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.
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Notes
- 1.
Rating scale with the possible following values: 1 extremely poor, 2 poor, 3 below average, 4 average, 5 above average, 6 good and 7 extremely good.
- 2.
Rating score with the possible following values: 0 - worst, 1 very poor, 2 poor, 3 significantly below average, 4 below average, 5 average, 6 above average, 7 significantly above average, 8 good, 9 very good and 10 optimal.
- 3.
Rating scale with the possible following values: 1 very low, 2 low, 3 average, 4 high and 5 very high.
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Acknowledgments
The material included in this paper represents the out come of all members of the Metalogue research project, which is partly funded by the European Union Framework 7 ICT programme, under grant agreement 611073. http://www.metalogue.eu.
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Olivares, E.F., Albert, P., van Helvert, J., Gardner, M. (2016). Designing a Learning Analytics Application to Improve Learner Success in Interactions Based on Multimodal Dialogue Systems. In: Allison, C., Morgado, L., Pirker, J., Beck, D., Richter, J., Gütl, C. (eds) Immersive Learning Research Network. iLRN 2016. Communications in Computer and Information Science, vol 621. Springer, Cham. https://doi.org/10.1007/978-3-319-41769-1_14
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