Evidence map›Paper›PMID 42730310›Full record

ArticleFrontiers in psychology2026

Development and validation of the cognitive flexibility scale for AI-supported English language learning (CFS-AISEL).

Xiaomeng Li, Huan Li

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. 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

2 authors.

Xiaomeng LiSchool of Educational Studies, Universiti Sains Malaysia, Penang, Malaysia.
Huan LiSchool of Foreign Languages, Qiongtai Normal University, Haikou, Hainan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The widespread use of AI technology in English language learning and instruction presents numerous challenges for EFL learners, which require higher levels of cognitive flexibility to address. However, existing cognitive flexibility questionnaires are insufficient to comprehensively reflect changes in cognitive flexibility within AI-supported learning environments. Therefore, this study developed the Cognitive Flexibility Scale for AI-Supported English Language Learning (CFS-AISEL) based on a systematic literature review and rigorous questionnaire development methodology. A random sampling method was employed to collect 1,093 responses for exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Of these, 479 were used for EFA and 614 for CFA. A Delphi study was applied for scale content validation. After confirming reliability and validity, the final scale comprised 26 items across five dimensions (cognitive flexibility, tolerance for ambiguity, self-efficacy in AI interactions, emotional flexibility, and ethical flexibility). This study provides practical implications for educators to identify how EFL learners balance the use of AI tools and independent thinking, promoting the deep integration of educational assessment and AI technology.

Indexed as

AI-supported English learningcognitive flexibilityevaluation methodologieshuman-computer interfacescale development

Identifiers

PMID42730310
PMCPMC13564476

What OpenQuestion holds

Textmetadata
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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.