Supporting competence development processes on open learning systems through personalization

This thesis aim for promoting the learning objects economy by offering teacher the possibility of generating adaptive and standardized learning designs. The adaptation of the generated learning design considers two of the most relevant users characteristic: their competences and their learning style...

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Detalles Bibliográficos
Autor: Baldiris Navarro, Silvia Margarita
Tipo de recurso: tesis doctoral
Estado:Versión publicada
Fecha de publicación:2012
País:España
Institución:CBUC, CESCA
Repositorio:TDR. Tesis Doctorales en Red
OAI Identifier:oai:www.tdx.cat:10803/98478
Acceso en línea:http://hdl.handle.net/10803/98478
Access Level:acceso abierto
Palabra clave:Disseny d'aprenentatge
Diseños de aprendizaje
Learning designs
Open learning systems
Sistemas de aprendizaje abiertos
Sistemes d'aprenentatge oberts
Learning objects
Objectes d'aprenentatge
Objetos de aprendizaje
Entorno de aprendizaje electrónico adaptativo
Entorn d'aprenentatge electrònic adaptatiu
Adaptative e-learning environments
Estàndards d'aprenentatge electrònic
Estándares de aprendizaje electrónico
e-learning standards
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Descripción
Sumario:This thesis aim for promoting the learning objects economy by offering teacher the possibility of generating adaptive and standardized learning designs. The adaptation of the generated learning design considers two of the most relevant users characteristic: their competences and their learning styles. Standardized and Adaptive Learning Design Generation Process was implemented using HTN planning. Generation process considers a few inputs from the teachers, in particular, those related with the standardized competence definition, the learning objects metadata as well as the data from the initial student model used with adaptation purposes. The learning designs generation process was enriched through the design of two processes, the learning objects searching and positioning processes. These processes permit to look for learning objects in distributed learning objects repositories and use them as inputs for a generated learning design. A layered evaluation process was developed in order to validate the solutions.