Evidence map›Paper›PMID 42871093›Full record

SynthesisFrontiers in psychology2026

When does ChatGPT help or hinder? A scoping review of influencing factors in college EFL learners' affective and cognitive experiences.

Ronglin Fu

Abstract readSystematic Review
In one paragraph

Synthesis 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

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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

1 author.

Ronglin FuCollege of Foreign Languages and International Education, Shanghai Jian Qiao University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Existing reviews have established the overall direction of ChatGPT's effects on college English as a Foreign Language (EFL) learners' affective and cognitive experiences but have not systematically addressed under what conditions these effects arise. This scoping review maps the influencing factors reported in 26 empirical studies examining ChatGPT and closely related LLM-based generative AI tools as shaping these experiences. A systematic search of Web of Science, Scopus, and ERIC following PRISMA-ScR guidelines and the (Arksey and O'malley, 2005) framework yielded 829 records, with 26 studies meeting inclusion criteria after deduplication and two-stage screening. Influencing factors were extracted from each study and organized into learner-level, instructional-level, and technology-level categories based on the Cognitive-Affective Theory of Learning with Media. Ten types of influencing factors were identified. Evidence density varied markedly across the three levels, with learner-level factors supported by the largest body of research and technology-level factors by the smallest. Self-efficacy showed consistent mediating pathways across eight studies, while metacognitive awareness produced the most clearly documented conditional differentiation between strategic and surface-level ChatGPT use. Structured instructional integration was the factor with the most consistently positive effects across the three studies that examined it. The influencing factor mapping table reveals that the effects of ChatGPT on EFL learners are not uniform but contingent on the interaction among learner characteristics, instructional design, and technology use patterns, supporting differentiated rather than uniform approaches to ChatGPT integration in college EFL instruction.

Indexed as

affective experienceChatGPTcognitive experienceEnglish as a foreign languageinfluencing factors

Identifiers

PMID42871093
PMCPMC13658153

What OpenQuestion holds

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Registered trials

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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.