Titlebook: Advances in User Modeling; UMAP 2011 Workshops, Liliana Ardissono,Tsvi Kuflik Conference proceedings 2012 Springer-Verlag GmbH Berlin Heide

镶嵌细工

Personalization Approaches in Learning Environmentsng issues: pedagogic conversational agents, responsive open learning environments, and user modeling for all. Hereby, we report the state of the art in this area as gathered in the workshop papers and comment on the future research directions as discussed during the sessions.

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A Procedure to Automatically Adapt Questions in Student – Pedagogic Conversational Agent Dialoguesand adapt the dialogue to the student features. In particular, we propose a procedure to adapt the questions of the agents to the learning style and personality of the students. It is our hypothesis that the students will perceive the adaptation in the dialogue and the questions will be better under

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Modelling Empathy in Social Robotic Companionscenario where a social robot acts as a chess companion for children, and describe our current efforts towards endowing such robot with empathic capabilities. A multimodal framework for modeling some of the user’s affective states that combines visual and task-related features is presented. Using thi

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Prosaic

Psycho-pedagogical Mash-Up Design for Personalising the Learning Environment PLE is a mash-up of widgets, small tools, which are arranged together. In order to support the compilation of the individual learning environment, educational components have been identified, which might influence the perception of mash-up designs form a learners’ point of view. These identified ed

condone

Semantic Adaptive Social Webent and traffic is created by the users itself. They create, connect, comment, tag, rate, remix, upload, download, new or existing resources in an architecture of participation, where user contribution and interaction adds value. Users are also involved in a broad range of social activities like cre

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Cpr951

Conjectures in Arithmetic Algebraic Geometryng issues: pedagogic conversational agents, responsive open learning environments, and user modeling for all. Hereby, we report the state of the art in this area as gathered in the workshop papers and comment on the future research directions as discussed during the sessions.