Title:
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CHALLENGES OF USING LEARNING ANALYTICS TECHNIQUES TO SUPPORT MOBILE LEARNING |
Author(s):
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Marco Arrigo, Giovanni Fulantelli, Davide Taibi |
ISBN:
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978-989-8533-36-4 |
Editors:
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Inmaculada Arnedillo Sánchez and Pedro Isaías |
Year:
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2015 |
Edition:
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Single |
Keywords:
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Mobile Learning, Learning Analytics, Semantic Web, Linked Open Data, Educational Decision Making |
Type:
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Poster/Demonstration |
First Page:
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147 |
Last Page:
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149 |
Language:
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English |
Cover:
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Full Contents:
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click to dowload
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Paper Abstract:
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Evaluation of Mobile Learning remains an open research issue, especially as regards the activities that take place outside the classroom. In this context, Learning Analytics can provide answers, and offer the appropriate tools to enhance Mobile Learning experiences. In this poster we introduce a task-interaction framework, using learning analytics techniques to support educational decision making, that has been designed by extending the results of well-established studies in this field with the aim of dealing with the complexity of Mobile Learning. |
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