Improved Learning of Academic Writing - Reducing Complexity by Modeling Academic Texts

Gert Faustmann

2018

Abstract

A graphical modeling language for scientific texts is presented, which particularly supports the learning process of academic writing. The supervision process for textual work in higher education is often characterized by misunderstandings, since the agreements are based on the abstract level of the document outline. The written text then often misses an inner structure and suitable representations and thus has little coherence. Since an academic text is a complex combination of text segments, linguistic functions, content, and means of presentation, a notation is proposed that includes these different perspectives. Based on the UML for software modeling, extracts of a text as well as different levels of abstraction can so be part of the learning process. Finally, a software tool is sketched, which can support the construction of document frameworks as well as the creation of the actual text.

Paper Citation

in Harvard Style

Faustmann G. (2018). Improved Learning of Academic Writing - Reducing Complexity by Modeling Academic Texts.In Proceedings of the 10th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-291-2, pages 447-453. DOI: 10.5220/0006792204470453

in Bibtex Style

@conference{csedu18,
author={Gert Faustmann},
title={Improved Learning of Academic Writing - Reducing Complexity by Modeling Academic Texts},
booktitle={Proceedings of the 10th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2018},
pages={447-453},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006792204470453},
isbn={978-989-758-291-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - Improved Learning of Academic Writing - Reducing Complexity by Modeling Academic Texts
SN - 978-989-758-291-2
AU - Faustmann G.
PY - 2018
SP - 447
EP - 453
DO - 10.5220/0006792204470453