Evidence map›Paper›PMID 41583754›Full record

ArticleFrontiers in psychology2025

Psychological determinants of GenAI adoption for foreign language education: an extended UTAUT2 model and sentiment analysis approach.

Huan Wang, Tian Liu

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

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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.

Huan WangForeign Studies College, Northeastern University, Shenyang, China.
Tian LiuForeign Studies College, Northeastern University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The use of Generative Artificial Intelligence (GenAI) in foreign language education is also a paradigm shift; however, psychological factors that affect its adoption are not well understood. While established models such as the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) describe technology adoption in general, they often fail to capture the unique emotional and cognitive reactions triggered by AI. Methods: This paper thus presents an important construct to explain the special emotional and cognitive reactions triggered by the learning of human-AI collaboration: AI anxiety. Structural equation modeling (SEM) was used to analyze survey data ( Results: The results indicate that Performance Expectancy, Effort Expectancy, and Social Influence positively affect Behavioral Intention. On the other hand, AI Anxiety and Habit significantly negatively affect Behavioral Intention. Sentiment analysis supported these findings, demonstrating positive public sentiment and anxiety and complexity associated with adopting decision-making. Discussion: The research shows that integrating GenAI into learning is not a functional interaction but a complex psychological interaction. The implications of this research are important for people developing technologically sophisticated yet psychologically attuned AI tools.

Indexed as

AI anxietyforeign language educationGenAI adoptionpsychological determinantssentiment analysistechnology adoptionUTAUT2

Identifiers

PMID41583754
PMCPMC12827767

What Socratic holds

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LicenceCC BY
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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 Socratic graph.