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IJIET 2018 Vol.8(5): 342-346 ISSN: 2010-3689
doi: 10.18178/ijiet.2018.8.5.1060

Towards Automatic Classification of Teacher Feedback on Student Writing

Gary Cheng, Julia Chen, Dennis Foung, Vincent Lam, and Michael Tom

Abstract—This paper reports and discusses the results of a study aimed at automatically categorising teacher feedback on student writing. A total of 3412 teachers’ written comments on 90 students’ draft essays were collected from an EFL course offered by a Hong Kong university during the first semester of 2016/17. The data were primarily used to design and implement an automated tool to classify teachers’ comments with respect to a taxonomy of their characteristics. The findings of this study show that the performance of the automated tool is comparable to that of human annotators, suggesting the feasibility of using the automatic approach to identify and analyse different types of teacher feedback. This study can contribute to future research into the investigation of the impact of teacher feedback on student writing in a big data world.

Index Terms—Teacher feedback, draft essay, automatic classification, EFL writing.

Gary Cheng is with the Department of Mathematics and Information Technology, The Education University of Hong Kong, Tai Po, Hong Kong (e-mail: chengks@eduhk.hk).
Julia Chen is with the Educational Development Centre, The Hong Kong Polytechnic University, Hung Hom, Hong Kong (e-mail: julia.chen@polyu.edu.hk).
Dennis Foung, Vincent Lam, and Michael Tom are with the English Language Centre, The Hong Kong Polytechnic University, Hung Hom, Hong Kong (e-mail: dennis.foung@polyu.edu.hk, vincent.wk.lam@polyu.edu.hk, michael.tom@polyu.edu.hk).

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Cite: Gary Cheng, Julia Chen, Dennis Foung, Vincent Lam, and Michael Tom, "Towards Automatic Classification of Teacher Feedback on Student Writing," International Journal of Information and Education Technology vol. 8, no. 5, pp. 342-346, 2018.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Managing Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2022: 2.0), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net

 

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