Designing a Learning Analytics Application to Improve Learner Success in Interactions Based on Multimodal Dialogue Systems

Authors

  • Emmanuel Ferreyra Olivares School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, UK
  • Pierre Albert German Research Centre for Arti cial Intelligence GmbH (DFKI), Saarbrücken, Germany
  • Joy van Helvert School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, UK
  • Michael Gardner School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, UK

DOI:

https://doi.org/10.56198/cxq1xs03

Keywords:

Learning analytics, Multimodal dialogue systems, Human- computer interaction

Abstract

Learning processes supported by multimodal interaction systems demand effective tools to measure learner performance and provide meaningful feedback to stakeholders. This paper reviews key features and discusses the implementation of a learning analytics tool that is part of an e-learning multimodal dialogue system, which, in turn, is part of an immersive environment to support different learning scenarios.

Published

05-08-2025

How to Cite

Designing a Learning Analytics Application to Improve Learner Success in Interactions Based on Multimodal Dialogue Systems. (2025). Immersive Learning Research - Academic, 1(1), 171-179. https://doi.org/10.56198/cxq1xs03

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