User knowledge levels in adaptive learning systems can be assessed based on user interactions that are interpreted as Knowledge Indicating Events (KIE). Such an approach makes complex inferences that may be hard to understand for users, and that are not necessarily accurate. We present MyExperiences, an open learner model designed for showing the users the inferences about them, as well as the underlying data. MyExperiences is one of the first open learner models based on tree maps. It constitutes an example of how research into open learner models and information visualization can be combined in an innovative way.
%0 Conference Paper
%1 Kump:2012:SST:2330601.2330640
%A Kump, Barbara
%A Seifert, Christin
%A Beham, Guenter
%A Lindstaedt, Stefanie N.
%A Ley, Tobias
%B Proceedings of the 2Nd International Conference on Learning Analytics and Knowledge
%C New York, NY, USA
%D 2012
%I ACM
%K learninganalytics visualization
%P 153--157
%R 10.1145/2330601.2330640
%T Seeing What the System Thinks You Know: Visualizing Evidence in an Open Learner Model
%U http://doi.acm.org/10.1145/2330601.2330640
%X User knowledge levels in adaptive learning systems can be assessed based on user interactions that are interpreted as Knowledge Indicating Events (KIE). Such an approach makes complex inferences that may be hard to understand for users, and that are not necessarily accurate. We present MyExperiences, an open learner model designed for showing the users the inferences about them, as well as the underlying data. MyExperiences is one of the first open learner models based on tree maps. It constitutes an example of how research into open learner models and information visualization can be combined in an innovative way.
%@ 978-1-4503-1111-3
@inproceedings{Kump:2012:SST:2330601.2330640,
abstract = {User knowledge levels in adaptive learning systems can be assessed based on user interactions that are interpreted as Knowledge Indicating Events (KIE). Such an approach makes complex inferences that may be hard to understand for users, and that are not necessarily accurate. We present MyExperiences, an open learner model designed for showing the users the inferences about them, as well as the underlying data. MyExperiences is one of the first open learner models based on tree maps. It constitutes an example of how research into open learner models and information visualization can be combined in an innovative way.},
acmid = {2330640},
added-at = {2016-01-19T17:35:56.000+0100},
address = {New York, NY, USA},
author = {Kump, Barbara and Seifert, Christin and Beham, Guenter and Lindstaedt, Stefanie N. and Ley, Tobias},
biburl = {https://www.bibsonomy.org/bibtex/235ff54900dfc67fb744b66f861e692e2/ereidt},
booktitle = {Proceedings of the 2Nd International Conference on Learning Analytics and Knowledge},
doi = {10.1145/2330601.2330640},
interhash = {2250e48fd9ffb5309c4a789f3b25af1d},
intrahash = {35ff54900dfc67fb744b66f861e692e2},
isbn = {978-1-4503-1111-3},
keywords = {learninganalytics visualization},
location = {Vancouver, British Columbia, Canada},
numpages = {5},
pages = {153--157},
publisher = {ACM},
series = {LAK '12},
timestamp = {2020-01-19T10:25:33.000+0100},
title = {Seeing What the System Thinks You Know: Visualizing Evidence in an Open Learner Model},
url = {http://doi.acm.org/10.1145/2330601.2330640},
year = 2012
}