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Storytelling with Learner Data: Guiding Student Reflection on Multimodal Team Data

Authors :
Fernandez-Nieto, Gloria Milena
Echeverria, Vanessa
Shum, Simon Buckingham
Mangaroska, Katerina
Kitto, Kirsty
Palominos, Evelyn
Axisa, Carmen
Martinez-Maldonado, Roberto
Source :
IEEE Transactions on Learning Technologies. Oct 2021 14(5):695-708.
Publication Year :
2021

Abstract

There is growing interest in creating learning analytics feedback interfaces that support students directly. While dashboards and other visualizations are proliferating, the evidence is that many fail to provide meaningful insights that help students reflect productively. The contribution of this article is qualitative and quantitative evidence from two studies evaluating a multimodal teamwork analytics tool in authentic clinical teamwork simulations. Collocated activity data are rendered to help nursing students reflect on errors and stress-related incidents during simulations. The user interface explicitly guides student reflection using data storytelling principles, tuned to the intended learning outcomes. The results demonstrate the potential of interfaces that "tell one data story at a time," by helping students to identify misconceptions and errors; think about strategies they might use to address errors, and reflect on their arousal levels. The results also illuminate broader issues around automated formative assessment, and the intelligibility and accountability of learning analytics.

Details

Language :
English
ISSN :
1939-1382
Volume :
14
Issue :
5
Database :
ERIC
Journal :
IEEE Transactions on Learning Technologies
Publication Type :
Academic Journal
Accession number :
EJ1322316
Document Type :
Journal Articles<br />Reports - Research
Full Text :
https://doi.org/10.1109/TLT.2021.3131842