Skip to main content

Applying the Online Intelligent Grading System to College English Writing Teaching: An Empirical Study

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

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

  • 1063 Accesses

Abstract

Currently, much attention has been paid to the online intelligent grading system widely used in college English writing teaching. In an effort to make the best use of the system, the article conducted an empirical study of applying the system to college English writing teaching. The findings are: 1) the intelligent grading system does work efficiently in college English writing teaching, however, it needs to be optimized in assessing the students’ writing texts and providing related feedback; 2) it is necessary to combine with teacher-assisted feedback and supervision on the basis of the intelligent grading system.

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

Similar content being viewed by others

References

  1. Warschauer, M., Ware, P.: Automated writing evaluation: defining the class room research agenda. Lang. Teach. Res. 10(2), 1–24 (2006)

    Article  Google Scholar 

  2. Shermis, M.D., Koch, C.M., Page, E.B., Keith, T.Z., Harrington, S.: Trait ratings for automated essay grading. Educ. Psychol. Meas. 62(1), 5–18 (2002)

    Article  MathSciNet  Google Scholar 

  3. Page, E.: Project essay grade: PEG. In: Shermis, M., Burstein, J. (eds.) Automated Essay Scoring: A Cross-Disciplinary Perspective, pp. 43–54. Erlbaum, Mahwah (2003)

    Google Scholar 

  4. Liang, M.: Constructing a Model for the Computer-assisted Scoring of Chinese EFL Learners’ Argumentative Essays. Foreign Language Teaching and Research Press, Beijing (2011)

    Google Scholar 

  5. Attali, Y.: Exploring the feedback and revision features of criterion. J. Second Lang. Writ. 14, 191–205 (2004)

    Google Scholar 

  6. Warschauer, M., Grimes, D.: Automated writing assessment in the classroom. Pedagog.: Int. J. 3(1), 22–36 (2008)

    Google Scholar 

  7. Grimes, D.: Assessing automated assessment. ftp://ftp.ics.uci.edu/pub/grimesd/AutoAssessment.pdf. Accessed 20 June 2010

    Google Scholar 

  8. Attali, Y., Bridgeman, B., Trapani, C.: Performance of a generic approach in automated essay scoring. J. Technol. Learn. Assess. 10(3), 4 (2010)

    Google Scholar 

  9. Liang, M., Wen, Q.: A critical review and implications of some automated essay scoring systems. Comput.-Assist. Foreign Lang. Educ. 5, 18–24 (2007)

    Google Scholar 

  10. Ge, S., Chen, X.: Automated essay scoring for Chinese EFL learners. Foreign Lang. World 5, 43–50 (2007)

    Google Scholar 

  11. Shermis, M.D.: Automated essay scoring. Turk. J. Distance Educ. 1, 49–59 (2006)

    Google Scholar 

  12. Hoon, T.: Online automated essay assessment: potentials for writing development (2006). http://ausweb.scu.edu.aw06/papers/refereed/tan3/paper.html. Accessed 09 Aug 2010

  13. Scharber, C., Dexter, S., Riedel, E.: Students experiences with an automated essay scorer (2008). http://escholarship.bc.edu/cgi/viewcontent.cgiarticle=1116&context=jtla. Accessed 10 Nov 2009

  14. Yang, et al.: A review of strategies for validating computer-automated scoring. Appl. Meas. Educ. 15(4), 391–412 (2002)

    Article  Google Scholar 

  15. Ericsson, P.F.: The meaning of meaning: is a paragraph more than an equation? In: Ericsson, P.F., Haswell, R.H. (eds.) Machine Scoring of Student Essays: Truth and Consequences, pp. 28–37. Utah State University Press, Logan (2006)

    Chapter  Google Scholar 

  16. Lavolette, E., Polio, C., Kahng, J.: The accuracy of computer-assisted feedback and students’ responses to it. Lang. Learn. Technol. 19, 50–68 (2015)

    Google Scholar 

Download references

Acknowledgement

This work was supported by the Preparatory Research of Special Topics: Anti-epidemic and resumption, 2020 Zhejiang Education Scientific Planning Program, and the 10th National Foreign Language Education Program (grant no. ZGWYJYJJ10A057).

Author information

Authors and Affiliations

Authors

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

Juan, S., Li, C., Saiyun, Z., Xianwu, Z. (2021). Applying the Online Intelligent Grading System to College English Writing Teaching: An Empirical Study. 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_27

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-66906-5_27

  • 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