Learning Analytics for Interpreting

Davide Taibi, Francesca Bianchi, Philipp Kemkes, Ivana Marenzi

Abstract

An important activity in the life of interpreters is terminology work. A primary method for learning technical vocabulary is the creation of personal glossaries. The current paper describes the design and creation of a system that guides the students in autonomous vocabulary work, supports the students’ learning progress, and helps the teacher in monitoring the student commitment to and achievements in the creation of personal glossaries. The system includes a tool for the creation of glossaries, a tracking system that records the students’ actions and the websites they visit while searching the Web for linguistic and content information, and a learning analytics dashboard. The system was tested on a class of 34 university students training in interpreting and the paper reports some preliminary results.

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Paper Citation


in Harvard Style

Taibi D., Bianchi F., Kemkes P. and Marenzi I. (2018). Learning Analytics for Interpreting.In Proceedings of the 10th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-291-2, pages 145-154. DOI: 10.5220/0006774801450154


in Bibtex Style

@conference{csedu18,
author={Davide Taibi and Francesca Bianchi and Philipp Kemkes and Ivana Marenzi},
title={Learning Analytics for Interpreting},
booktitle={Proceedings of the 10th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2018},
pages={145-154},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006774801450154},
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 - Learning Analytics for Interpreting
SN - 978-989-758-291-2
AU - Taibi D.
AU - Bianchi F.
AU - Kemkes P.
AU - Marenzi I.
PY - 2018
SP - 145
EP - 154
DO - 10.5220/0006774801450154