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.

CHALLENGES OF USING LEARNING ANALYTICS TECHNIQUES TO SUPPORT MOBILE LEARNING

Marco Arrigo;Giovanni Fulantelli;Davide Taibi
2015

Abstract

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.
2015
Istituto per le Tecnologie Didattiche - ITD - Sede Genova
978-989-8533-36-4
Educational decision making; Learning analytics; Linked open data; Mobile learning; Semantic web
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/293166
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