The extent to which language teachers use linguistic artificial intelligence applications: an analysis based on selected variables

The purpose of the study was to investigate the degree to which language teachers in Jordan t use linguistic artificial intelligence (AI) applications in the teaching process, considering some demographic and professional characteristics. A descriptive analytic methodology was used. The population of the study included all language teachers at the Education Directorate of the Amman District ( N = 304). The study sample comprised (128) language teachers from primary and secondary schools. A questionnaire was developed and distributed electronically; 54 of them were retrieved, yielding a response rate of 42.1%. The study tool consisted of (43 items) divided into eight domains: smart electronic educational games applications, augmented reality, smart chatbots, virtual reality, smart evaluation and tests, the Internet of Things, adaptive learning environment applications, and smartphone applications. The study results indicated that the level of use of linguistic artificial intelligence technology applications among language teachers was high, and that there were statistically significant differences in the use of technology applications by language teachers. Linguistic artificial intelligence is attributed to gender differences in favor of females, and the educational stage in favor of primary and secondary school teachers, while there are no statistically significant differences in the use of linguistic artificial intelligence technology applications by language teachers due to differences in academic qualifications or years of experience.

Authors

Institutions

Publication Details

Journal
Frontiers in Education
Published
2025-12-01
DOI
https://doi.org/10.3389/feduc.2025.1683845
Citations
1
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
2.48
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The extent to which language teachers use linguistic artificial intelligence applications: an analysis based on selected variables

Mohammed A. Al-khawaldeh, Baderaddin Yassin, Khalil Abdel Rahman Fayyoumi, Somayyah Khalil Al-Fayyoumi et al.
1 citations
Frontiers in Education
AI in Service Interactions
2.48
article

The extent to which language teachers use linguistic artificial intelligence applications: an analysis based on selected variables

Mohammed A. Al-khawaldeh, Baderaddin Yassin, Khalil Abdel Rahman Fayyoumi, Somayyah Khalil Al-Fayyoumi, Hanan Almarashdi
article en
1 citations

Abstract

The purpose of the study was to investigate the degree to which language teachers in Jordan t use linguistic artificial intelligence (AI) applications in the teaching process, considering some demographic and professional characteristics. A descriptive analytic methodology was used. The population of the study included all language teachers at the Education Directorate of the Amman District ( N = 304). The study sample comprised (128) language teachers from primary and secondary schools. A questionnaire was developed and distributed electronically; 54 of them were retrieved, yielding a response rate of 42.1%. The study tool consisted of (43 items) divided into eight domains: smart electronic educational games applications, augmented reality, smart chatbots, virtual reality, smart evaluation and tests, the Internet of Things, adaptive learning environment applications, and smartphone applications. The study results indicated that the level of use of linguistic artificial intelligence technology applications among language teachers was high, and that there were statistically significant differences in the use of technology applications by language teachers. Linguistic artificial intelligence is attributed to gender differences in favor of females, and the educational stage in favor of primary and secondary school teachers, while there are no statistically significant differences in the use of linguistic artificial intelligence technology applications by language teachers due to differences in academic qualifications or years of experience.

Frontiers in EducationVol. 10
Amman Arab University (JO), Yarmouk University (JO)
Openalex Percentile: Top 8%
AI in Service Interactions
2.48
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.