Evidence map›Paper›PMID 40440266›Full record

ArticlePloS one2025

AI powered ELT: Instructors' transformative roles and opportunities.

Afnan Almegren, Rehan Megren Almegren, Abduljalil Nasr Hazaea, Hassan Saleh Mahdi, Jamal Kaid Mohammed Ali

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Afnan AlmegrenDepartment of Applied Linguistics, College of Languages, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Rehan Megren AlmegrenDepartment of Applied Linguistics, College of Languages, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.ORCID https://orcid.org/0000-0003-0931-6434
Abduljalil Nasr HazaeaDepartment of English Language Skills (PY), Najran University, Najran, Saudi Arabia.ORCID https://orcid.org/0000-0002-1950-2153
Hassan Saleh MahdiFaculty of Language Studies, Arab Open University, Saudi Arabia.ORCID https://orcid.org/0000-0003-4023-8219
Jamal Kaid Mohammed AliDepartment of English Language and Literature, College of Arts and Letters, University of Bisha, Bisha, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of artificial intelligence (AI) in education is reshaping English language teaching (ELT), redefining the 'assistant' function of technology and the 'interaction' roles of language instructors. This study specifically investigates instructors' roles in AI-powered learning environment and its benefits for ELT. It develops a conceptual framework for AI powered ELT. Using a qualitative approach, data were gathered through online focus group discussions with 22 instructors from different regions. The thematic analysis revealed that AI empowers ELT by enabling personalized teaching, mono-active language practice, increased productivity, automated feedback and assessment, and adaptive material creation. Additionally, instructors assume four key roles: evolving facilitators, blended role practitioners, flexible material designers, and creative prompters. These transformations reflect a departure from the assistant function and the facilitator roles cantered on human interaction to more mono-active roles aligned with AI-powered innovations. The study highlights the necessity for ELT to embrace these new roles to effectively navigate the evolving dynamics of ELT in the different region in the AI era. Acknowledging its qualitative limited scope, the study recommends further broader research on these transformations with specific attention to language skills.

Indexed as

Artificial IntelligenceLanguageTeachingAdultFemaleFocus GroupsHumansLearningMale

Identifiers

PMID40440266
PMCPMC12121750

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.