The Relationship between English Language Teachers’ Personality Types and Attitudes toward Technology

The growing importance of technology for teaching during the Covid-19 pandemic urges educators to become technology-proficient teachers and use technology to run their classes. Meanwhile, teachers with different traits may have various perceptions of using technology. This study explores the relationships between teachers' personality types and attitudes toward adopting technology in English Language Teaching (ELT). Thus, it is aimed to determine if personality types would predict teachers' attitudes toward technology (ATT) in ELT. An online questionnaire with 92 participants (English language teachers) using the Big Five Inventory (John et al., 1991) for personality domains and Kessler's (2007) questionnaire for measuring ATT were utilized. After analyzing the data, it was uncovered that the personality types could predict ATT in ELT. Additionally, there was a significant relationship between personality factors and ATT among English language teachers. The results showed a significant positive relationship between extraversion, agreeableness, conscientiousness, openness to experience on one side, and ATT. Additionally, Neuroticism was not found to be significant in the ATT. The Findings indicated that teachers' negative ATT might have a detrimental effect on its implementation in the classroom. This study's findings might shed new light on the relations between types of personalities and their priority for running technology-oriented classes.

Authors

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-10-01
DOI
https://doi.org/10.22054/ilt.2026.69638.728
Primary Topic
Gender and Technology in Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Relationship between English Language Teachers’ Personality Types and Attitudes toward Technology

Saman Ebadi, Ahmad Najafi
SHILAP Revista de lepidopterología
Gender and Technology in Education
article

The Relationship between English Language Teachers’ Personality Types and Attitudes toward Technology

Saman Ebadi, Ahmad Najafi
article en

Abstract

The growing importance of technology for teaching during the Covid-19 pandemic urges educators to become technology-proficient teachers and use technology to run their classes. Meanwhile, teachers with different traits may have various perceptions of using technology. This study explores the relationships between teachers' personality types and attitudes toward adopting technology in English Language Teaching (ELT). Thus, it is aimed to determine if personality types would predict teachers' attitudes toward technology (ATT) in ELT. An online questionnaire with 92 participants (English language teachers) using the Big Five Inventory (John et al., 1991) for personality domains and Kessler's (2007) questionnaire for measuring ATT were utilized. After analyzing the data, it was uncovered that the personality types could predict ATT in ELT. Additionally, there was a significant relationship between personality factors and ATT among English language teachers. The results showed a significant positive relationship between extraversion, agreeableness, conscientiousness, openness to experience on one side, and ATT. Additionally, Neuroticism was not found to be significant in the ATT. The Findings indicated that teachers' negative ATT might have a detrimental effect on its implementation in the classroom. This study's findings might shed new light on the relations between types of personalities and their priority for running technology-oriented classes.

SHILAP Revista de lepidopterología
Razi University (IR)
Openalex Percentile: Top 15%
Gender and Technology in Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.