
Design, implementation and evaluation of a data-driven learning didactic unit based on an online series corpus
Author(s) -
Néstor Singer,
José Luis Poblete,
Carlos Velozo
Publication year - 2021
Publication title -
literatura y lingüística
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.219
H-Index - 7
eISSN - 0717-621X
pISSN - 0716-5811
DOI - 10.29344/0717621x.43.2785
Subject(s) - computer science , unit (ring theory) , context (archaeology) , task (project management) , data collection , mathematics education , natural language processing , artificial intelligence , psychology , multimedia , engineering , sociology , paleontology , systems engineering , biology , social science
This paper presents the implementation of a didactic unit based on Singer's proposal for data-driven learning (DDL) within a task-based (TB) framework in the context of Chilean translation education. The didactic intervention has four stages: 1) data collection from students' preferred multimodal consumption in order to generate a written corpus based on the transcription of popular online TV series, 2) the design of a didactic unit that graduates concordance software use and student autonomy by means of linguistic tasks, 3) the application of the approach in an English Language 7 course unit with 24 participants at the Translation Studies undergraduate program at Universidad de Santiago de Chile, and 4) the evaluation of the intervention by means of an online questionnaire. Students' and lecturers' perceptions suggest that a DDL-TB approach is suitable for language teaching in translator education. Further recommendations to improve future DDL-TB projects are also provided.