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Learning Analytics in Mobile Applications Based on Multimodal Interaction

Authors :
Tatiana Person
José Miguel Mota
Inmaculada Arnedillo-Sánchez
Juan Manuel Dodero
Iván Ruiz-Rube
Source :
Lecture Notes on Data Engineering and Communications Technologies ISBN: 9783319683171
Publication Year :
2018
Publisher :
Springer International Publishing, 2018.

Abstract

One of the most valuable skills for teachers is the ability to produce their own digital solutions, translating teaching concepts into end-user computer systems. This often requires the involvement of computing specialists. As a result, the development of educational programming environments remains a challenge. Learning experiences based multimodal interaction applications (gesture interaction, voice recognition or artificial vision) are becoming commonplace in education because they motivate and involve students. This chapter analyses the state-of-the-art in LA techniques and user-friendly authoring tools. It presents a tool to support the creation of multimodal interactive applications equipped with non-intrusive monitoring and analytics capabilities. This tool enables teachers with no programming skills to create interactive LA-enriched learning scenarios. To this end, several components that manage LA activities are included in the tool, they range from automatically capturing users’ interaction with mobile applications, to querying data and retrieving metrics, to visualising tables and charts.

Details

ISBN :
978-3-319-68317-1
ISBNs :
9783319683171
Database :
OpenAIRE
Journal :
Lecture Notes on Data Engineering and Communications Technologies ISBN: 9783319683171
Accession number :
edsair.doi...........e8d56de6baef3d90a449c0467b74584f
Full Text :
https://doi.org/10.1007/978-3-319-68318-8_4