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Títol:
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Software agents in large scale open e-learning: a critical component for the future of Massive Online Courses (MOOCs)
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Autor/a:
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Bassi, Roxana; Daradoumis, Thanasis; Xhafa Xhafa, Fatos; Caballé Llobet, Santiago; Sula, Ardiana
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Altres autors:
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Universitat Politècnica de Catalunya. Departament de Ciències de la Computació |
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Abstract:
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(c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. |
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Abstract:
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MOOCs or massive open online courses are a recent trend in online education. They combine online resources with social tools and have unique challenges due to the large number of simultaneous participants. This paper analyzes some of the challenges in the areas of MOOC design, delivery and assessment. Then the authors present an approach using software agents to overcome some of the challenges that have been identified, as well as optimize efficiency, reduce costs, and ensure the pedagogical effectiveness and educational quality of large scale online learning courses. This paper is a first step towards research in the usage of software agents in massive online courses that we hope will shed more light on potential real life applications. |
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Abstract:
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Peer Reviewed |
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Matèries:
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-Àrees temàtiques de la UPC::Ensenyament i aprenentatge::TIC's aplicades a l'educació::Ensenyament virtual (eLearning)
-Computer-assisted instruction
-MOOCs (Web-based instruction)
-Artificial intelligence
-E-learning
-MOOC
-OER
-Software agents
-Virtual learning environment
-Ensenyament virtual
-Cursos en línia oberts i massius |
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Drets:
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Tipus de document:
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Article - Versió presentada
Objecte de conferència |
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Publicat per:
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Institute of Electrical and Electronics Engineers (IEEE)
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Compartir:
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