RT Journal Article
T1 Peeking into the black box: visualising learning activities
A1 Crespo García, Raquel
A1 Pardo Sánchez, Abelardo
A1 Delgado Kloos, Carlos
A1 Niemann, Katja
A1 Scheffel, Maren
A1 Wolpers, Martin
AB Learning analytics has emerged as the discipline that fosters the learning process based on monitored data. As learning is a complex process that is not limited to a single environment, it benefits from a holistic approach where events in different contexts and settings are observed and combined. This work proposes an approach to increase this coverage. Detailed information is obtained by combining logs from a LMS and events recorded with a virtual machine given to the students. A set of visualisations is then derived from the collected events showing previously hidden aspects of an experience that can be shown to the teaching staff for their consideration. The visualisations presented focus on different learning outcomes, such as self learning, use of industrial tools, time management, information retrieval, collaboration, etc. Depending on the information to convey, different types of visualisations are considered, ranging from graphs to starbusts and from scatter plots to heatmaps.
PB Inderscience Publishers
SN 1753-5255
YR 2012
FD 2012
LK https://hdl.handle.net/10016/19921
UL https://hdl.handle.net/10016/19921
LA eng
NO Work partially funded by the projects: Adaptation of learning scenarios in the .LRN platform based on Contextualized Attention Metadata (CAM) (DE2009-0051), Learn3 (\Plan Nacional de I+D+I" TIN2008-05163/TSI), EEE (\Plan Nacional de I+D+I" TIN 2011-28308-C03-01), and Emadrid: Investigación y desarrollo de tecnologías para el e-learning en la Comunidad de Madrid (S2009/TIC-1650).
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RD 30 may. 2024