressed in a consistent manner so that similar properties are encoded in a similar way. LÄS MER