Toggle Main Menu Toggle Search

Open Access padlockePrints

Dealing with students' emotions: exploring trait EI theory in translator education

Lookup NU author(s): Dr JC PenetORCiD

Downloads


Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

Human emotions are profoundly social and this becomes particularly salient in the translation profession, where translators often need to withstand close scrutiny of their work by fellow translators, revisers, project managers, clients, etc. The emotions arising from those relationships can be remarkably diverse, from mild to intense, from negative to positive. Similar emotions arise amongst our students when we ask them to engage with authentic, project-based learning. Simulated Translation Bureaus (STBs), for instance, mimic the stresses and strains of the real workplace and therefore generate similarly strong emotions. How can we help our students manage these? Could emotional intelligence be a new dimension to introduce into translator training programmes around the world? According to Trait Emotional Intelligence theory (Trait EI), we cannot ‘enhance’ our students’ personalities, but knowing what kind of personality they have, and the behavioural dispositions they are prone to, may help them to develop coping strategies in the face of adversity (Hubscher-Davidson 2018a, 14). This paper explores the usefulness of Trait EI theory in translator education by applying it to students enrolled on STBs at Newcastle and Swansea universities.


Publication metadata

Author(s): Penet JC, Fernandez-Parra M

Publication type: Article

Publication status: Published

Journal: The Interpreter and Translator Trainer

Year: 2023

Pages: epub ahead of print

Print publication date: 01/09/2023

Online publication date: 04/08/2023

Acceptance date: 13/07/2023

Date deposited: 22/08/2023

ISSN (print): 1750-399X

ISSN (electronic): 1757-0417

Publisher: Taylor & Francis

URL: https://doi.org/10.1080/1750399X.2023.2237327

DOI: 10.1080/1750399X.2023.2237327


Altmetrics

Altmetrics provided by Altmetric


Share