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A Corpus-Based Comparison of Self-Reflection Modalities in Process-Oriented Translator Training

A Corpus-Based Comparison of Self-Reflection Modalities in Process-Oriented Translator Training

Erik Angelone
Copyright: © 2015 |Pages: 16
ISBN13: 9781466666153|ISBN10: 1466666153|EISBN13: 9781466666160
DOI: 10.4018/978-1-4666-6615-3.ch018
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MLA

Angelone, Erik. "A Corpus-Based Comparison of Self-Reflection Modalities in Process-Oriented Translator Training." Handbook of Research on Teaching Methods in Language Translation and Interpretation, edited by Ying Cui and Wei Zhao, IGI Global, 2015, pp. 346-361. https://doi.org/10.4018/978-1-4666-6615-3.ch018

APA

Angelone, E. (2015). A Corpus-Based Comparison of Self-Reflection Modalities in Process-Oriented Translator Training. In Y. Cui & W. Zhao (Eds.), Handbook of Research on Teaching Methods in Language Translation and Interpretation (pp. 346-361). IGI Global. https://doi.org/10.4018/978-1-4666-6615-3.ch018

Chicago

Angelone, Erik. "A Corpus-Based Comparison of Self-Reflection Modalities in Process-Oriented Translator Training." In Handbook of Research on Teaching Methods in Language Translation and Interpretation, edited by Ying Cui and Wei Zhao, 346-361. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-6615-3.ch018

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Abstract

In recent years, process-oriented translator training has gained popularity among trainers and trainees alike, thanks to new, user-friendly pedagogical tools geared towards fostering cognizance of problems and problem-solving. This chapter reports on a corpus-based exploratory study that set out to document variation in student problem-solving discourse when utilizing Integrated Problem and Decision Reporting logs and screen recordings as self-reflection tools. Variation was observed between the two self-reflection modalities, particularly in the domains of the textual level and locus (comprehension, transfer, or production) of problem solving. The discourse generated by students when using screen recording for self-reflection is suggestive of a multi-layered, granular approach, which may, in part, shed light on why screen-recording analysis has proven to be particularly efficacious for the purposes of error detection and mitigation.

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