Abstract
In this paper we propose the practical application of multimodal conversational interfaces to develop advanced mobile learning applications. Our proposal integrates features of Android APIs on a modular architecture that emphasizes interaction management and context-awareness to build user-adapted, robust and maintainable (mobile learning) m-learning applications. We have applied the proposed framework to develop a mobile learning application that improves users’ interaction to solve practical educative exercises, promotes autonomous learning and self-assessment, personalizes the selection of recommended learning activities considering the student’s preferences and their previous uses, and allows the provision of immediate feedback by means of the automatic assessment.
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This work was supported in part by Projects TRA2015-63708-R and TRA2016-78886-C3-1-R.
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Griol, D., Sanchis, A., Molina, J.M. (2018). A Proposal to Integrate Conversational Interfaces in Mobile Learning Applications. In: Pérez García, H., Alfonso-Cendón, J., Sánchez González, L., Quintián, H., Corchado, E. (eds) International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding. SOCO ICEUTE CISIS 2017 2017 2017. Advances in Intelligent Systems and Computing, vol 649. Springer, Cham. https://doi.org/10.1007/978-3-319-67180-2_67
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DOI: https://doi.org/10.1007/978-3-319-67180-2_67
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