Incorporating android conversational agents in m-learning apps

Smart mobile devices have fostered new learning scenarios that demand sophisticated interfaces. Multimodal conversational agents have became a strong alternative to develop human-machine interfaces that provide a more engaging and human-like relationship between students and the system. The main developers of operating systems for such devices have provided application programming interfaces for developers to implement their own applications, including different solutions for developing graphical interfaces, sensor control and voice interaction. Despite the usefulness of such resources, there are no strategies defined for coupling the multimodal interface with the possibilities that these devices offer to enhance mobile educative apps with intelligent communicative capabilities and adaptation to the user needs. In this paper, we present a practical m-learning application that integrates features of Android application programming interfaces on a modular architecture that emphasizes interaction management and context-awareness to foster user-adaptively, robustness and maintainability.

computer supported education; conversational agents; mobile learning; m-learning; adaptive learning; multimodal interaction; spoken interaction; mobile devices; android; intelligent assistants; university digital libraries

Incorporating android conversational agents in m-learning apps Articles