Skip to main content

Computer Assisted Student Interpreters’ Self-assessment: Ways and Inspiration

  • Conference paper
  • First Online:
Book cover Learning Technologies and Systems (SETE 2020, ICWL 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12511))

  • 1039 Accesses

Abstract

This article explores self-assessment of student interpreters by using a CAIT online platform. The aim of this study is to investigate the effective supporting ways of online platform in the development of self-assessment skills for student interpreters. The results indicate that the conceptual, procedural and tactical ways take an active role of improving students’ self-assessment skills. While practicing interpreting, these methods can help student interpreters better understand interpreting standards and be aware of them so as to improve their self-assessment competency. The study explores that the student self-assessment development process with the CAIT platform is from a way of disoriented to relieved, and then to natural. Results also show that teacher’s feedback on students’ self-assessment takes an important role in guiding students’ training and help them keep training. The findings show some inspirations for both teachers and learning designers. Firstly, conceptual, procedural and strategic supporting ways can be put into E-learning platform to improve students’ self-assessment ability of interpreting. But they should be well designed into different places. Secondly, some positive ways should be placed at the beginning of CAIT E-learning self-assessment. Thirdly, teacher should guide students’ self-assessment in this online interpreting practice and give feedback to students’ self-assessment so as to motivate their self-assessment performance.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Sandrelli, A., Jerez, J.D.M.: The impact of information and communication technology on interpreter training: state-of-the-art and future prospects. Interpret. Transl. Trainer 1(2), 269–303 (2007)

    Google Scholar 

  2. Sandrelli, A.: New technologies in interpreter training: CAIT. Textologie und translation (translation and textology), pp. 261–294. gnv, Tubingen (2003)

    Google Scholar 

  3. Regehr, G., Hodges, B., Tiberius, R., Lefchy, J.: Measuring self-assessment skills: an innovative relative ranking model. Acad. Med. 71(10), S52–S74 (1996)

    Article  Google Scholar 

  4. Arumí Ribas, M., Esteve Ruescas, O.: Using instruments aimed at self-regulation in the consecutive interpreting classroom: two case studies. Electron. J. Foreign Lang. Teach. 3(2), 158–89 (2006)

    Google Scholar 

  5. Lee, Y.H.: Self-assessment as an autonomous learning tool in an interpretation classroom. Meta: journal des traducteurs/Meta: Translators’ J. 50(4) (2005)

    Google Scholar 

  6. Witter-Merithew, A., Taylor, M., Johnson, L.: Guided self assessment and professional development planning: a model applied to interpreters in educational settings. In: Nettles, C. (ed.) Tapestry of Our Worlds: Proceedings of the 17th National Conference of the Registry of Interpreters for the Deaf, pp. 153–226. RID Publishing, Silver Spring (2001)

    Google Scholar 

  7. Bartłomiejczyk, M.: Interpreting quality as perceived by trainee interpreters. Interpret. Transl. Trainer 1(2), 247–267 (2007)

    Article  MathSciNet  Google Scholar 

  8. Berber, D.-C.: The use of pedagogical and non-pedagogical ICT in conference interpreter training. In: Pellat, V., Griffiths, K., Shao-Chuan, W. (eds.) Teaching and Testing Interpreting and Translating, pp. 229–249. Peter Lang, Bern (2010)

    Google Scholar 

  9. Deysel, E., Lesch, H.: Experimenting with computer-assisted interpreter training tools for the development of self-assessment skills: national Parliament of RSA. Interpret. Technol. 11, 61 (2018)

    Google Scholar 

  10. Pang, W.: Self-regulated Learning-Principles and Strategies of Teaching and Learning. East China Normal University Press, Shanghai (2003)

    Google Scholar 

  11. Bandura, A.: Social cognitive theory: an agentic perspective. Annu. Rev. Psychol. 52(1), 1–26 (2001)

    Article  MathSciNet  Google Scholar 

  12. Paquette, G.: Designing virtual learning centers. In: Adelsberger, H., Collis, B., Pawlowski, J. (eds.) Handbook on Information Technologies for Education & Training, within the Series International Handbook on Information Systems, pp. 249–271. Springer, Heidelberg (2001). https://doi.org/10.1007/978-3-662-07682-8_16

    Chapter  Google Scholar 

  13. Brisebois, A., Ruelland, D., Paquette, G.: Supporting self-assessment in a competency approach to learning. In: E-learn: World Conference on E-learning in Corporate, Government, Healthcare, and Higher Education. Association for the Advancement of Computing in Education (AACE), pp. 2828–2835 (2005)

    Google Scholar 

  14. Cai, X.: Research on the performance of interpreting interactive teaching model. Chin. Transl. 4, 4–7 (2008)

    Google Scholar 

Download references

Acknowledgements

This work is financially supported by the National Key Project of Social Sciences (18AYY004) the Research Project of the Translation Studies Center of Guangdong University of Foreign Studies (CTS201717B).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Menglian Liu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Liu, M. (2021). Computer Assisted Student Interpreters’ Self-assessment: Ways and Inspiration. In: Pang, C., et al. Learning Technologies and Systems. SETE ICWL 2020 2020. Lecture Notes in Computer Science(), vol 12511. Springer, Cham. https://doi.org/10.1007/978-3-030-66906-5_44

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-66906-5_44

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-66905-8

  • Online ISBN: 978-3-030-66906-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics