Automatic classification of teacher feedback and its potential applications for EFL writing

Gary Cheng; Shu Mei Gloria Chwo; Julia Chen; Dennis Foung; Vincent Lam; Michael Tom

Automatic classification of teacher feedback and its potential applications for EFL writing

Gary Cheng^*, Shu Mei Gloria Chwo, Julia Chen, Dennis Foung, Vincent Lam, Michael Tom

^*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

1 Citation (Scopus)

Abstract

This paper presents and discusses the initial data from a project that aims to develop a system for automatic tracking of student responses to teacher feedback in draft revision. One main purpose of the project is to design and implement a method for automatic classification of teacher feedback on students' draft essays in the EFL context. In this paper, we propose the automatic classification method and evaluate its performance in terms of accuracy. Our findings show that an accuracy of over 96% was achieved when classifying teacher feedback using the proposed method. They also show that the classification results could be analysed with other sets of data such as assessment grades to help teachers reflect on their use of feedback types and refine their feedback practice. This study can provide a basis for future research into automatic analysis of the impact of various feedback types on student revision.

Original language	English
Title of host publication	Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings
Editors	Ahmad Fauzi Mohd Ayub, Antonija Mitrovic, Jie-Chi Yang, Su Luan Wong, Wenli Chen
Publisher	Asia-Pacific Society for Computers in Education
Pages	884-889
Number of pages	6
ISBN (Print)	9789869401265
Publication status	Published - 2017
Externally published	Yes
Event	25th International Conference on Computers in Education, ICCE 2017 - Christchurch, New Zealand Duration: 4 Dec 2017 → 8 Dec 2017

Publication series

Name	Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings

Conference

Conference	25th International Conference on Computers in Education, ICCE 2017
Country/Territory	New Zealand
City	Christchurch
Period	4/12/17 → 8/12/17

Bibliographical note

Publisher Copyright:
© 2017 Asia-Pacific Society for Computers in Education. All rights reserved.

Keywords

Automatic classification
EFL writing
Student essay
Teacher feedback

Access to Document

https://hdl.handle.net/1783.1/104810

Cite this

Cheng, G., Chwo, S. M. G., Chen, J., Foung, D., Lam, V., & Tom, M. (2017). Automatic classification of teacher feedback and its potential applications for EFL writing. In A. F. Mohd Ayub, A. Mitrovic, J.-C. Yang, S. L. Wong, & W. Chen (Eds.), Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings (pp. 884-889). (Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings). Asia-Pacific Society for Computers in Education. https://hdl.handle.net/1783.1/104810

Cheng, Gary ; Chwo, Shu Mei Gloria ; Chen, Julia et al. / Automatic classification of teacher feedback and its potential applications for EFL writing. Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings. editor / Ahmad Fauzi Mohd Ayub ; Antonija Mitrovic ; Jie-Chi Yang ; Su Luan Wong ; Wenli Chen. Asia-Pacific Society for Computers in Education, 2017. pp. 884-889 (Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings).

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title = "Automatic classification of teacher feedback and its potential applications for EFL writing",

abstract = "This paper presents and discusses the initial data from a project that aims to develop a system for automatic tracking of student responses to teacher feedback in draft revision. One main purpose of the project is to design and implement a method for automatic classification of teacher feedback on students' draft essays in the EFL context. In this paper, we propose the automatic classification method and evaluate its performance in terms of accuracy. Our findings show that an accuracy of over 96\% was achieved when classifying teacher feedback using the proposed method. They also show that the classification results could be analysed with other sets of data such as assessment grades to help teachers reflect on their use of feedback types and refine their feedback practice. This study can provide a basis for future research into automatic analysis of the impact of various feedback types on student revision.",

keywords = "Automatic classification, EFL writing, Student essay, Teacher feedback",

author = "Gary Cheng and Chwo, \{Shu Mei Gloria\} and Julia Chen and Dennis Foung and Vincent Lam and Michael Tom",

note = "Publisher Copyright: {\textcopyright} 2017 Asia-Pacific Society for Computers in Education. All rights reserved.; 25th International Conference on Computers in Education, ICCE 2017 ; Conference date: 04-12-2017 Through 08-12-2017",

year = "2017",

language = "English",

isbn = "9789869401265",

series = "Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings",

publisher = "Asia-Pacific Society for Computers in Education",

pages = "884--889",

editor = "\{Mohd Ayub\}, \{Ahmad Fauzi\} and Antonija Mitrovic and Jie-Chi Yang and Wong, \{Su Luan\} and Wenli Chen",

booktitle = "Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings",

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Cheng, G, Chwo, SMG, Chen, J, Foung, D, Lam, V & Tom, M 2017, Automatic classification of teacher feedback and its potential applications for EFL writing. in AF Mohd Ayub, A Mitrovic, J-C Yang, SL Wong & W Chen (eds), Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings. Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings, Asia-Pacific Society for Computers in Education, pp. 884-889, 25th International Conference on Computers in Education, ICCE 2017, Christchurch, New Zealand, 4/12/17. <https://hdl.handle.net/1783.1/104810>

Automatic classification of teacher feedback and its potential applications for EFL writing. / Cheng, Gary; Chwo, Shu Mei Gloria; Chen, Julia et al.
Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings. ed. / Ahmad Fauzi Mohd Ayub; Antonija Mitrovic; Jie-Chi Yang; Su Luan Wong; Wenli Chen. Asia-Pacific Society for Computers in Education, 2017. p. 884-889 (Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

TY - GEN

T1 - Automatic classification of teacher feedback and its potential applications for EFL writing

AU - Cheng, Gary

AU - Chwo, Shu Mei Gloria

AU - Chen, Julia

AU - Foung, Dennis

AU - Lam, Vincent

AU - Tom, Michael

PY - 2017

Y1 - 2017

N2 - This paper presents and discusses the initial data from a project that aims to develop a system for automatic tracking of student responses to teacher feedback in draft revision. One main purpose of the project is to design and implement a method for automatic classification of teacher feedback on students' draft essays in the EFL context. In this paper, we propose the automatic classification method and evaluate its performance in terms of accuracy. Our findings show that an accuracy of over 96% was achieved when classifying teacher feedback using the proposed method. They also show that the classification results could be analysed with other sets of data such as assessment grades to help teachers reflect on their use of feedback types and refine their feedback practice. This study can provide a basis for future research into automatic analysis of the impact of various feedback types on student revision.

AB - This paper presents and discusses the initial data from a project that aims to develop a system for automatic tracking of student responses to teacher feedback in draft revision. One main purpose of the project is to design and implement a method for automatic classification of teacher feedback on students' draft essays in the EFL context. In this paper, we propose the automatic classification method and evaluate its performance in terms of accuracy. Our findings show that an accuracy of over 96% was achieved when classifying teacher feedback using the proposed method. They also show that the classification results could be analysed with other sets of data such as assessment grades to help teachers reflect on their use of feedback types and refine their feedback practice. This study can provide a basis for future research into automatic analysis of the impact of various feedback types on student revision.

KW - Automatic classification

KW - EFL writing

KW - Student essay

KW - Teacher feedback

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M3 - Conference Paper published in a book

AN - SCOPUS:85053936320

SN - 9789869401265

T3 - Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings

SP - 884

EP - 889

BT - Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings

A2 - Mohd Ayub, Ahmad Fauzi

A2 - Mitrovic, Antonija

A2 - Yang, Jie-Chi

A2 - Wong, Su Luan

A2 - Chen, Wenli

PB - Asia-Pacific Society for Computers in Education

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Y2 - 4 December 2017 through 8 December 2017

ER -

Cheng G, Chwo SMG, Chen J, Foung D, Lam V, Tom M. Automatic classification of teacher feedback and its potential applications for EFL writing. In Mohd Ayub AF, Mitrovic A, Yang JC, Wong SL, Chen W, editors, Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings. Asia-Pacific Society for Computers in Education. 2017. p. 884-889. (Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings).

Automatic classification of teacher feedback and its potential applications for EFL writing

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Bibliographical note

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