An Environment-Triggered Augmented-Reality Application for Learning Case Grammar
Abstract
We present a handheld Augmented-Reality app that enables learners of German to study case grammar using real objects in their surroundings. The system can easily be integrated into the everyday life of busy learners and provides them with a means to study on their own. Specifically, the app detects objects in the learners’ surroundings and determines their spatial relationship. It then automatically generates quizzes to test dative and accusative cases. The app provides an example of how structural concepts of languages can be taught with AR.
- Citation
- BibTeX
Draxler, F., Wallwitz, E., Schmidt, A. & Chuang, L. L.,
(2020).
An Environment-Triggered Augmented-Reality Application for Learning Case Grammar.
In:
Zender, R., Ifenthaler, D., Leonhardt, T. & Schumacher, C.
(Hrsg.),
DELFI 2020 – Die 18. Fachtagung Bildungstechnologien der Gesellschaft für Informatik e.V..
Bonn:
Gesellschaft für Informatik e.V..
(S. 389-390).
@inproceedings{mci/Draxler2020,
author = {Draxler, Fiona AND Wallwitz, Elena AND Schmidt, Albrecht AND Chuang, Lewis L.},
title = {An Environment-Triggered Augmented-Reality Application for Learning Case Grammar},
booktitle = {DELFI 2020 – Die 18. Fachtagung Bildungstechnologien der Gesellschaft für Informatik e.V.},
year = {2020},
editor = {Zender, Raphael AND Ifenthaler, Dirk AND Leonhardt, Thiemo AND Schumacher, Clara} ,
pages = { 389-390 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Draxler, Fiona AND Wallwitz, Elena AND Schmidt, Albrecht AND Chuang, Lewis L.},
title = {An Environment-Triggered Augmented-Reality Application for Learning Case Grammar},
booktitle = {DELFI 2020 – Die 18. Fachtagung Bildungstechnologien der Gesellschaft für Informatik e.V.},
year = {2020},
editor = {Zender, Raphael AND Ifenthaler, Dirk AND Leonhardt, Thiemo AND Schumacher, Clara} ,
pages = { 389-390 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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More Info
ISBN: 978-3-88579-702-9
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2020
Language:
(en)

Content Type: Text/Conference Paper