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Assessing English-speaking proficiency among secondary school students in Pakistan: a quantitative cross-sectional study.

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Title: Assessing English-speaking proficiency among secondary school students in Pakistan: a quantitative cross-sectional study.
Authors: Nageen, Sobia1 sobianageen98@gmail.com, Sarwar, Muhammad1 muhammad.sarwar@superior.edu.pk, Alam, Muhammad1 h.aalam@yahoo.com, Jabeen, Mehlah2 mehlah.n.96@gmail.com, Tayyab, Javaria1 javaria.tayyab@superior.edu.pk
Source: Language Testing in Asia. 8/8/2025, Vol. 15 Issue 1, p1-14. 14p.
Subject Terms: *English as a foreign language, *English language ability testing, *Spoken English, *Secondary school students, *Artificial intelligence
Company/Entity: Common European Framework of Reference for Languages (Project)
Abstract: Standardized assessment of current spoken proficiency levels among secondary school students remains unexplored. This study assessed the current English-speaking proficiency levels among secondary school students in Pakistan. A quantitative cross-sectional design was employed. Fifty female students of grade nine from a public school were selected through stratified systematic sampling. The Spoken English Proficiency Test (SEPT) and Common European Framework of Reference (CEFR) rating scale were used to assess their speaking proficiency. ChatGPT was used as an assessment tool. Data were analyzed through SPSS using descriptive statistics and one-way ANOVA. The Findings indicated that 88% of students were basic users, falling at A1-A2 levels, with only 12% attaining the B1 level and none achieving higher proficiency levels, demonstrating limited speaking competencies. No significant differences were found between science, arts, and computer streams in overall speaking performance. The study provides valuable insights to policymakers and educators to fill the gaps between current and desired proficiency levels. It is recommended to design targeted strategies to enhance speaking skills. [ABSTRACT FROM AUTHOR]
Copyright of Language Testing in Asia is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: <searchLink fieldCode="JN" term="%22Language+Testing+in+Asia%22">Language Testing in Asia</searchLink>. 8/8/2025, Vol. 15 Issue 1, p1-14. 14p.
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  Data: Standardized assessment of current spoken proficiency levels among secondary school students remains unexplored. This study assessed the current English-speaking proficiency levels among secondary school students in Pakistan. A quantitative cross-sectional design was employed. Fifty female students of grade nine from a public school were selected through stratified systematic sampling. The Spoken English Proficiency Test (SEPT) and Common European Framework of Reference (CEFR) rating scale were used to assess their speaking proficiency. ChatGPT was used as an assessment tool. Data were analyzed through SPSS using descriptive statistics and one-way ANOVA. The Findings indicated that 88% of students were basic users, falling at A1-A2 levels, with only 12% attaining the B1 level and none achieving higher proficiency levels, demonstrating limited speaking competencies. No significant differences were found between science, arts, and computer streams in overall speaking performance. The study provides valuable insights to policymakers and educators to fill the gaps between current and desired proficiency levels. It is recommended to design targeted strategies to enhance speaking skills. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Language Testing in Asia is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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