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Authors: Laura Vawter and Alke Martens

Affiliation: Computer Science Department, Rostock University, Albert-Einstein-Str. 22, Rostock and Germany

Keyword(s): Language Learning, Computer Assisted Language Learning.

Related Ontology Subjects/Areas/Topics: Computer-Supported Education ; e-Learning ; e-Learning Hardware and Software

Abstract: To start the development of an optimal digital learning environment for language learning we have started with the first question: What current language learning software is available to users? To answer this question an analysis of current computer Assisted Language Learning (CALL) software is necessary. This paper expounds on the systematic analysis of 69 current language software. Based on this structured analysis, we have developed a first framework of requirements for an digital language learning environment. For this purpose, control, user input, software feedback and theoretical educational frameworks were analysed within this investigation. The analysis demonstrates a lack of constructivist frameworks and a higher prevalence of behaviourist educational frameworks in current language software.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Vawter, L. and Martens, A. (2019). An Analysis of Current Language Learning Software. In Proceedings of the 11th International Conference on Computer Supported Education - Volume 1: CSEDU; ISBN 978-989-758-367-4; ISSN 2184-5026, SciTePress, pages 175-183. DOI: 10.5220/0007727101750183

@conference{csedu19,
author={Laura Vawter. and Alke Martens.},
title={An Analysis of Current Language Learning Software},
booktitle={Proceedings of the 11th International Conference on Computer Supported Education - Volume 1: CSEDU},
year={2019},
pages={175-183},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007727101750183},
isbn={978-989-758-367-4},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Computer Supported Education - Volume 1: CSEDU
TI - An Analysis of Current Language Learning Software
SN - 978-989-758-367-4
IS - 2184-5026
AU - Vawter, L.
AU - Martens, A.
PY - 2019
SP - 175
EP - 183
DO - 10.5220/0007727101750183
PB - SciTePress