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Author: Gert Faustmann

Affiliation: Hochschule für Wirtschaft und Recht Berlin (Berlin School of Economics and Law), Germany

Keyword(s): Text Coherence, Writing Process, Argument Representation, Text Perspectives, Text Patterns.

Related Ontology Subjects/Areas/Topics: Authoring Tools and Content Development ; Computer-Supported Education ; e-Learning ; Higher Order Thinking Skills ; Information Technologies Supporting Learning ; Learning/Teaching Methodologies and Assessment ; Social Context and Learning Environments ; Theoretical Bases of e-Learning Environments

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
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 2: CSEDU; ISBN 978-989-758-291-2; ISSN 2184-5026, SciTePress, pages 447-453. DOI: 10.5220/0006792204470453

@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 2: CSEDU},
year={2018},
pages={447-453},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006792204470453},
isbn={978-989-758-291-2},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Supported Education - Volume 2: CSEDU
TI - Improved Learning of Academic Writing - Reducing Complexity by Modeling Academic Texts
SN - 978-989-758-291-2
IS - 2184-5026
AU - Faustmann, G.
PY - 2018
SP - 447
EP - 453
DO - 10.5220/0006792204470453
PB - SciTePress