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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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High school teachers' perceptions of using ChatGpt for designing English reading comprehension tests for tenth grade students

Authors: Hoàng Hồng Phượng; Lê Thị Hạ Quỳnh;

High school teachers' perceptions of using ChatGpt for designing English reading comprehension tests for tenth grade students

Abstract

Reading tests are effective assessments to evaluate EFL learners’ reading ability; however, designing them has been reported by teachers to be time-consuming and demanding. With the development of AI tools like ChatGPT, many English teachers have employed them to assist in making such tests. While ChatGPT can support the generation of many reading test components, some concern that its created content is not reliable without human supervision. To investigate high school teachers’ perceptions of using ChatGPT for this purpose, we carried out this study using embedded mixed-methods research. We distributed questionnaires to 20 high school teachers who were generally familiar with the tool; then, to gain an in-depth understanding of their opinions, we conducted semi-structured interviews with 10 randomly selected participants. After analyzing the data, we found that between 60% and 95% of the teachers agreed ChatGPT is useful in generating reading tests across various aspects, particularly in generating comprehension questions (95%) and saving time and effort (85%). However, 75% of respondents also recognized that certain issues persist in ChatGPT’s output, such as repetitive or mechanical phrasing in questions, inconsistencies in passage length and structure, and potential inaccuracies or biases. This highlights the crucial role of teachers in reviewing and refining AI-generated content to ensure its suitability before using it in assessments.

Keywords

ChatGPT in EFL/ ELT, English, High School Teachers' perceptions, English Language Assessment

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green