Eurokd
European KnowledgeDevelopment Institute
Language Teaching Research Quarterly

e‐ISSN

    

2667-6753

CiteScore

  exclamation mark

1.9

ICV

  exclamation mark

124.94

SNIP

  exclamation mark

0.59

SJR

  exclamation mark

0.408

CiteScore

  exclamation mark

1.9

ICV

  exclamation mark

124.94

SNIP

  exclamation mark

0.59

SJR

  exclamation mark

0.408

SCOPUSEBSCOProQuestCrossrefIndex CopernicusMIAR

Original Research

The Interplay of Teacher Energy, Students’ Active and Passive Motivation, and Their Willingness to Attend Classes

Language Teaching Research Quarterly, Volume 54, Pages 212-239, https://doi.org/10.32038/ltrq.2026.54.09

This study examines the interplay of Teacher Energy (TE) on EFL students’ Active/Passive motivation and their willingness to attend classes (WTAC). The study included 300 Iranian EFL learners from various age groups and proficiency levels, who were assessed using already developed and validated scales for TE, Active/Passive Motivation (APM), and WTAC. Structural Equation Modeling (SEM) was employed to analyze the relationships between TE, APM, and WTAC. Results indicated significant positive correlations, with TE having a more substantial influence on WTAC than on motivation. Also, TE was shown to directly and indirectly affect WTAC through APM, establishing motivation as a partial mediator. The findings show that teacher energy not only affects students’ class attendance but also enhances their motivation to learn. There were differences in age and gender: younger students (below 20 years) showed greater responsiveness to TE and motivation, while female students showed stronger cognitive/active motivation and greater willingness to attend than male students.

Loading PDF…
next

Page 1 of

next

Download Count : 16

Visit Count : 225

Acknowledgements

Not applicable.

 

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

 

CRediT Authorship Contribution Statement

Hossein Rahimi: Investigation, Data Curation, Writing – Original Draft, Project administration

Reza Pishghadam (Corresponding Author): Conceptualization, Supervision, Methodology, Validation, Writing – Review & Editing

Shaghayegh Shayesteh: Investigation , Supervision , Formal Analysis , Writing – Review & Editing

Taqi Al Abdwani: Methodology , Validation , Writing – Review & Editing

 

Generative AI Use Disclosure Statement

The authors used generative AI technologies (Grammarly and ChatGPT by OpenAI) to help with style editing, paraphrasing, and improvements to the language. The final draft was carefully reviewed by all authors to ensure clarity and authenticity. Additionally, all content, data analysis, results, and conclusions are original.

 

Ethics Declarations

World Medical Association (WMA) Declaration of Helsinki–Ethical Principles for Medical Research Involving Human Participants

This study was conducted in accordance with established ethical guidelines. Informed consent was obtained from all participants prior to data collection, and their confidentiality and anonymity were strictly ensured throughout the research process.

 

Competing Interests

The authors declare that they have no competing interests.

 

Data Availability

The datasets analyzed during the current study are available from the corresponding author on reasonable request.