Evidence map›Paper›PMID 41346506›Full record

ArticleFrontiers in psychology2025

Perceived AI interactivity and Chinese EFL learners' motivated learning behaviors: the moderating role of daily AI usage duration.

Guo Min, Li Jiazhu

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Guo MinForeign Language Department, Xinyang Normal University, Xinyang, China.
Li JiazhuEnglish Education Department, Jeonbuk National University, Jeonju-si, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of Artificial intelligence (AI) tools in language education has reshaped learners' perceptions and behavioral responses. While earlier studies have examined the cognitive and affective effects of learners' perceived AI interactivity (PAII), less is known about its influence on motivated behavioral engagement. Motivated learning behaviors (MLBs) are crucial for sustained language learning. Accordingly, this study investigated how four dimensions of PAII predict MLBs among 171 Chinese English as a foreign language (EFL) learners, and whether daily AI usage duration (DAIUD) moderates these effects. Participants completed a validated questionnaire measuring PAII, MLBs, and DAIUD. Statistical results indicated that all four PAII dimensions significantly and positively predicted MLBs, with LC exerting the strongest predictive effect and R the weakest. Moreover, DAIUD significantly moderated the paths for R, LC, and P, strengthening their positive associations with MLBs, but it did not significantly moderate the LE path. This study expands the literature by applying a multidimensional construct of PAII to explain learners' MLBs in Chinese EFL contexts. Moreover, these findings offer practical implications for designing learner-centered AI tools, and for educators providing tailored guidance for EFL learners in AI-supported learning.

Indexed as

Chinese EFL learnersdaily AI usage durationmoderation effectmotivated learning behaviorsperceived AI interactivity

Identifiers

PMID41346506
PMCPMC12672483

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.