A Study on Teachers’ Oral Corrective Feedback Based on Computer Data Analysis

DOI

10.2991/978-94-6463-044-2_54How to use a DOI?

Keywords

corrective feedback; computer data analysis; qualitative method

Abstract

Corrective feedback has gained comprehensive attention since 1970s; however, few studies have been conducted to report the current situation in senior high school’s English classes in China. This thesis focused on the current situation of corrective feedback and using computer data analysis to distinguish the difference between teachers’ and students’ belief towards corrective feedback.

It employed a qualitative method and collected data from interviewing and observation. By using computer data analysis technology, this thesis can draw a clearly conclusion:1) students would make a variety of errors during the lesson; however, teachers give different errors diverse concentration; 2) grammar errors and reading comprehensible errors were the most frequently corrected errors; 3) teachers and students both liked reformulation most, but with different reasons. Teachers felt reformulation can help them reduce correction time, while students felt reformulation help them to know directly what to correct; 4) beliefs about corrective feedback from teachers’ and students’ were not the same; learners were more willing to receive corrective feedback about their oral errors, while teachers wanted to spend more time on testing errors; 5) different learners had different expectations towards feedback. For the on level and over level students, they hoped teachers can elaborate more interactive activities and they hoped their oral errors can be corrected; for those under level students, they hoped teachers could stick on the testing points.

Copyright

© 2022 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ting Li
PY  - 2022
DA  - 2022/12/27
TI  - A Study on Teachers’ Oral Corrective Feedback Based on Computer Data Analysis
BT  - Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022)
PB  - Atlantis Press
SP  - 424
EP  - 431
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-044-2_54
DO  - 10.2991/978-94-6463-044-2_54
ID  - Li2022
ER  -