Autonomous Semantic Structuring of Lecture Topics - Synthesis of Knowledge Models

Robin Nicolay, Nikolaj Troels Graf von Malotky, Tanja Auge, Alke Martens

2017

Abstract

Students attending lectures in universities suffer from a weak structural awareness on lecture content. According to learning theories, structural awareness is a relevant factor to association and comprehension of new learning inputs. We synthesize semantic structures from non annotated lecture slides using Topic Modeling algorithms to identify relevant terms and relate them in force-directed graphs. The synthesized graphs provide a structural overview on the topic distribution and relations of non annotated sequential lecture slides.

Paper Citation

in Harvard Style

Nicolay R., Graf von Malotky N., Auge T. and Martens A. (2017). Autonomous Semantic Structuring of Lecture Topics - Synthesis of Knowledge Models . In Proceedings of the 9th International Conference on Computer Supported Education - Volume 2: CSEDU, ISBN 978-989-758-240-0, pages 349-355. DOI: 10.5220/0006367903490355

in Bibtex Style

@conference{csedu17,
author={Robin Nicolay and Nikolaj Troels Graf von Malotky and Tanja Auge and Alke Martens},
title={Autonomous Semantic Structuring of Lecture Topics - Synthesis of Knowledge Models},
booktitle={Proceedings of the 9th International Conference on Computer Supported Education - Volume 2: CSEDU,},
year={2017},
pages={349-355},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006367903490355},
isbn={978-989-758-240-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Supported Education - Volume 2: CSEDU,
TI - Autonomous Semantic Structuring of Lecture Topics - Synthesis of Knowledge Models
SN - 978-989-758-240-0
AU - Nicolay R.
AU - Graf von Malotky N.
AU - Auge T.
AU - Martens A.
PY - 2017
SP - 349
EP - 355
DO - 10.5220/0006367903490355