Evidence map›Paper›PMID 41009232›Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

Teacher Cognition and Practices in Using Generative AI Tools to Support Student Engagement in EFL Higher-Education Contexts.

Senem Zaimoğlu, Aysun Dağtaş

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Senem ZaimoğluDepartment of English Translation and Interpreting, Çağ University, Mersin 33800, Türkiye.ORCID 0000-0002-6991-4455
Aysun DağtaşDepartment of English Translation and Interpreting, Çağ University, Mersin 33800, Türkiye.ORCID 0000-0003-4226-500X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As Generative Artificial Intelligence (GenAI) tools become increasingly embedded in higher education, English as a Foreign Language (EFL) teachers are challenged to rethink their pedagogical identities and practices. While policy discourses often promote GenAI for its potential to enhance instructional efficiency, little is known about how language teachers conceptualize and employ these tools to foster meaningful student engagement. This study explores how university-level EFL teacherinterpret and implement GenAI technologies to support student engagement through narrative inquiry. Drawing on three-level narrative approach, story, Story, and STORY, it examines nine language teachers' retrospective experiences with GenAI tools across personal, contextual, and sociopolitical dimensions. The findings indicate that teachers' interactions with GenAI are shaped by their pedagogical affordance, as well as their teaching values, imposed political agendas, and professional agency. This study calls for professional development programs specifically designed for teachers' narrative identities to ultimately facilitate the ethical use of GenAI in learner-centered EFL contexts.

Indexed as

EFL teachingGenerative AInarrative inquirystudent engagementteacher cognition

Identifiers

PMID41009232
PMCPMC12466831

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.