Teaching data science to undergraduate translation trainees: Pilot evaluation of a task-based course

The advancement in technology has changed the workflow and the role of human translator in recent years. The impact from the trend of technology-mediated translation prompted the ratification of technology literacy as a major competence for modern translators. Consequently, teaching of translation t...

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Main Authors: Da Yan, Junyue Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Psychology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2022.939689/full
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author Da Yan
Junyue Wang
author_facet Da Yan
Junyue Wang
author_sort Da Yan
collection DOAJ
description The advancement in technology has changed the workflow and the role of human translator in recent years. The impact from the trend of technology-mediated translation prompted the ratification of technology literacy as a major competence for modern translators. Consequently, teaching of translation technology including but not limited to Computer-aided Translation (CAT) and Machine Translation (MT) became part of comprehensive curricula for translation training programs. However, in many institutions, the teaching of translation technology was haunted by issues such as: narrow scope of curriculum design, outdated technologies, and unbalance between theories and practices in teaching. The study was the pilot evaluation of a tailored course to foster translation trainees’ knowledge and abilities of data science. The course was designed to be a fundamental step toward sophisticated translation technologies. During the pilot evaluation of the 8-week course, 85 students (n = 85) were recruited as participants. The study adopted a mix-method design by employing a survey to investigate student’s level of satisfaction toward the course and focus group discussion to understand students’ attitudes and perceptions of key aspects of the course. By interpreting the results from statistical analysis of the survey (5.39/7) and thematic analysis of the focus group discussion, the course of data science for translators was well received among participants. The evaluation project manifested the feasibility and effectiveness of a translator-oriented data science course.
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spelling doaj.art-57859fd77b91400db14a4f86e443f2e72022-12-22T02:08:44ZengFrontiers Media S.A.Frontiers in Psychology1664-10782022-08-011310.3389/fpsyg.2022.939689939689Teaching data science to undergraduate translation trainees: Pilot evaluation of a task-based courseDa YanJunyue WangThe advancement in technology has changed the workflow and the role of human translator in recent years. The impact from the trend of technology-mediated translation prompted the ratification of technology literacy as a major competence for modern translators. Consequently, teaching of translation technology including but not limited to Computer-aided Translation (CAT) and Machine Translation (MT) became part of comprehensive curricula for translation training programs. However, in many institutions, the teaching of translation technology was haunted by issues such as: narrow scope of curriculum design, outdated technologies, and unbalance between theories and practices in teaching. The study was the pilot evaluation of a tailored course to foster translation trainees’ knowledge and abilities of data science. The course was designed to be a fundamental step toward sophisticated translation technologies. During the pilot evaluation of the 8-week course, 85 students (n = 85) were recruited as participants. The study adopted a mix-method design by employing a survey to investigate student’s level of satisfaction toward the course and focus group discussion to understand students’ attitudes and perceptions of key aspects of the course. By interpreting the results from statistical analysis of the survey (5.39/7) and thematic analysis of the focus group discussion, the course of data science for translators was well received among participants. The evaluation project manifested the feasibility and effectiveness of a translator-oriented data science course.https://www.frontiersin.org/articles/10.3389/fpsyg.2022.939689/fulltranslation technologynatural language processingdata scienceundergraduate translation trainingpilot evaluation
spellingShingle Da Yan
Junyue Wang
Teaching data science to undergraduate translation trainees: Pilot evaluation of a task-based course
Frontiers in Psychology
translation technology
natural language processing
data science
undergraduate translation training
pilot evaluation
title Teaching data science to undergraduate translation trainees: Pilot evaluation of a task-based course
title_full Teaching data science to undergraduate translation trainees: Pilot evaluation of a task-based course
title_fullStr Teaching data science to undergraduate translation trainees: Pilot evaluation of a task-based course
title_full_unstemmed Teaching data science to undergraduate translation trainees: Pilot evaluation of a task-based course
title_short Teaching data science to undergraduate translation trainees: Pilot evaluation of a task-based course
title_sort teaching data science to undergraduate translation trainees pilot evaluation of a task based course
topic translation technology
natural language processing
data science
undergraduate translation training
pilot evaluation
url https://www.frontiersin.org/articles/10.3389/fpsyg.2022.939689/full
work_keys_str_mv AT dayan teachingdatasciencetoundergraduatetranslationtraineespilotevaluationofataskbasedcourse
AT junyuewang teachingdatasciencetoundergraduatetranslationtraineespilotevaluationofataskbasedcourse