5 research outputs found

    Evaluating Recommender Systems for Technology Enhanced Learning: A Quantitative Survey

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    The increasing number of publications on recommender systems for Technology Enhanced Learning (TEL) evidence a growing interest in their development and deployment. In order to support learning, recommender systems for TEL need to consider specific requirements, which differ from the requirements for recommender systems in other domains like e-commerce. Consequently, these particular requirements motivate the incorporation of specific goals and methods in the evaluation process for TEL recommender systems. In this article, the diverse evaluation methods that have been applied to evaluate TEL recommender systems are investigated. A total of 235 articles are selected from major conferences, workshops, journals, and books where relevant work have been published between 2000 and 2014. These articles are quantitatively analysed and classified according to the following criteria: type of evaluation methodology, subject of evaluation, and effects measured by the evaluation. Results from the survey suggest that there is a growing awareness in the research community of the necessity for more elaborate evaluations. At the same time, there is still substantial potential for further improvements. This survey highlights trends and discusses strengths and shortcomings of the evaluation of TEL recommender systems thus far, thereby aiming to stimulate researchers to contemplate novel evaluation approaches.Laboratorio de Investigaci贸n y Formaci贸n en Inform谩tica Avanzad

    Evaluating Recommender Systems for Technology Enhanced Learning: A Quantitative Survey

    Get PDF
    The increasing number of publications on recommender systems for Technology Enhanced Learning (TEL) evidence a growing interest in their development and deployment. In order to support learning, recommender systems for TEL need to consider specific requirements, which differ from the requirements for recommender systems in other domains like e-commerce. Consequently, these particular requirements motivate the incorporation of specific goals and methods in the evaluation process for TEL recommender systems. In this article, the diverse evaluation methods that have been applied to evaluate TEL recommender systems are investigated. A total of 235 articles are selected from major conferences, workshops, journals, and books where relevant work have been published between 2000 and 2014. These articles are quantitatively analysed and classified according to the following criteria: type of evaluation methodology, subject of evaluation, and effects measured by the evaluation. Results from the survey suggest that there is a growing awareness in the research community of the necessity for more elaborate evaluations. At the same time, there is still substantial potential for further improvements. This survey highlights trends and discusses strengths and shortcomings of the evaluation of TEL recommender systems thus far, thereby aiming to stimulate researchers to contemplate novel evaluation approaches.Laboratorio de Investigaci贸n y Formaci贸n en Inform谩tica Avanzad

    Evaluating Recommender Systems for Technology Enhanced Learning: A Quantitative Survey

    Get PDF
    The increasing number of publications on recommender systems for Technology Enhanced Learning (TEL) evidence a growing interest in their development and deployment. In order to support learning, recommender systems for TEL need to consider specific requirements, which differ from the requirements for recommender systems in other domains like e-commerce. Consequently, these particular requirements motivate the incorporation of specific goals and methods in the evaluation process for TEL recommender systems. In this article, the diverse evaluation methods that have been applied to evaluate TEL recommender systems are investigated. A total of 235 articles are selected from major conferences, workshops, journals, and books where relevant work have been published between 2000 and 2014. These articles are quantitatively analysed and classified according to the following criteria: type of evaluation methodology, subject of evaluation, and effects measured by the evaluation. Results from the survey suggest that there is a growing awareness in the research community of the necessity for more elaborate evaluations. At the same time, there is still substantial potential for further improvements. This survey highlights trends and discusses strengths and shortcomings of the evaluation of TEL recommender systems thus far, thereby aiming to stimulate researchers to contemplate novel evaluation approaches.Laboratorio de Investigaci贸n y Formaci贸n en Inform谩tica Avanzad

    An谩lisis de portales para compartir contenido digital en la formaci贸n del profesorado. Una propuesta conceptual de dise帽o

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    Los avances tecnol贸gicos se hacen cada d铆a m谩s presentes en todos los 谩mbitos de la sociedad. En el 谩mbito educativo las principales instituciones internacionales y europeas se han preocupado de promover pol铆ticas para favorecer la construcci贸n de espacios web que congreguen el contenido digital educativo disperso en la red. En el 谩mbito concreto de la formaci贸n del profesorado, las pr谩cticas de compartici贸n son limitadas y los servicios existentes no se adec煤an completamente a la idiosincrasia de este colectivo. Esta tesis tiene como objetivo proporcionar unas gu铆as para el dise帽o de portales educativos que atiendan a las necesidades educativas, sociales y tecnol贸gicas de formadores de profesores y otros profesionales de la educaci贸n. Con el fin de arrojar luz a este problema se realiza una investigaci贸n multim茅todo abordando dos estudios. En primer lugar, se analiza a fondo un portal europeo para la compartici贸n de contenido digital en el 谩mbito de la formaci贸n del profesorado, Share.TEC, as铆 como la informaci贸n proporcionada por sus informantes. Para ello se utiliza el m茅todo de estudio de caso y se recaban y analizan los datos mediante t茅cnicas cualitativas y cuantitativas de investigaci贸n. En segundo lugar se analiza una selecci贸n de portales educativos para compartir contenido digital y experiencias educativas. Para ello se genera un modelo de evaluaci贸n, permitiendo el an谩lisis comparativo de estos portales. Finalmente se proponen un conjunto de consideraciones pedag贸gicas, tecnol贸gicas y sociales para el dise帽o de portales educativos mediante la integraci贸n de las principales interpretaciones de cada estudio. Las contribuciones de este tesis son: 1) la definici贸n de necesidades pedag贸gicas, tecnol贸gicas y sociales de los formadores de profesores y otros profesionales de la educaci贸n sobre el uso de portales para compartir contenidos digitales educativos y experiencias; 2) la generaci贸n de un modelo de evaluaci贸n de portales educativos de contenido digital; 3) la detecci贸n de buenas pr谩cticas de portales educativos; y 4) la propuesta te贸rica para la creaci贸n/remodelaci贸n de portales educativos para la formaci贸n del profesorado.Departamento de Pedagog铆aDoctorado en Investigaci贸n Transdisciplinar en Educaci贸
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