Predicting Teachers’ Stroke, through Identity, Immunity, and TPACK: Iranian EFL Teachers in Focus

Document Type : Original Article

Authors

1 Ph.D. Candidate in Applied Linguistics, Department of English Language, Shahreza Branch, Islamic Azad University, Shahreza, Iran

2 Associate Professor of Applied Linguistics, Department of English Language, Shahreza Branch, Islamic Azad University, Shahreza, Iran

10.22077/ali.2025.8873.1090

Abstract

Despite extensive research on teacher qualities, a significant knowledge gap persists regarding the interplay among psychological and professional factors influencing Iranian EFL teachers' performance, particularly concerning teacher stroke. This study aims to address this gap by examining the predictive power of teacher identity, immunity, and Technological Pedagogical Content Knowledge (TPACK) on teacher stroke, within the Iranian EFL context. Participants included 124 Iranian EFL teachers, randomly selected from various regions across Iran, who completed a set of validated questionnaires. Data were collected using the Teacher Immunity Questionnaire, TPACK Questionnaire, Teacher’s Identity Questionnaire, and Teachers’ Stroke Scale. Statistical analysis involved Multiple Regression Analysis to explore the predictive capacity of teacher identity, immunity, and TPACK on stroke. Results revealed a statistically significant relationship among these variables, indicating that teacher identity, immunity, and TPACK collectively explain 46% of the variance in teacher stroke. These findings underscore the importance of integrating these factors into frameworks for supporting teachers' well-being and enhancing teaching effectiveness. The implications extend to stakeholders in EFL education, suggesting targeted interventions to bolster teacher development and instructional quality.

Keywords

References

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Applied Linguistics Inquiry
Volume 3, Issue 1
March 2025
Pages 133-146

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History

  • Receive Date: 12 December 2024
  • Revise Date: 21 January 2025
  • Accept Date: 24 February 2025

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