The extent to which language teachers use linguistic artificial intelligence applications: an analysis based on selected variables
Year: 2025
Type: article
Study design: Observational Study
Abstract: The purpose of the study was to investigate the degree to which language teachers in Jordan implements the functions of the linguistic artificial intelligence (AI) technology in the teaching process, considering some demographic and professional characteristics. 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 amounted to (128) language teachers in the primary and secondary stages. The study tool was a questionnaire that was developed and distributed electronically, and (54) of them were retrieved, which constitutes (42.1%) of the retrieved questionnaires. The study tool consisted of (43 paragraphs) divided into eight areas: 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.
Source: Frontiers in Education
Institutions: Amman Arab University, Yarmouk University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
Estimated APC paid: $2,353
OpenAlex ID: W4416864450